A5035903243- Remote Sensing in Agriculture
- Climate change impacts on agriculture
- Leaf Properties and Growth Measurement
- Spectroscopy and Chemometric Analyses
- Agricultural Economics and Practices
- Rice Cultivation and Yield Improvement
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Soil Moisture and Remote Sensing
- Plant Water Relations and Carbon Dynamics
- Soil Geostatistics and Mapping
- Hydrology and Drought Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Irrigation Practices and Water Management
- Soil and Land Suitability Analysis
- Advanced Image Fusion Techniques
- Land Use and Ecosystem Services
- Smart Agriculture and AI
- Crop Yield and Soil Fertility
- Greenhouse Technology and Climate Control
- Agricultural Systems and Practices
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Remote Sensing and LiDAR Applications
- Agricultural risk and resilience
Technology Information, Forecasting and Assessment Council
2022
Indian Space Research Organisation
2006-2021
Ministry of Agriculture & Farmers Welfare
2017-2021
National Centre for Medium Range Weather Forecasting
2016-2021
Remote Sensing Application Center
2009
Punjab Remote Sensing Centre
2005
Indiana University Bloomington
2004
Remote sensing is being increasingly used in different agricultural applications. Hyperspectral remote large continuous narrow wavebands provides significant advancement understanding the subtle changes biochemical and biophysical attributes of crop plants their physiological processes, which otherwise are indistinct multispectral sensing. This article describes spectral properties vegetation both optical thermal range electromagnetic spectrum as affected by its attributes. Different methods...
In the Indian subcontinent, annual average extreme weather events (EWEs) are reported to be increasing during last few decades. The impact of increased EWEs on mortality has become a key issue in terms minimizing it, even with population. present study, based 50 years' data (1970–2019) India Meteorological Department, rates different viz., floods, tropical cyclones, heat waves, cold lightning, etc. were analysed, both at national and state level. analysis was done periods, i.e. annual,...
In this study, various hyperspectral indices were evaluated for estimation of leaf area index (LAI) and crop discrimination under different irrigation treatments. The study was conducted potato using the spectral reflectance values measured by a hand‐held spectro‐radiometer. Three categories indices, such as ratio/difference multivariate derivative based computed. It found that, among band combinations NDVI (normalized difference vegetation index) SAVI (soil adjusted index), combination...
An attempt has been made to assimilate remotely sensed input data in mechanistic crop simulation model World Food Studies (WOFOST) for in-season wheat yield forecasting Punjab state of India. Spatial weather at '5 km × 5 km' grid were generated through interpolation daily available data. Grid-wise sowing date was estimated from time-series normalized difference vegetation index (NDVI) product sensor SPOT satellite (SPOT-VGT). The leaf area (LAI) derived used the WOFOST predicting spatial...
Rapid and reliable assessment of soil characteristics is an important step in agricultural natural resource management. Over the last few decades, diffuse reflec-tance spectroscopy (DRS) has emerged as a new tool to obtain both qualitative quantitative informa-tion on non-invasive manner. The DRS ap-proach attractive because proximal remote mode measurements may be adopted es-timate multiple attributes such physical chemical properties nutrient contents from single reflectance spectrum....
The cropping system approach is a holistic management of variant and invariant resources to optimize the food production. Various indices are used assess evaluate efficiency sustainability systems. These generally computed from data collected by traditional survey methods that time consuming non‐spatial. An attempt has been made derive such using satellite remote sensing for state West Bengal, India. Three indices—Multiple Cropping Index (MCI), Area Diversity (ADI) Cultivated Land...