Research Projects

Ecosystem-related observations from remote sensing data offer huge potential for understanding the location and extent of global land cover change. Hence, quantification of land cover change and its impact on ecosystem need to studied scientifically that influence by local climate, radiation balance, biogeochemistry, hydrology and the diversity and abundance of terrestrial species. To develop prediction model as framework for land cover change and future trends based on parameters using time series satellite data. To develop robust algorithms for change detection using data mining that is effective and can scale up to handle the large size of time series satellite data. To develop algorithm for spatio-temporal event identification and characterization of land cover changes.