Monitoring the land surface temperature using MODIS data in Zhejiang of China

With the impact of global events as urbanization, industrialization and other human activities, also like climate change, the regional thermal environment has introduced a series of problem, e.g., Urban Heat Island effect and climate disasters. To address this issue, it is necessary to monitor the spatial and temporal patterns of regional thermal environment. Land Surface Temperature (LST) is an important indicator for environment monitoring. Zhejiang province is major part in Yangtze river delta region of China, which is the most rapidly urbanization in the world. In this report, based on the MODIS remote sensing data, Land Surface Temperature (LST) of Zhejiang province in China is retrieved by Split-Windows Algorithm successfully. The characteristics of Zhejiang Province regional thermal environment are quantitatively analyzed through spatial statistical analyses. The results show that the remote sensing data is effective and high accuracy for retrieving and estimates reasonably LST.