AGRICULTURE DROUGHT AND FOREST FIRE MONITORING IN CHONGQING CITY WITH MODIS AND METEOROLOGICAL OBSERVATIONS

摘要

In 2006, Chongqing suffered from agriculture drought that happens once a hundred years, and forest fire was caused at the same time. In order to provide accurate and timely data to Chongqing Government for their decision making, we took MODIS (Moderate Resolution Imaging Spectroradiometer) as remote sensing data resource, and meteorological observations as another important data. To simplify the problem and make the solution more practical, agriculture drought is expressed with soil moisture index (SI) which is generated from LST(land surface temperature) and NDVI. For LST retrieval, a fast statistical model based on meteorological observations is deduced. Forest fire monitoring is accomplished with a comprehensive threshold method, in which reflective bands, middle infrared bands and thermal infrared bands are used together.