Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Swarnendu Sekhar Ghosh"'
Autor:
Swarnendu Sekhar Ghosh, Dipankar Mandal, Sandeep Kumar, Narayanarao Bhogapurapu, Biplab Banerjee, Paul Siqueira, Avik Bhattacharya
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18683-18702 (2024)
Accurate crop classification with synthetic aperture radar (SAR) data is a significant area of research and translating into practice from local to regional scale crop inventory mapping. With the growing accessibility to abundant data sources from bo
Externí odkaz:
https://doaj.org/article/03fa2ef80bb74aefadf4434085e71389
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103252- (2023)
Accurate mapping of forest above ground biomass (AGB) is essential for understanding changes in the rate of ecosystem processes such as biomass productivity, litter productivity, actual litter decomposition, and potential litter decomposition during
Externí odkaz:
https://doaj.org/article/7e2d205228c2499ea109c949d3799537
Autor:
Swarnendu Sekhar Ghosh, Subhadip Dey, Narayanarao Bhogapurapu, Saeid Homayouni, Avik Bhattacharya, Heather McNairn
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 934 (2022)
Biophysical parameter retrieval using remote sensing has long been utilized for crop yield forecasting and economic practices. Remote sensing can provide information across a large spatial extent and in a timely manner within a season. Plant Area Ind
Externí odkaz:
https://doaj.org/article/f0fcf2c6ecf14930aa1b8444d140313f
Publikováno v:
2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS).
Autor:
Swarnendu Sekhar Ghosh, Subhadip Dey, Narayanarao Bhogapurapu, Saeid Homayouni, Avik Bhattacharya, Heather McNairn
Publikováno v:
2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS).
Autor:
Subhadip Dey, Heather McNairn, Avik Bhattacharya, Swarnendu sekhar Ghosh, Narayanarao Bhogapurapu, Saeid Homayouni
Publikováno v:
Remote Sensing; Volume 14; Issue 4; Pages: 934
Biophysical parameter retrieval using remote sensing has long been utilized for crop yield forecasting and economic practices. Remote sensing can provide information across a large spatial extent and in a timely manner within a season. Plant Area Ind