Giorgos Mountrakis

Associate Professor in GIS and Remote Sensing, Dept. of Environmental Resources Engineering, SUNY ESF

Google Scholar Profile, h-index=11.

Patent

[01] G. Mountrakis (Inventor). Multi-scale radial basis function neural network. Full patent (#7,577,626) Issued August 18, 2009. More…

Book Chapters

[04] Q. Weng., P. Gamba, G. Mountrakis, M. Pesaresi, L. Lu, T. Kemper, J. Heinzel, G. Xian, H. Jin, H. Miyazaki, B. Xu, S. Quresh, I. Keramitsoglou, Y. Ban, T. Esch, A. Roth, and C. D. Elvidge (2014). Urban Observing Sensors. Book chapter in Global Urban Monitoring and Assessment through Earth Observation, Q. Weng (ed.), CRC Press.
[03] G. Mountrakis (2009). Geographic Data Mining: An Introduction. Invited chapter in the ASPRS Manual of Geographic Information Systems. M. Madden (ed.), Chapter 27, pp. 495-508.
[02] R. Watts, G. Mountrakis (2009). Transportation Spatial Indicators: Relating the Transportation Network to the Land. Invited chapter in the ASPRS Manual of Geographic Information Systems. M. Madden (ed.), Chapter 34, pp. 659-676.
[01] G. Mountrakis, P. Agouris, A. Stefanidis (2004). Similarity Learning in GIS: An Overview of Definitions, Prerequisites and Challenges. M. Vassilakopoulos, A. Papadopoulos and Y. Manolopoulos (eds.) Spatial Databases: Technologies, Techniques and Trends, Idea Group Co, pp. 294-321. More…


Journal Papers

[30] H. Jin+, G. Mountrakis, S. Stehman (in press). Assessing integration of intensity, polarimetric scattering, interferometric coherence and spatial texture metrics in PALSAR-derived land cover classification. To appear in the ISPRS Journal of Photogrammetry and Remote Sensing.

[29] W. Zhuang+, G. Mountrakis (2014). Ground peak identification in dense shrub areas using large footprint waveform LiDAR and Landsat images. International Journal of Digital Earth, 1-44. [1.1MB pdf]

[28] W. Zhuang+, G. Mountrakis (2014). An accurate and computationally efficient algorithm for ground peak identification in large footprint waveform LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 95:81-92. [2.9MB pdf]

[27] L.M. Giencke, M.Dovciak, G. Mountrakis, J.A. Cale, M.J. Mitchell (2014). Beech bark disease: spatial patterns of thicket formation and disease spread in an aftermath forest in the northeastern United States. Canadian Journal of Forest Research, 44:1042–1050. [1.1MB pdf]

[26] H. Jin+, S. Stehman, G. Mountrakis (2014). Assessing the impact of training sample selection on accuracy of an urban classification: a case study in Denver, Colorado. International Journal of Remote Sensing, 35(6): 2067-2081. [0.6MB pdf]

[25] G. Mountrakis , B. Xi+ (2013). Assessing Reference Dataset Representativeness through Confidence Metrics based on Information Density. ISPRS Journal of Photogrammetry and Remote Sensing, 78:129-147. [4.1MB pdf]

[24] H. Jin+, G. Mountrakis (2013). Integration of urban growth modeling products to image-based urban change analysis. International Journal of Remote Sensing, 34(15): 5468-5486. [4.1MB pdf]

[23] R. Khatami+, G. Mountrakis (2012). Implications of Classification Methodological Decisions in Flooding Analysis from Hurricane Katrina. Remote Sensing, 4(12), 3877-3891. [4.9MB pdf]

[22] D. Triantakonstantis+, G. Mountrakis, (2012). Urban growth prediction: A review of computational models and human perceptions. Journal of Geographic System, 4(6): 555-587. [0.5MB pdf]

