Multitemporal Remote Sensing for Monitoring Land Surface Changes
San Diego State University
TCS Building 240
Land surface and anthropogenic processes shape and modify land surface forms and cover types. Multitemporal remote sensing, the collection, processing and analysis of image data collected from airborne and satellite sensors, enables monitoring of land surface forms and cover types over time. Underlying processes may be inferred and better understood through such monitoring. Professor Stow will provide an overview of multitemporal remote sensing approaches along with application examples from almost 40 years of his and his colleagues' and students' research. Development of end-to-end monitoring systems, environmental monitoring and land cover and land use change analyses will be emphasized.