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本文以MODIS反演大气透射率,以HJ-1B/CCD分类结果反演地表比辐射率,并基于单窗算法,利用HJ-1B/IRS4数据反演地表温度.在此基础上,提取研究区的热场变异指数来分析重庆热岛空间分布特征,并就NDVI与NDBI对热岛效应的影响进行了分析.其结果如下:1)重庆城市热岛大致位于中梁山、铜锣山之间,呈东北、西南走向分布;2)热岛中心不在市中心,而是集中在大渡口工业园区、江北机场这些能耗大、人口密集区域,热岛强度范围在5?C-10?C之间;3)接近长江、嘉陵江水域的建筑用地密集区域,其热岛效应并不明显;4)NDVI与热岛强度呈负相关关系,NDBI与热岛强度呈现较为明显的正相关关系,二者对热岛都有重要影响,而NDBI的影响更大.因此,利用HJ-1B数据监测城市热环境,能较好地揭示重庆城市热岛空间分布特征,为城市环境监测与改善提供参考.
In this paper, the atmospheric transmissivity is retrieved by MODIS, the surface emissivity is retrieved by HJ-1B / CCD classification results, and the surface temperature is retrieved by using HJ-1B / IRS4 data based on single-window algorithm.On this basis, The thermal field variation index is used to analyze the spatial distribution characteristics of Chongqing heat island and the effects of NDVI and NDBI on the heat island effect are analyzed.The results are as follows: 1) The urban heat island in Chongqing is located roughly between Zhongliangshan and Tongluo Mountains, Southwest direction; 2) The heat island center is not in the center of the city, but is concentrated in Dadukou Industrial Park and Jiangbei Airport. These energy intensive and densely populated areas have a heat island intensity range of 5? C-10? C; 3) The heat island effect is not obvious; 4) NDVI has a negative correlation with the intensity of the heat island, NDBI shows a significant positive correlation with the intensity of the heat island, both of which have a significant impact on the heat island, while NDBI Therefore, the use of HJ-1B data to monitor the urban thermal environment can better reveal the spatial distribution of urban heat island in Chongqing and provide reference for urban environmental monitoring and improvement.