[21] G. Mountrakis , W. Zhuang+ (2012). Integrating Local and Global Error Statistics for Multi-Scale RBF Network Training: An Assessment on Remote Sensing Data. Public Library of Science (PLOS One), 7(8): e40093. doi:10.1371/journal.pone.0040093.[1.1MB pdf],[link]

[20] H. Jin+, G. Mountrakis , P. Li (2012). A super-resolution mapping method using local indicator variograms. International Journal of Remote Sensing, 33(24): 7747–7773.[3.1MB pdf]

[19] G. Mountrakis, D. Triantakonstantis+ (2012). Inquiry-based learning in remote sensing: A space balloon educational experiment. Journal of Geography in Higher Education, 36(3): 385-401.[0.4MB pdf]

[18] B. Hong, K. Limburg, M. Hall, G. Mountrakis, P. Groffman, K. Hyde, L. Luo+, V. Kelly, S. Myers (2012). An integrated monitoring/modeling framework for assessing human-nature interactions in urbanizing watersheds: Wappinger and Onondaga Creek watersheds, New York, USA. Environmental Modelling & Software, 32:1-15.[3.2MB pdf]

[17] L. Luo+, G. Mountrakis (2012). A multi-process model of adaptable complexity for impervious surface detection. International Journal of Remote Sensing, 33(2):365-381.[1.8MB pdf]

[16] G. Mountrakis, A. Stefanidis (2011). Moving Towards Personalized Geospatial Queries. Journal of Geographic Information System, 3(4): 334-344.[1.0MB pdf]

[15] D. Triantakonstantis+, G. Mountrakis, J. Wang+ (2011). A Spatially Heterogeneous Expert Based (SHEB) Urban Growth Model using Model Regionalization, Journal of Geographic Information System, 3(3):195-210.[3.5MB pdf]

[14] L. Luo+, G. Mountrakis (2011). Converting local spectral and spatial information from a priori classifiers into contextual knowledge for impervious surface classification. ISPRS Journal of Photogrammetry and Remote Sensing, 66(5): 579–587.[1.4MB pdf]

[13] J. Wang+, G. Mountrakis (2011). Developing a multi-network urbanization (MuNU) model: A case study of urban growth in Denver, Colorado. International Journal of Geographical Information Science, 25(2):229-253.[3.9MB pdf]

[12] G. Mountrakis, L. Luo+ (2011). Enhancing and replacing spectral information with intermediate structural inputs: A case study on impervious surface detection. Remote Sensing of Environment, 115(5):1162-1170.[1.8MB pdf]

[11] B. Gong, J. Im, G. Mountrakis (2011). An Artificial Immune Network Approach to Multi-Sensor Land Use/Land Cover Classification. Remote Sensing of Environment, 115(2):600-614. [link]

[10] K. Gunson+, G. Mountrakis, L. Quackenbush (2011). Spatial wildlife-vehicle collision models: A review of current work and their application to transportation mitigation projects. Journal of Environmental Management, 92(4):1074-1082. [317KB pdf]

[09] G. Mountrakis, J. Im, C. Ogole+ (2011). Support vector machines in remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 66(3):247-259. [803KB pdf]

[08] L. Luo+, G. Mountrakis (2010). Integrating intermediate inputs from partially classified images within a hybrid classification framework: An impervious surface estimation example. Remote Sensing of Environment, 114(6):1220-1229. [2.4MB pdf]

[07] G. Mountrakis, K. Gunson+ (2009). Multi-scale spatiotemporal analyses of moose-vehicle collisions: A case study in northern Vermont. International Journal of Geographical Information Science, 23(11):1389-1412. [911KB pdf]

[06] G. Mountrakis, R. Watts, L. Luo+, J. Wang+ (2009). Developing Collaborative Classifiers using an Expert-based Model. Photogrammetric Engineering and Remote Sensing, 75(7):831-844. [944KB pdf]

[05] G. Mountrakis, A. Stefanidis (2008, not refereed). Foreword for Special Issue: Artificial Intelligence in Remote Sensing, Photogrammetric Engineering and Remote Sensing, 74(10):1199. [link]

