Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kishor R. Sonawane"'
Automation is a major key component in geospatial technologies. It provides ease while dealing with large-scale studies, and enhances yield precision in decision-making processes. Landsat satellites have proven the Earth’s surface land monitoring s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fd93887e1f84800f36503ef9fb41149
Autor:
Vijay Bhagat, Kishor R. Sonawane
Publikováno v:
Remote Sensing of Land. 1:18-40
Landsat TM and ETM+ datasets are useful for forest change detection (FCD) at good accuracy level. Classified forest maps have been prepared using NDVI calculated from Landsat-5 TM (2009) and Landsat-7 ETM+ (2002) datasets for FCD using post-classific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28792d9df7b2bd7e23d23fa5106ddbe4
https://doi.org/10.21523/gcj1.17010102
https://doi.org/10.21523/gcj1.17010102
Autor:
Vijay Bhagat, Kishor R. Sonawane
Publikováno v:
Journal of Hydroinformatics. 13:661-671
The remotely sensed Landsat Enhanced Thematic Mapper Plus (ETM+) dataset is used for the detection and delineation of water bodies in hilly zones. The water bodies were detected using Surface Wetness Index (SWI), Normalised Difference Vegetation Inde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::832acf575c483c7e7fab421ca1a22b17
https://doi.org/10.2166/hydro.2010.018
https://doi.org/10.2166/hydro.2010.018