Although there is now over 30 years of Landsat-class observations, the land science community still lacks the analysis infrastructure to meet the GCOS goal of routine, global land-cover change updates every five years. In response, this project will create the infrastructure for a distributed Land cover Change Community-based Processing and analysis System (LC-ComPS). Online tools will be developed to generate land cover change information from large volumes of Landsat-class satellite imagery, including modules for:|
-Calibration and atmospheric correction
-Compositing to reduce cloud contamination
-BRDF/phenology adjustment to reduce variability between images
-Robust change detection tools centered on forest cover change mapping
-Aggregation and resampling of output map products
These tools will be linked with Data Grid technologies, so that multiple satellite archives can be accessed for any given processing task. Software from this effort will be made available to other institutions so that the LC-ComPS ?Virtual Organization? can continue to expand.
[Summary provided by the University of Maryland.]