R Mukhopadhyay, S Kumar, H Aghababaei… - Geocarto …, 2022 - Taylor & Francis
In the field of forestry studies, microwave remote sensing has broad applications due to the penetration into the semi-transparent media. This feature is used for the estimation of …
BP ME, S Kumar - International Journal of Remote Sensing, 2021 - Taylor & Francis
The characterization of ground targets from a remotely sensed Synthetic Aperture Radar (SAR) image is addressed by polarimetric decomposition. The polarimetric SAR (PolSAR) …
Polarimetric SAR interferometry (PolInSAR) based modeling approaches have been used by several researchers for forest height estimation using airborne and space-borne sensors …
A Aghabalaei, H Ebadi, Y Maghsoudi - International Journal of …, 2020 - Taylor & Francis
Monitoring the earth's biosphere is an essential task to understand the global dynamics of ecosystems, biodiversity, and management aspects. Forests, as a natural resource, have an …
S Kumar, R Sara, J Singh, S Agrawal… - … Applications: Society and …, 2018 - Elsevier
Mapping of forest biophysical parameters is an effective tool for determination of forest inventories, vegetation modeling, and the global carbon cycle. The present study aims at …
MNS Ramya, S Kumar - Science of Remote Sensing, 2021 - Elsevier
Polarimetric decomposition models such as Freeman-Durden's three-component and Yamaguchi's four-component models were used to extract the scattering mechanisms. In a …
BP ME, S Kumar - IETE Technical Review, 2022 - Taylor & Francis
Scattering identification ambiguity has significant effects in the polarimetric SAR (Synthetic Aperture Radar) decomposition and can be reduced by discriminating the permanent and …
A substantial variation in the land cover dynamics has been observed as a consequence of increasing urban expansion. Polarimetric synthetic aperture radar (PolSAR) data is widely …
S Agrawal, S Raghavendra, S Kumar… - Remote Sensing of …, 2019 - Springer
Availability of appropriate geospatial data over the Himalayan and adjacent Tibetan Plateau region has emerged as one of the key data requirements to understand the fragile …