HJ-1B 卫星遥感数据在重庆市城市热环境监测的应用分析
摘要
In this paper, HJ-1B/IRS4 data was used to retrieve land surface temperature (LST) based on mono- window algorithm after the required atmospheric transmittance had been inversed from MODIS data and the required land surface emissivity had been computed through land use classification from HJ-1B/CCD data. Next, the thermal fiueld variation index and the urban heat island of Chongqing were obtained from LST, and the spatial distribution feature of urban heat island was analyzed. Last, the impact of NDVI and NDBI on heat island was analyzed in Chongqing, China. The conclusions are as follows: (1) The urban heat islands are mainly distributed in the regions from southwestern Chongqing to northeastern Chongqing between Zhongliang Mountain and Tongluo Mountain; (2) The centers of urban heat island are not located in the city center, but located in the regions with high energy consumption and high population density, such as Dudukou industrial park and the Jiangbei airport, where the range of heat island intensity is between from 5℃ to 10℃; (3) The heat island effect is not clear in densely built area close to the Yangtze River and Jialing River; (4) NDVI and heat island intensity are negatively correlated, NDBI and heat island intensity are obviously positive correlated, both NDVI and NDBI have a significant impact on heat island intensity, and NDBI has a greater impact. So, heat island monitoring based on HJ-1B data can better reveal the spatial distribution of urban heat islands of Chongqing, and provide a reference for urban environment monitoring and bettering.