Remote Sensing Products
Remote sensing information is extremely useful for monitoring drought over large areas as it can offer detailed and frequent observations Several satellite-derived vegetation indices, such as the Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), and Temperature Condition Index (TCI), have been developed to monitor drought from local to global scales. These indices help assess drought-related vegetation stress and are often validated against ground observations.
Proposed satellite based Agromet Products
- In-season monitoring of crop area
- LST PRODUCT
- Daily Surface Insolation product
- Surface Soil Wetness Index (SWI)
- Evapotranspiration using surface energy balance
- Monthly estimates of PET from VHRR insolation and WRF forecast
- Delineation of alarm zones to alert farmers
- Development of methodology for forecasting spatial crop age / phenology
- Development and validation of Crop Water Requirement Satisfaction Index (WRSI)
- Development of SPI from satellite rainfall
- Development of operational demand-based irrigation scheduling
- Development of Digital agro-climatic atlas for improved crop planning
- Development of methodology for tracking major pests and diseases
Remote sensing information is extremely useful for monitoring drought over large areas as it can offer detailed and frequent observations Several satellite-derived vegetation indices, such as the Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), and Temperature Condition Index (TCI), have been developed to monitor drought from local to global scales. These indices help assess drought-related vegetation stress and are often validated against ground observations.
Satellite data is increasingly utilized for weather monitoring, leading to more frequent use of microwave and radar technology to gauge soil moisture and rainfall. This improved approach provides crucially accurate information for effective drought monitoring.
Advances in satellite technology have enabled the estimation of key drought-related variables, including:
- Land Surface Temperature (LST)
- Evapotranspiration (ET)
- Soil Moisture
- Precipitation
Area of RS Applications in AgroMet
- Soil (Moisture, temp., Nutrient, Erosion)
- Crop (Coverage, vigor, yield assessment)
- Crop sowing/Harvesting Time
- Forest Status Monitoring & Forest Fire
- Bio-diversity Assessment
- Mapping Of Ag. & Land Resources
- Biotic & Abiotic Stresses On Crops
- Pest Disease Surveillance
AAS ( Agromet Advisory Services) Application areas
- Ground Truth on Soil, Crop, P&D, Stress (Moisture/Thermal/Nutrient/Biotic) while Translating Wx F/C into AgroAdvisory (Pre-sowing to Post Harvest)
- Decision on intercultural operations (Water, nutrient, pest-disease management)
- Quantifying Agricultural Risks – insurance
- Quantifying Agricultural Risks – insurance
- Quantifying Agricultural Risks – insurance
- Quantifying Agricultural Risks – insurance
- Agro-climatic zoning
- Soil erosion zoning, its revision for better future planning
- Agro-Hydrological Options
Satellite based indices
(Data source: https://www.star.nesdis.noaa.gov)
