LAUSR

ABSTRACT Organization and management of huge satellite data products (remote sensing imagery) is a huge task. Traditional methods of managing the remote sensing satellite data products like file-based structure is the simplest and cheapest way of organizing data. The major disadvantage of file-based organization is data inconsistency and difficulty in handling unanticipated queries. Other approaches like use of proprietary relational database management system software’s are costly and demand specific skills. To reduce the cost and ease for managing the satellite products, this study has been attempted. Available open-source libraries (Geospatial Data Abstraction Library (GDAL), Openlayers) have been customized to give an end to end solution for remote sensing satellite data management. Different software modules have been developed for metadata generation, organization of satellite data as service, cataloguing, clipping and retrieval of data for area of interest (AOI) on demand. A case study of disaster management has been attempted to show case the efficiency of the software modules developed using open-source libraries.