Deep Learning in Remote sensing
<\/strong><\/h1>\nThe Landsat archive, with a multi-decadal global coverage is a prime candidate for deep learning classification methods due to the large data volume. We used 21 million labeled annual temporal sequences to compare deep learners with traditional methods. Results indicate substantial classification improvements of deep learning methods (DLMs) over the RF. These improvements are more pronounced on challenging to classify pixels in heterogenous areas. RF classification accuracy reaches about 70% on average, while DLMs are at 86%-95% range, depending on model architecture. See more here<\/a>.<\/p>\nRemote sensing research highlights<\/strong><\/h1>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300accuracy-299x300.jpg\")
<\/a>\nCreation of pixel-based accuracy maps for RS classification<\/a><\/h4>\nDetailed accuracy maps communicate effectively limitations of RS classification products. Using interpolation methods in the spectral space we demonstrate that ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300greece.jpg\")
<\/a>\nFifteen years of published land cover classifiers<\/a><\/h4>\nA meta-analysis covered fifteen years of published works in the top five RS journals. We identified the added value of ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300globemap.jpg\")
<\/a>\nReview of global and regional land cover products<\/a><\/h4>\nProliferation of satellite data has resulted in a wide range of large scale land cover products. In this review we ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300svm.jpg\")
<\/a>\nSupport Vector Machines in RS problems<\/a><\/h4>\nSupport Vector Machines are a promising family of classifiers due to their low requirements of training samples, fast training times ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300intresults.jpg\")
<\/a>\nRS multi-step classification using intermediate results<\/a><\/h4>\nA new RS classification algorithm is proposed where classification takes place in multiple steps. Initially, easy to classify pixels are ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300lidarground.jpg\")
<\/a>\nAccurate ground detection in waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR data are frequently used to analyze vegetation vertical structure. The majority of LiDAR products (e.g. height, biomass) are ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300biomass.jpg\")
<\/a>\nBiomass estimation using waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR offer considerable benefits in large scale biomass estimation. A new algorithm is proposed that uses information from the ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300msrbf.jpg\")
<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300tree.jpg\")
<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300urban.jpg\")
<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300Katrina.jpg\")
<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300urbansprawl.jpg\")
<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n![\"\"](\"https:\/\/www.aboutgis.com\/wp-content\/uploads\/300wildlifecollision.jpg\")
<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Remote sensing research highlights<\/strong><\/h1>\n<\/a>\nCreation of pixel-based accuracy maps for RS classification<\/a><\/h4>\nDetailed accuracy maps communicate effectively limitations of RS classification products. Using interpolation methods in the spectral space we demonstrate that ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nFifteen years of published land cover classifiers<\/a><\/h4>\nA meta-analysis covered fifteen years of published works in the top five RS journals. We identified the added value of ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nReview of global and regional land cover products<\/a><\/h4>\nProliferation of satellite data has resulted in a wide range of large scale land cover products. In this review we ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nSupport Vector Machines in RS problems<\/a><\/h4>\nSupport Vector Machines are a promising family of classifiers due to their low requirements of training samples, fast training times ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nRS multi-step classification using intermediate results<\/a><\/h4>\nA new RS classification algorithm is proposed where classification takes place in multiple steps. Initially, easy to classify pixels are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nAccurate ground detection in waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR data are frequently used to analyze vegetation vertical structure. The majority of LiDAR products (e.g. height, biomass) are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nBiomass estimation using waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR offer considerable benefits in large scale biomass estimation. A new algorithm is proposed that uses information from the ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/a>\nCreation of pixel-based accuracy maps for RS classification<\/a><\/h4>\nDetailed accuracy maps communicate effectively limitations of RS classification products. Using interpolation methods in the spectral space we demonstrate that ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nFifteen years of published land cover classifiers<\/a><\/h4>\nA meta-analysis covered fifteen years of published works in the top five RS journals. We identified the added value of ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nReview of global and regional land cover products<\/a><\/h4>\nProliferation of satellite data has resulted in a wide range of large scale land cover products. In this review we ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nSupport Vector Machines in RS problems<\/a><\/h4>\nSupport Vector Machines are a promising family of classifiers due to their low requirements of training samples, fast training times ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nRS multi-step classification using intermediate results<\/a><\/h4>\nA new RS classification algorithm is proposed where classification takes place in multiple steps. Initially, easy to classify pixels are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nAccurate ground detection in waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR data are frequently used to analyze vegetation vertical structure. The majority of LiDAR products (e.g. height, biomass) are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nBiomass estimation using waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR offer considerable benefits in large scale biomass estimation. A new algorithm is proposed that uses information