Respond Basket - 2022 Sno Description RES-NRSC-2022-001 Comprehensive Agricultural Drought Assessment RES-NRSC-2022-002 Development of Fluorescence Line Height (FLH) based algorithm for chlorophyll and phytoplankton blooms detection RES-NRSC-2022-003 Ocean Surface currents variability in the Bay of Bengal using satellite, In-situ and Numerical models RES-NRSC-2022-004 Modelling Gross Primary Production and Evapotranspiration for Drought Monitoring over India RES-NRSC-2022-005 Development of Low cost Remotely operated platform for Bathymetry & water resource applications RES-NRSC-2022-006 Big Geospatial data analysis for Climate Change with special emphasis on land use / land coverdynamics in Western Rajasthan RES-NRSC-2022-007 Village Level Web Enabled Data Analytics Tools for Geospatial Database of rural assets using open source tools RES-NRSC-2022-008 Development of techniques for correction of artefacts in Remote Sensing Images RES-NRSC-2022-009 Urban object Detection using UAV Remote Sensing RES-NRSC-2022-010 Bundle Block adjustment of Large scale Indian Remote Sensing Data for large area ortho product generation using combination of AI/ML/DL technologies along with mathematical models RES-NRSC-2022-011 Development of deep learning framework for auto quality certification of all IRS optical Satellite Images RES-NRSC-2022-012 Web GIS and Data Dissemination for geoportal applications and services RES-NRSC-2022-013 Crowd sourcing for landslide inventory using IoT RES-NRSC-2022-014 Physics Aware AI Models for Target Detection in SAR Imagery RES-NRSC-2022-015 Predictive yield modeling under climate change scenarios RES-NRSC-2022-016 Automated seasonal crop mapping using machine learning approach Go Back about Investment Performance