Modelling soil carbon sequestration in relation to cropping systems and climate change
Soil carbon is one of the driving parameter for soil productivity and sustainability. Assessment of Soil carbon helps in understanding the carbon sequestration and its dynamics and its simulation in climate change scenarios. The proposal should incorporate the calibration and validation of biogeochemical models like RothC, DNDC, Century etc and simulating carbon sequestrations in different climatic and land-use scenerios.
Development of farming systems models with RS inputs/products
RS derived inputs strengthen any Decision support system for agricultural applications. There is need to devise a farming system model where RS derived inputs can be fed to provide decision support to the farmer communities. The proposal may also explore any such existing models and can suggest necessary changes in terms of input or its structure.
Applications of RS/GIS in horticulture studies
Horticultural crops are unique in nature due to its canopy structure and prevailing plant spacing. These are also grown in an orchards environment which are generally having a typical geometric shape. Using these criteria object based image analysis techniques can be proposed for rapid mapping of the horticultural crops. The proposal also should focus of the orchard age, its condition and yield modeling.
Geostationary data utilization in crop assessment
Geostationary data provides frequent observations hand helpful during cloudy season. Geostationary imager data can be utilized for generation of temporal crop growth profile, start of the season and regional crop condition assessment. The focus should be given in large area assessment of crop generic condition assessment, drought monitoring etc.