from the ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nFifteen years of published land cover classifiers<\/a><\/h4>\nA meta-analysis covered fifteen years of published works in the top five RS journals. We identified the added value of ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nReview of global and regional land cover products<\/a><\/h4>\nProliferation of satellite data has resulted in a wide range of large scale land cover products. In this review we ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nSupport Vector Machines in RS problems<\/a><\/h4>\nSupport Vector Machines are a promising family of classifiers due to their low requirements of training samples, fast training times ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nRS multi-step classification using intermediate results<\/a><\/h4>\nA new RS classification algorithm is proposed where classification takes place in multiple steps. Initially, easy to classify pixels are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nAccurate ground detection in waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR data are frequently used to analyze vegetation vertical structure. The majority of LiDAR products (e.g. height, biomass) are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nBiomass estimation using waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR offer considerable benefits in large scale biomass estimation. A new algorithm is proposed that uses information from the ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nReview of global and regional land cover products<\/a><\/h4>\nProliferation of satellite data has resulted in a wide range of large scale land cover products. In this review we ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nSupport Vector Machines in RS problems<\/a><\/h4>\nSupport Vector Machines are a promising family of classifiers due to their low requirements of training samples, fast training times ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nRS multi-step classification using intermediate results<\/a><\/h4>\nA new RS classification algorithm is proposed where classification takes place in multiple steps. Initially, easy to classify pixels are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nAccurate ground detection in waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR data are frequently used to analyze vegetation vertical structure. The majority of LiDAR products (e.g. height, biomass) are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nBiomass estimation using waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR offer considerable benefits in large scale biomass estimation. A new algorithm is proposed that uses information from the ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nSupport Vector Machines in RS problems<\/a><\/h4>\nSupport Vector Machines are a promising family of classifiers due to their low requirements of training samples, fast training times ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nRS multi-step classification using intermediate results<\/a><\/h4>\nA new RS classification algorithm is proposed where classification takes place in multiple steps. Initially, easy to classify pixels are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nAccurate ground detection in waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR data are frequently used to analyze vegetation vertical structure. The majority of LiDAR products (e.g. height, biomass) are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nBiomass estimation using waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR offer considerable benefits in large scale biomass estimation. A new algorithm is proposed that uses information from the ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nRS multi-step classification using intermediate results<\/a><\/h4>\nA new RS classification algorithm is proposed where classification takes place in multiple steps. Initially, easy to classify pixels are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nAccurate ground detection in waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR data are frequently used to analyze vegetation vertical structure. The majority of LiDAR products (e.g. height, biomass) are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nBiomass estimation using waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR offer considerable benefits in large scale biomass estimation. A new algorithm is proposed that uses information from the ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nAccurate ground detection in waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR data are frequently used to analyze vegetation vertical structure. The majority of LiDAR products (e.g. height, biomass) are ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nBiomass estimation using waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR offer considerable benefits in large scale biomass estimation. A new algorithm is proposed that uses information from the ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nBiomass estimation using waveform LiDAR signals<\/a><\/h4>\nWaveform LiDAR offer considerable benefits in large scale biomass estimation. A new algorithm is proposed that uses information from the ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nA novel multi-scale regression and classification method<\/a><\/h4>\nTypically neural network algorithms use either large (e.g. sigmnoidal) or local (e.g. Gaussian) activation functions. Here we propose a new ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nInterdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\n
Interdisciplinary research highlights<\/strong><\/h1>\n<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/a>\nForest attrition is higher in the Western US, in public and rural lands<\/a><\/h4>\nAnalysis of satellite data in the 1990s identified that the average distance to forest in ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nHigh urban land consumption linked to lower African American population, higher poverty rate and lower income per capita<\/a><\/h4>\nStudy used satellite data to look at developed land consumption across the continental US. Distinct ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nHurricane Katrina flooding disproportionately affected African American neighborhoods<\/a><\/h4>\nIntegration of satellite images with Census data studied the flooding during hurricane Katrina in 2005 ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nUrban growth prediction models: Challenges moving forward<\/a><\/h4>\nUGPMs have allowed us to understand the mechanisms behind urban sprawl. This review goes beyond ...
