An extensive remotely sensed dataset will be developed to examine multitemporal imagery for mapping and monitoring changes in the biophysical characteristics of land cover change. Our goal is to investigate the regional response of the soil-vegetation system to climate change. We will address this problem by quantifying changes in parameters such as Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) from low resolution (~1 km) satellite data and by analyzing the spatial-temporal dynamics of these parameters. Areas suggesting significant change (hotspots) will be analysed in greater detail using moderate resolution (~30 m) Landsat imagery in 1990, 2000 and 2004. The Alashan area and the Beijing areas have been selected for the study because of their high environmental diversity.
Cross Cutting Themes:
Hazards and Risk