Concepts of multidate/multisensor fusion of different scales and resolutions and uncertainty analysis in relation to agro-ecosystems
Multisensor data fusion techniques helps in enhancing the spectral/spatial informations present in the satellite image. Different fusions techniques need to be explored and comparision is needed for applying in different agriculture monitoring projects. The pros and cons of the merging procedures need to be evaluated. The proposal should also cover the utilization of texture informations present in the fused image for characterizing agro-ecosystem.
Newer tools and techniques development for quick assessment of temporal dynamics of crops/vegetations using Indian multi temporal satellite data
Temporal optical/radar data provides informations on crop phenologies like start of the season, peak greenness, rate of scenescence, date of harvesing etc. The proposal is needed for development of indicators derived from the temporal phenological curves for assessing crop growth stages. The project should involve the analysis of multi-temporal NDVI/EVI data, its smoothening, gap filling and extraction of phenometric using different tools/softwares.
Development of mathematical/matching algorithm in spectral library development using hyperspectral data
This includes development of the hyperspectral library of soil/crops with its physical and chemical properties. These libraries will be helpful in retrieving soil/crop properties of unknown spectra. There is need to develop different curve fitting and wavelet matching techniques for comparing the spectra with the spectral libraries. The proposal may focus on using leaf or canopy radiative transfer model for retrieving properties from the reflectance spectra.