Read More<\/a><\/div><\/div><\/div>\n<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div>\n
<\/a>\nWildlife vehicle collisions: A review of geographic models<\/a><\/h4>\nCollisions of vehicles with wildlife pose significant dangers for humans and animals. This review examines ...
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\nNews highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Read More<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/p>\n
News highlights<\/strong><\/h1>\n2023. Apr:<\/strong> Special Issue on Deep Leaning on the Landsat Archive Announcement<\/a><\/p>\n2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments.
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
2022. Jan:<\/strong> Grant from SRC Inc to develop deep learning classifiers for remote sensing<\/p>\n 2021. Mar:<\/strong> Grant from NASA to develop a rewilding decision support environment for tortoises in the Galapagos.<\/p>\n 2020. Mar:<\/strong> Grant from the Healthy Water Solutions Center of Excellence to incorporate satellite measurements in water quality assessments. <\/p>\n","protected":false},"excerpt":{"rendered":" Giorgos Mountrakis, Ph.D.Founder & Director | Intelligent Geocomputing LaboratoryProfessor | Dept. of Environmental Resources Engineering | State University of NY College of Environmental Science and ForestryAssociate Editor | ISPRS Journal of Photogrammetry and Remote Sensing Multiple Ph.D. Assistantships available for August 2024 Deep Learning in Remote sensing The Landsat archive, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963"}],"collection":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/comments?post=963"}],"version-history":[{"count":13,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions"}],"predecessor-version":[{"id":1239,"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/pages\/963\/revisions\/1239"}],"wp:attachment":[{"href":"https:\/\/www.aboutgis.com\/wp-json\/wp\/v2\/media?parent=963"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
2019. Dec:<\/strong> Grant from Onondaga County to monitor harmful algal blooms using satellite observations.
2018. Sept:<\/strong> Promoted to Professor.
2017. Feb:<\/strong> NY Times and Washington Post covered our forest attrition work.
2015. May:<\/strong> SUNY ESF Exemplary Researcher Award Announcement<\/a>
2015. Jan:<\/strong> New grant from NASA to study Grazing Systems in the Altai Mountain Transboundary Zone.
2015. Jan:<\/strong> Associate Editor for the ISPRS journal.
2014. Mar:<\/strong> New grant from USDA McIntire-Stennis Program to study uncertainty in satellite-derived forest maps.
2013. May:<\/strong> Promoted to Associate Professor with tenure.
2012. Sep:<\/strong> Received the Excellent Reviewer Award by ISPRS.
2012. May:<\/strong> Invited Keynote Speaker at the 32nd EARSeL Symposium (European RS).
2011. Sep:<\/strong> An educational paper on inquiry-based learning in RS courses was accepted.
2011. Apr:<\/strong> Students presented the space balloon project at the National Conference on Undergraduate Research.
2010. Nov:<\/strong> A review paper on SVM methods was accepted in the ISPRS journal.
2010. Jun:<\/strong> After invitation attended UN FAO meeting in Rome, Italy.
2009. Aug:<\/strong> Full patent awarded by the USPTO on multi-scale neural networks.
2009. Jan:<\/strong> New grant from NASA to study spatiotemporal relationships between bird migration and climate change.
2008. Oct:<\/strong> Guest Editor for a PE&RS Special Issue on Artificial Intelligence in Remote Sensing.
2008. Aug:<\/strong> Recipient of NASA\u2019s prestigious New Investigator Award to study urban dynamics.<\/p>\n\n\n