A5045148304- Remote Sensing in Agriculture
- Precipitation Measurement and Analysis
- Climate variability and models
- Lightning and Electromagnetic Phenomena
- Marine and coastal ecosystems
- Fire effects on ecosystems
- Hydrology and Drought Analysis
- Soil Moisture and Remote Sensing
- Meteorological Phenomena and Simulations
- Land Use and Ecosystem Services
- Oceanographic and Atmospheric Processes
- Plant Water Relations and Carbon Dynamics
- Atmospheric aerosols and clouds
- Leaf Properties and Growth Measurement
- Spectroscopy and Chemometric Analyses
- Remote-Sensing Image Classification
- Soil Geostatistics and Mapping
- Marine and fisheries research
- Atmospheric chemistry and aerosols
- Hydrology and Watershed Management Studies
- Remote Sensing and Land Use
- Atmospheric Ozone and Climate
- Soil and Land Suitability Analysis
- Urban Heat Island Mitigation
- Climate change impacts on agriculture
National Remote Sensing Centre
2014-2023
Indian Space Research Organisation
2014-2020
Government of India
2020
Daily gridded (0.5° × 0.5°) rainfall data between 1971 and 2005 were used to detect spatial patterns of trend in rainy days during the Indian Summer Monsoon (June September). A non-parametric (Mann–Kendall test) method was test for monotonic at each grid level. The magnitude is estimated using Sen's method. Further, a field significance applied assess significant an aggregated level over meteorological subdivision. statistically (α = 0.1) increasing both monsoon season found east coast...
The reflectance spectrum of species in a hyperspectral data can be modelled as an n-dimensional vector. A spectral angle mapper (SAM) computes the between vectors that is used to discriminate species. Spectral information divergence (SID) models probability distribution so variability bands extracted using stochastic measures. hybrid approach SAM and SID found better discriminator than or on their own. correlation (SCA) computed cosine Pearsonian coefficient vectors. SCA measure it considers...
Bacterial leaf blight (BLB) is one of the most common diseases rice in India, which may lead to partial or total crop loss based on time infestation. Hence, on-time identification disease and its distribution over affected region could provide useful information for minimizing loss. In present study, a comprehensive approach has been adopted monitor BLB-affected using hyperspectral data at filed scale upscale observations village-level multispectral satellite data. The spectro-radiometer...
The inflection point of spectral reflectance crop in the red edge region (680–780 nm) is termed as position (REP), which sensitive to biochemical and biophysical parameters. We propose a technique for automatic detection four dynamic wavebands, i.e. two far-red near-infrared (NIR) from hyperspectral data, REP estimation using linear extrapolation method. A field experiment was conducted at SHIATS Farm, Allahabad, India, with levels nitrogen irrigation treatments assess sensitivity towards...
Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) soil moisture product was used to assess early season drought condition over Maharashtra State of India in summer monsoon (kharif). AMSR-E Soil Moisture Index (AMSR-E SMI) calculated using and textural information. The index had normalization matrix could be composited a time scale. statistically significant correlation (R 2 value 0.6 0.7) with rainfall during kharif (June August). Spatio-temporal dynamics SMI its inter...
The use of multispectral satellite sensors for generation hyperspectral indices is restricted because their coarse spectral resolutions. In this study, we attempted to synthesize a few these indices, viz. RedEdge Normalized Difference Vegetation Index (NDVI705), Plant Senescence Reflectance (PSRI) and Normalized-Difference-Infrared-Index (NDII), crop stress monitoring at regional scale using images, simulated from Hyperion data. data were resampled corresponding spatial resolutions AWiFS,...
Antarctica provides an opportunity to study natural forcing and background values of various constituents in the atmosphere, particular, aerosols. In a recent effort during 36th Indian Scientific Expedition (36th ISEA), Dual Imager System was installed at station Bharati (69.4°S, 76.18°E) round-the-clock variations aerosol optical thickness (AOT). The data reveal weak diurnal pattern AOT variability vary from 0.07 0.10 daytime while they reach ~ 0.12 nighttime. (solar zenith angle < 70°)...
Atmospheric lightning is an outcome of extreme complex physical processes occurring in the atmosphere. Cloud-to-ground (CG) considered as a natural disaster. Understanding importance CG and implication phenomena, Global Climate Observing System (GCOS), world meteorological organization, its report year 2016, introduced Essential Variable (ECV). The present uses Lightning Detection Sensor Network (LDSN) established by National Remote Sensing Centre, Indian Space Research Organization over...
The lack of availability two shortwave-infrared (SWIR) bands in most the satellite sensors restricts utilization shortwave angle slope index (SASI). potential Resourcesat-2 Advanced Wide-Field Sensor (AWiFS) with a single SWIR band was explored to generate surface moisture information comparable SASI over Haryana, India. fractional values several vegetation indices, viz. normalized difference water (NDWI), and angle-based drought (ABDI) derived from moderate resolution imaging...
Cloud fraction (CF) is known as the dominant modulator of Earth's radiation budget, thus regarded Essential Climate Variable. CF retrieved using Indian geostationary satellites Kalpana-1 and National Satellite System (INSAT-3D) by calculating area covered clouds in a given pixel divided total pixel. The technique uses multi-channel thresholding for three channels Kalpana-1, that is, thermal, visible, water vapour, four INSAT-3D with mid-infrared channel addition to mentioned Kalpana-1. A...
Abstract. An attempt has been made in the current study to assess potential of polarimetric SAR data for inventory kharif rice and major competing crop like cotton. In process, physical process scattering mechanisms occurring cotton crops at different phonological stages was studied through use temporal Radarsat 2 Fine quadpol data. The dynamics volume, double odd bounce, entropy, anisotropy, alpha parameters polarimertic signatures, classification isodata clustering Wishart techniques were...