The study and analysis of land surface temperature anomalies based on thermal remote sensing at Tengchong Yunnan

Yunnan is one of provinces rich of geothermal resources in China. In this paper, land surface temperature (LST) at Tengchong area in Yunnan is achieved by single-channel algorithm with the data supplied by the Enhanced Thematic Mapper plus (ETM+) sensor onboard the Landsat 7 satellite. The radiance calibration and atmosphere calibration are taken to ETM+ image and then NDVI is used to estimate vegetation proportion, which in turn is used to estimate emissivity. After that the generalized single-channel algorithm is used to calculate LST and A-D four temperature anomalous areas are determined in the geothermal distribution map. At last the causes of the temperature anomalies are discussed. We come to the conclusion that the distribution of geothermal anomalies is controlled by the faults in the study area. It is the intrusion of mantle-derived magma that finally caused the land surface temperature anomalies. The results also indicate that the thermal remote sensing is an effective way to monitor the land surface temperature and will provide a practical reference for the geothermal resources exploration in the future. Copyright © (2009) by the Asian Association on Remote Sensing.