Respond Basket - 2024


'Respond BASKET - 2024' PDF (7.89 MB) comprises a set of most urgent and immediate research areas for the academia to select and prepare detailed proposals under RESPOND programme

  1. RESPOND BASKET comprises of the most urgent and important research problems identified by ISRO/DOS Centre / Units on the basis of ISRO’s upcoming programmatic R&D requirements. Each research problem comprises of a brief write-up about the topic for the faculty of the academic Institutions/R&D laboratories other than the Space Technology Cells (STCs) and Regional Academic Centre for Space (RAC-S) to select and prepare the proposals.
  2. An individual or group(s) of scientists / faculty members affiliated to any academic institution/autonomous R&D institutions are eligible for submitting the proposals. The Principal Investigator(s) should be a full-time employee(s) of the concerned institution
  3. Principal Investigator shall be a domain expert in the area to which the proposal belongs to and must be a full time employee/faculty of the institution forwarding the application. There may also be co-investigator(s) from the same/different institution(s) working on the project. But satisfactory completion of a project will be the responsibility of the Principal Investigator and the institution involved.
  4. Proposals shall be submitted online.
  5. The submitted proposal will be subjected to critical evaluation by the ISRO/DOS Centre experts. The proposal will be evaluated on the basis of novelty, methodology, approach, experience of the PI in the subject area, duration of the project, budget etc

List of research topics - Respond Basket – 2024


S.No. Description
RES-NRSC-2024-001 EO data and ground spectroscopy for identifying surface controls and geobotanical indicators of heavy metal contamination in coastal and deltaic environment
RES-NRSC-2024-002 Impact of the Indian Summer Monsoon by Atmospheric Constituents.
RES-NRSC-2024-003 Integration of polar and geostationary EO datasets for a synthesized hourly LST product
RES-NRSC-2024-004 Advanced Remote Sensing and Geochemical techniques to Monitor and Characterize Mine Residues
RES-NRSC-2024-005 Enhanced Neural Network for classification of Hyperspectral Imagery using ensembled models
RES-NRSC-2024-006 3D subsurface modelling of structurally controlled geological provinces for critical mineral resource assessment
RES-NRSC-2024-007 Advanced Computer Vision + LLM based solutions for Remote Sensing Data Insights