A5049556791- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Plant Water Relations and Carbon Dynamics
- Landslides and related hazards
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Forest ecology and management
- Cryospheric studies and observations
- Plant and animal studies
- Conservation, Biodiversity, and Resource Management
- Fire effects on ecosystems
- Rangeland and Wildlife Management
- Remote Sensing and Land Use
- Climate variability and models
- Remote-Sensing Image Classification
- Coastal wetland ecosystem dynamics
- Leaf Properties and Growth Measurement
- Soil erosion and sediment transport
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Rangeland Management and Livestock Ecology
- Ecosystem dynamics and resilience
- Wildlife Ecology and Conservation
Indian Institute of Technology Kharagpur
2016-2025
Sarojini Naidu Medical College
2024
Sri Sri University
2024
Punjab Remote Sensing Centre
2020
Krishi Vigyan Kendra, Ghatkhed Amravati
2020
International Centre for Integrated Mountain Development
2019
Indian Institute of Technology Indore
2008-2014
Indian Space Research Organisation
2004-2006
University of Reading
2004
Indian Institute of Remote Sensing
2001-2002
India has experienced significant Land-Use and Land-Cover Change (LULCC) over the past few decades. In this context, careful observation mapping of LULCC using satellite data high to medium spatial resolution is crucial for understanding long-term usage patterns natural resources facilitating sustainable management plan, monitor evaluate development. The present study utilizes images generate national level LULC maps at decadal intervals 1985, 1995 2005 onscreen visual interpretation...
Canopy height serves as a good indicator of forest carbon content. Remote sensing-based direct estimations canopy are usually based on Light Detection and Ranging (LiDAR) or Synthetic Aperture Radar (SAR) interferometric data. LiDAR data is scarcely available for the Indian tropics, while Interferometric SAR from commercial satellites costly. High temporal decorrelation makes freely Sentinel-1 mostly unsuitable tropical forests. Alternatively, other remote sensing biophysical parameters have...
Assessment of the spatio-temporal dynamics shifting cultivation is important to understand opportunities for land restoration. The past studies on mapping North-East (NE) India lack systematic assessment techniques. We have developed a decision tree-based multi-step threshold (DTMT) method consistent and long-term using Landsat data from 1975 2018. Widely used vegetation indices such as normalized difference index (NDVI), Normalized Burn Ratio (NBR) its relative NBR (RdNBR) were integrated...
Although studies on species-level classification and mapping using multisource data machine learning approaches are plenty, the use of with ideal placement central wavelength bandwidth at appropriate spatial resolution, for mangrove species is underreported. The composition a forest has been estimated utilising red-edge spectral bands chlorophyll absorption information from AVIRIS-NG Sentinel-2 data. In this study, three dominant species, Heritiera fomes, Excoecaria agallocha Avicennia...
The COVID-19 lock/slow down affected humanity and livelihood, while it showed some positive effects on the environment with improvement in air quality indicators. Though many studies published after first phase lockdown observed reduction pollutants over India, no yet compared indicators two windows during 2020–2021. This study reports results of rapid assessment seven such as Nitrogen dioxide (NO2), Sulphur (SO2), Formaldehyde (HCHO), Methane (CH4), Carbon monoxide (CO), Aerosol...
As agricultural land expansion is the primary driver of deforestation, agroforestry could be an optimal use strategy for climate change mitigation and reducing pressure on forests. Agroforestry a promising method carbon sequestration. With recent advancements in geospatial data science technology, ability to predict aboveground biomass (AGB) assess ecosystem services rapidly expanding. This study was conducted Belpada Block Balangir, Odisha, forest-dominated region eastern India. We recorded...
Supercooled liquid water clouds can occur in the form of thin layers that have a much larger radiative impact than ice same content because their smaller particle size, yet they are poorly represented climate models. Such may be easily distinguished from by high lidar backscatter coefficient and sharp gradient at cloud top. In this paper, data Lidar In‐space Technology Experiment (LITE), which flew on space shuttle 1994, used to estimate fraction contain supercooled over latitude range ±60°....