[04] G. Mountrakis (2008, not refereed). Next generation classifiers: Focusing on integration frameworks. Highlight article for Photogrammetric Engineering and Remote Sensing, 74(10):1178-1180. [694KB pdf]

[03] G. Mountrakis, P. Agouris, A. Stefanidis (2005). Adaptable User Profiles for Intelligent Geospatial Queries. Transactions in GIS, Vol. 9, No. 4, pp. 561-583. [597KB pdf]

[02] G. Mountrakis, P. Agouris, I. Schlaisich, A. Stefanidis (2004). Supporting Quality-Based Image Retrieval Through User Preference Learning. Photogrammetric Engineering and Remote Sensing, Vol. 70, No. 8, pp. 973-981. [2.1MB pdf]

[01] P. Agouris, K. Beard, G. Mountrakis, A. Stefanidis (2000). Capturing and Modeling Geographic Object Change: A Spatio-Temporal Gazetteer Framework. Photogrammetric Engineering and Remote Sensing, Vol. 66, No. 10, pp. 1224-1250. [203KB pdf]

Fully Refereed Conference Papers

[05] A. Stefanidis, C. Georgiadis, P. Agouris, G. Mountrakis (2005). Suitability Assessment of Ground Level Imagery for Geospatial VR Modeling. International Archives of Photogrammetry and Remote Sensing – 3D Virtual Reconstruction and Visualization Conference, Venice, Italy. [261KB pdf]

[04] G. Mountrakis, P. Agouris, A. Stefanidis (2003). Multitemporal Geospatial Query Grouping using Correlation Signatures. IEEE International Conference on Image Processing (ICIP) 2003, Vol. 3, pp. 545’548, Barcelona, Spain. [366KB pdf]

[03] G. Mountrakis, P. Agouris (2003). Learning Similarity with Fuzzy Functions of Adaptable Complexity. 8th International Symposium on Spatial and Temporal Databases (2003), Lecture Notes in Computer Science, Vol. 2750, pp. 412-429, Santorini, Greece. [599KB pdf]

[02] G. Mountrakis, P. Agouris, A. Stefanidis (2002). A Differential Spatiotemporal Model: Primitives and Operators. Advances in Spatial Data Handling, pp. 255-268, Ottawa, Canada.

[01] G. Mountrakis, P. Agouris, A. Stefanidis (2000). Navigating Through Hierarchical Change Propagation in Spatiotemporal Queries. Time 2000 Workshop, IEEE Press, pp. 123-131, Cape Breton, NS, Canada. [254KB pdf]

Refereed Conference Papers

[05] G. Mountrakis, G. Avruskin, K. Beard (2005). Modeling Rurality using Spatial Indicators. Geocomputation 2005, Ann Arbor, MI, USA.

[04] P. Agouris, G. Mountrakis, A.Stefanidis (2001). Establishing correlations in multi-dimensional GIS databases.ISPRS Commission IV Joint Workshop on Challenges in Geospatial Analysis, Integration and Visualization, October 29-31, 2001, Athens, GA, USA. [218KB pdf]

[03] G. Mountrakis, P. Agouris, A. Stefanidis (2000). Modeling and Detecting Change in an Integrated Spatio-Temporal Environment. International Archives of Photogrammetry and Remote Sensing, Vol. 33, Part B4, pp. 694-701, Amsterdam, The Netherlands. [254KB pdf]

[02] G. Mountrakis, P. Agouris, A. Stefanidis, K. Beard (2000). Automated spatio-temporal change detection in digital aerial imagery. Aerosense 2000, SPIE Proceedings Vol. 4054, pp. 2-12, Orlando, FL. [310KB pdf]

[01] G. Karras, G. Mountrakis, P. Patias, E. Petsa (1998). Modeling Distortion of super-wide-angle lenses for Architectural and Archaeological applications. International Archives of Photogrammetry & Remote Sensing, 32(5), pp. 570-573, Hakodate, Japan. [216KB pdf]

+ identifies current or former advisee.