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热红外遥感浙江地表热环境分布研究
引用本文:吴文渊,金城,庞毓雯,赵丽佳,宋瑜,胡潭高,张登荣,徐俊锋.热红外遥感浙江地表热环境分布研究[J].遥感学报,2019,23(4):796-808.
作者姓名:吴文渊  金城  庞毓雯  赵丽佳  宋瑜  胡潭高  张登荣  徐俊锋
作者单位:杭州师范大学理学院, 杭州 310036;杭州师范大学 浙江省城市湿地与区域变化研究重点实验室, 杭州 311121,杭州师范大学理学院, 杭州 310036,杭州师范大学理学院, 杭州 310036,杭州师范大学理学院, 杭州 310036,杭州师范大学理学院, 杭州 310036;杭州师范大学 浙江省城市湿地与区域变化研究重点实验室, 杭州 311121,杭州师范大学理学院, 杭州 310036;杭州师范大学 浙江省城市湿地与区域变化研究重点实验室, 杭州 311121,杭州师范大学理学院, 杭州 310036;杭州师范大学 浙江省城市湿地与区域变化研究重点实验室, 杭州 311121,杭州师范大学理学院, 杭州 310036;杭州师范大学 浙江省城市湿地与区域变化研究重点实验室, 杭州 311121
基金项目:国家自然科学基金(编号:41402304);浙江省自然科学基金(编号:LQ13D020002)
摘    要:全球气候变暖与人类戚戚相关,研究发现不仅是城市的热岛效应引起了局部区域的地表热环境分布差异,很多地质构造、岩性、土壤、植被等地质及自然地理因素也有影响。本研究选取浙江省作为研究区,利用Landsat 8 OLI/TIRS遥感影像反演地表温度,分析冬季地表热环境分布及其影响因子。结果表明,断裂带附近地表热环境受到断裂带分布影响;岩石和土壤通过不同的地表覆被类型影响地表温度。地表热环境分布与断裂带等自然因素存在一定相关性。

关 键 词:热红外遥感  地表热环境  断裂带
收稿时间:2017/8/19 0:00:00

Distribution characteristics of surface thermal environment in Zhejiang province based on thermal infrared remote sensing
WU Wenyuan,JIN Cheng,PANG Yuwen,ZHAO Liji,SONG Yu,Hu Tangao,ZHANG Dengrong and XU Junfeng.Distribution characteristics of surface thermal environment in Zhejiang province based on thermal infrared remote sensing[J].Journal of Remote Sensing,2019,23(4):796-808.
Authors:WU Wenyuan  JIN Cheng  PANG Yuwen  ZHAO Liji  SONG Yu  Hu Tangao  ZHANG Dengrong and XU Junfeng
Institution:School of Science, Hangzhou Normal University, Hangzhou 310036, China;Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change Institute of Remote Sensing and Earth Sciences Hangzhou Normal University, Hangzhou 311121, China,School of Science, Hangzhou Normal University, Hangzhou 310036, China,School of Science, Hangzhou Normal University, Hangzhou 310036, China,School of Science, Hangzhou Normal University, Hangzhou 310036, China,School of Science, Hangzhou Normal University, Hangzhou 310036, China;Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change Institute of Remote Sensing and Earth Sciences Hangzhou Normal University, Hangzhou 311121, China,School of Science, Hangzhou Normal University, Hangzhou 310036, China;Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change Institute of Remote Sensing and Earth Sciences Hangzhou Normal University, Hangzhou 311121, China,School of Science, Hangzhou Normal University, Hangzhou 310036, China;Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change Institute of Remote Sensing and Earth Sciences Hangzhou Normal University, Hangzhou 311121, China and School of Science, Hangzhou Normal University, Hangzhou 310036, China;Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change Institute of Remote Sensing and Earth Sciences Hangzhou Normal University, Hangzhou 311121, China
Abstract:Land surface thermal environment is an important factor in the surface ecological environment and is related to human survival and society development. Similar to the heat island effect in urban areas, some high temperatures are detected beside active faults in the region of natural surface and are affected by the lithology, soil, and vegetation. Therefore, these geological and geographical factors impact the land surface thermal environment. In our research, we investigated the distribution characteristics of surface thermal environment in Zhejiang Province on the basis of land surface temperature through thermal infrared remote sensing of Landsat 8 OLI/TIRS images. We analyzed the effects of fault activity, lithology, soil, and vegetation on the land surface thermal environment by using multiple linear regression analysis. Results showed that the active faults could cause thermal anomalies within a certain distance, the rocks and soils could affect land surface temperature depending on their cover types, and the vegetation coverage could reduce the effect of high temperature in the surface thermal environment. In conclusion, the proposed method is effective for tectonic activity monitoring and can serve as a scientific basis of research on ecological environment.
Keywords:inferred remote sensing  surface thermal environment  fault zones
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