Ingestion of RS inputs/products in climate change analysis/modelling of agroecosystems
It involves long term satellite and climate data analysis, indentify the trend and break points of the multi-temporal data. The proposal should involve crop growth simulation model, cropping system model, nutrient transport model. The model should be calibrated in the present condition and simulated under climate change scenarios. Emphasis should provide to use different RS based inputs into the models.
Parameter retrieval techniques with hyperspectral data
It involves analysis of hyperspectral data and development of narrow band indices sensitive to crop vigour and condition. Retrieval of crop bio-physical parameters like LAI, Biomass, chlorophyll content, surface wetness etc using empirical, semi-empirical or radiative transfer models.
Algorithm development for agro-ecosystems product generation from geostationary platform
Geostationary platforms provides the frequent observations of the land features and is very useful for kharif season monitoring to get rid of frequent cloud cover. The proposal should focus on use of geostationary platform especially INSAT series for generation of weather variables like Total incoming solar radiation, Net Radiation, Land surface temperature, NDVI etc which can be used in diffrent energy balance equations for retrieval of latent heat fluxes, LAI etc.