Integrated approach (including remote sensing inputs) for multi-crop assessment in sparse cropped regions
Multi-crop assessment is important for holistic development of agricultural recourses and farmers livelihood. In sparse cropped area there is always a possibility to misclassify the crop using satellite imageries. This can only be improved by using extensive ground based observations, development of crop specific spectral signature, multitemporal hyperspectral images and cutting edge image processing techniques for crop classifications.
The remote sensing techniques of crop assessment in hilly terrains/ high altitudes
Assessment of crop over the hilly is always very tricky as the satellite images are affected by layover and fore shorting (in case of SAR) and hill shadow effect (in case of optical data). Further the agricultural land holdings are small in size and intermixed with forest/other vegetation. The main challenges would be image correction for the above mentioned effect, ortho-rectification and image processing algorithms for improved crop mapping and condition assessment
RS based indices/techniques for agro-ecosystems characterization / evaluation
Agro-ecosystem characterization involves assessment of cropping system, crop calendar, crop phenology, agro-meteorological parameterization and soil & land. The aim of the proposal should focus on the carbon sequestration, soil conservation, water use and long terms changes/degradation. The proposal should also focus on the suitability of the agro-ecosystem in terms of the prevail soil, land, weather resources.
