Sandeep KumarIndian Institute of Technology Bombay | IIT Bombay · Centre of Studies in Resources Engineering (CSRE)
Sandeep Kumar
Integrated M.Tech. in Geoinformatics
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14
Publications
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Publications
Publications (14)
Majuli is the world’s largest Riverine Island, formed by the headward erosion and migration of the Brahmaputra River. It is a part of the floodplains, which causes loss of arable lands, crops and farmers’ livelihood. To cope and adapt, farming communality adopted hydroponics farming. In this study, high-resolution satellite data (~3 m) were deploye...
The terrestrial biosphere plays a significant role in governing the climate system through regulating carbon fluxes between the vegetation and the atmosphere. Gross primary production (GPP) plays a critical role in understanding the carbon cycle and the biogeochemical process of terrestrial ecosystems. Numerous remote sensing models have been propo...
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 secondary succession. They also play a vital role in evaluating forest carbon pools. This study pres...
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 both current and upcoming dual-polarimetric SAR missions, the capability to generate precise crop maps...
This paper proposes a novel multivariate Gaussian Process
Regression (GPR) approach for multi-class crop classification. We have trained and validated the proposed model
utilising backscatter information from E-SAR C- and L-band
dual-polarimetric data acquired during the AGRISAR 2006
campaign. Further, we use the Product of Experts (PoE)
fusion str...
This paper proposes a novel multivariate Gaussian Process Regression (GPR) approach for multi-class crop classification. Backscatter information from E-SAR L- and C-band dual-polarimetric data acquired during the AGRISAR 2006 campaign were used to train and validate the proposed Gaussian Process Classifier (GPC) model. The model’s accuracy was asse...
Land use refers to the manmade activity that occurs on a piece of land, whereas land cover refers to the biophysical characteristics of the land surface. The Kathmandu district exemplifies the rising urbanization trend that is sweeping the foothills of the Himalayas. Land-use and land-cover (LULC) change analysis were carried out using Landsat-5, L...
Spatio-temporal variability of Land surface temperature is calculated with help of remote sensing and GIS tools. LST is very important phenomenon of research now a day because as a global temperature is increasing due to global warming and it directly affects the land surface and surface temperature increases. TIRS band of Landsat 8 is used for est...
Land resource play a very vital role for the prosperity of any region and its relevant development and management is a matter of extreme concern to the people. Inappropriate use of the land has created so many problems like land degradation, soil erosion, wastes, deteriorate in productivity and so on. Therefore, proper utilisation of land and land...
Questions
Questions (3)
In GCM, which model data is best for indian subcontinent?
I have used two time period datasets (Landsat 8 for 2020 and Landsat 7 for 2001). Brightness Temperature is increasing, while Land Surface Temperature is decreasing. Is it possible or i am doing some mistakes?
I have a image of hotspots having range -1.49 to 4.45.
I wanted to extract only those values which are surrounded by or neighbor of pixel values 0.