Respond Projects

Research Areas

Advanced sensor models for optical & microwave data Geo-referencing

Georeferencing is the process of assigning spatial location to each pixel of an image using sensor models or GCPs. Precise georeferencing is a major issue especially in high resolution optical and microwave imagery. Presently, rigorous sensor models and rational function models are widely in used in optical imagery geo referencing. For microwave sensors the range Doppler method is generally employed for assigning precise geo location. This method corrects the imagery for foreshortening and layover effects by utilizing the topology, orbit and velocity measurements from satellite and assigns a geolocation to each pixel. We welcome proposals that defines new methods/models and implementation of any of the above algorithms both for optical and microwave imagery.

Atmospheric correction procedures implementation for Visible & NIR & HySI

Atmospheric correction is key image processing step to retrieve surface reflectance values from spectra recorded by remote sensing space borne sensors. This further helps in standardizing physical variables, thus facilitating comparisons across time series of such variables. Presently, Atmospheric correction of all bands of Resourcesat-2 AWIFS and LISS III sensors is being carried out utilizing water vapor, ozone data products from MODIS, Aerosol optical depth from INSAT satellites using 6S RTF algorithm. The atmospheric correction has improved our estimation of normalized difference vegetation index by a factor of 50% with respect to TOA. There are possibilities of improving these estimations further by modeling the Bidirectorial reflectance distribution functions, using reflectance references from Drones or physics based models. We invite proposals in any of these areas that aim to minimize the influence of atmospheric effects in estimation of physical variables.