A WEB-BASED VISUALIZATION PLATFORM FOR GLOBAL LAND COVER CHANGE
Remote sensing data can play a key role is in the study of land cover change. Specifically, the conversion of natural land cover into human-dominated cover types continues to be a change of global proportions with many unknown environmental consequences. Additionally, being able to assess the carbon risk of changes in forest cover is of critical importance for both economic and scientific reasons. In this presentation, we will describe a web-based platform that we are currently developing. The platform is capable of displaying disturbances on a global mapping platform. The disturbances are detected by running data mining algorithms on 10 year MODIS time series data. Users are also be able to examine additional data associated with a disturbance; this includes climate variables such as temperature, precipitation, etc. The primary components are the viewer front-end, the database of events and associated variables, and the mapping platform. The platform is based on a Flash front-end with mysql as the database back-end and Google Maps as the mapping platform.
Shyam Boriah - University of Minnesota
Marc Dunham - University of Minnesota
Pang-Ning Tan - Michigan State University
Vipin Kumar - University of Minnesota