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机构地区:[1]南京农业大学资源与环境科学学院,江苏南京210095
出 处:《遥感技术与应用》2015年第4期653-660,共8页Remote Sensing Technology and Application
基 金:国家自然科学基金项目(41171071);江苏高校优势学科建设工程项目(PAPD);教育部留学回国人员科研启动基金资助项目
摘 要:地表温度(LST)是全球变化的过程参数,应用HJ-1B/IRS热红外数据,采用辐射传输法(RTE)、覃志豪单窗算法(Qins’)和普适性单通道算法(JM&S)对南京市地表温度进行反演。结果表明:3种算法均能较好地反映南京地区的地表温度趋势。RTE反演精度最高,与MODIS地温产品的差值多集中在2.1K左右;Qins’的反演结果略低,温差多集中在3.87K左右;而JM&S的结果明显偏低,温差多集中在5.96K左右。结合土地利用类型图对地表温度进行分析,RTE温度结果中,温度最高的建设用地与温度最低的水体的温度相差4.1K;Qins’温度结果中建设用地与水体的温度相差4.38K;JM&S温度结果中建设用地与水体的温度相差2.15K。RTE和Qins’更能体现不同土地利用类型之间的温度差异及对城市热岛的贡献。Land Surface Temperature(LST)is a key process parameter of global change,and its importance is being increasingly recognized.With the increase of remote sensing data sources,HJ-1Bsatellite data has short return cycle and large sensing width is used for land surface temperature retrieval.This paper is based on the HJ-1B/IRS thermal infrared data,using the methods of Radioactive Transfer Equation(RTE),Qin Zhi-hao mono-window algorithm(Qins')and generalized single-channel algorithm(JMS)to retrieve LST in Nanjing,analyzed the results of the three algorithms and use the same phase MODIS land surface temperature product to analyze temperature retrieval results.The results show that three algorithms have consistency.Compared with the MODIS temperature products,the LST has the closest retrieval results with it and lower than 2.1Kwhen RTE is used;Qins' retrieval result was only slightly lower 3.87K;and retrieval result of JMS significantly lower than 5.96 Kfor the MODIS temperature products.Combined with the land use type map to analyze the spatial distribution characteristics of the surface temperature of Nanjing,it can be seen that the difference between highest temperature of construction land and the lowest temperature of water is 4.1Kwhen RTE is used;the difference between construction land and water is 4.38 Kwhen Qins' is used;the difference between the highest temperature of construction land and the lowest temperature of water is 2.15 Kwhen JMS is used.The temperature results of the RTE and Qins'can reflect the temperature difference among the different land use types and its contribution to the urban heat island.
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