A
Arijit Roy
Researcher at Indian Institute of Remote Sensing
Publications - 66
Citations - 1180
Arijit Roy is an academic researcher from Indian Institute of Remote Sensing. The author has contributed to research in topics: Land cover & Biodiversity. The author has an hindex of 14, co-authored 59 publications receiving 783 citations. Previous affiliations of Arijit Roy include National Remote Sensing Centre & Indian Space Research Organisation.
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Predicting the future of species assemblages under climate and land use land cover changes in Himalaya: a geospatial modelling approach
TL;DR: In this article , the impacts of projected climate and Land Use Land Cover (LULC) changes on dominant species assemblages in western Himalaya were investigated using ensemble bioclimatic envelope modeling and logistic regression models.
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Spatial landscape model to characterize biological diversity using R statistical computing environment.
TL;DR: A new methodological approach to characterize biological diversity using spatial model developed during the study viz.
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Red Edge Index as an Indicator of Vegetation Growth and Vigor Using Hyperspectral Remote Sensing Data
Debmita Bandyopadhyay,Debmita Bandyopadhyay,Dhruval Bhavsar,Kamal Pandey,Stutee Gupta,Arijit Roy +5 more
TL;DR: In this paper, the authors used hyperspectral image from Hyperion sensor to indicate the strand growth and vigor of Shorea robusta (Sal) forest in Doon Valley by estimating foliar nitrogen.
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Geospatial data sharing, online spatial analysis and processing of Indian Biodiversity data in Internet GIS domain - A case study for raster based online geo-processing
Harish Karnatak,Kamal Pandey,Kapil Oberai,Arijit Roy,D. Joshi,Hariom Singh,P. L. N. Raju,Y. V. N. Krishna Murthy +7 more
TL;DR: An attempt has been to develop system using python, PostGIS and PHP for raster data analysis over the web for Biodiversity conservation and prioritization and the most important challenge is to develop a system for online raster based geo-spatial analysis and processing based on user defined Area of Interest (AOI) for large rasterData sets.
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Evaluation and integration of ERS-1-SAR and optical sensor data (TM and IRS) for geological investigations
TL;DR: In this article, the authors examined the potential of the C-band imaging radar of ERS-1-SAR for topographic terrain mapping for various applications, mainly structural and lithological mapping in a mineral belt of Bihar and Orissa, India.