多因子地表温度降尺度研究  

Land Surface Temperature Downscaling Based on Multiple Factors

作　　者：刘英[1] 朱蓉 钱嘉鑫 党超亚 岳辉[1] LIU Ying;ZHU Rong;QIAN Jiaxin;DANG Chaoya;YUE Hui(College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,China)

机构地区：[1]西安科技大学测绘科学与技术学院,西安710054

出　　处：《遥感信息》2020年第6期6-18,共13页Remote Sensing Information

基　　金：西安科技大学博士后启动金项目(2019QDJ024);西安科技大学优秀青年基金项目(2019YQ3-04)。

摘　　要：针对卫星遥感获取地表温度无法同时满足高时间和高空间分辨率要求的问题,基于传统的DisTrad温度降尺度法,融合归一化植被指数、建筑物指数、归一化水体指数及地表温度,建立一种新的多元线性函数关系(G_DisTrad),获取高时间分辨率对应的高空间分辨率的温度数据。该方法克服了DisTrad方法仅反映地表类型单一的植被区域的缺陷,充分考虑了植被、水体、建筑物与裸地等复杂区域的地表覆盖。文章进一步以天津、哈尔滨、南京、郑州、重庆、西安共6个城市局部区域为实验对象,将G_DisTrad方法与传统的DisTrad方法和TsHARP方法进行对比,分析G_DisTrad方法的精度和适用性。在天津地区将各降尺度方法的结果与实测数据进行对比得到,G_DisTrad方法、DisTrad方法和TsHARP方法的决定系数R 2分别为0.6970、0.6780和0.6791。间接验证结果表明,6个研究区域的降尺度结果中G_DisTrad方法的降尺度精度最高,其中,在天津地区,G_DisTrad温度降尺度方法的R 2值最高,达到0.9069;在南京地区,G_DisTrad温度降尺度方法的RMSE值最低,为1.1565 K。经在多个城市的局部区域细节验证表明,G_DisTrad方法在不同城市的适用性更好,精度更高;G_DisTrad方法的降尺度结果在植被、水体、建筑物与裸地区域,能够较好地保持原始地表温度影像的空间分布格局。Given the problem that the land surface temperature obtained by satellite remote sensing cannot meet the requirements of high time and high spatial resolution at the same time,this paper builds a new multiple linear functional relationship(G_DisTrad)by combining the normalized difference vegetation index,normalized difference built-up and soil index,as well as modified normalized difference water index with LST on the basis of traditional DisTrad temperature downscaling method in order to obtain high spatial resolution temperature data corresponding to high time resolution.This method,overcoming the defect that Distrad only reflects the vegetation area with single surface type,fully considers the surface coverage of complex areas such as vegetation,water,buildings and bare land areas.Additionally,this paper takes six cities which are Tianjin,Harbin,Nanjing,Zhengzhou,Chongqing,and Xi’an as experimental objects,makes a comparison between G_DisTrad method and traditional DisTrad method and TsHARP method,and analyzes the accuracy and applicability of G_DisTrad.The direct verification results show that the determination coefficients R 2 of G_DisTrad,DisTrad and TsHARP are 0.6970,0.6780,and 0.6791 respectively,by comparing the results of each downscaling method with the measured data in Tianjin area.The indirect verification results show that the downscaling accuracy of G_Distrad method is the highest among the downscaling results of six research areas.In Tianjin,the G_DisTrad temperature downscaling method has the highest R 2 value,reaching 0.9069;in Nanjing area,the G_DisTrad temperature downscaling method has the lowest RMSE value,which is 1.1565 K.After verifying some areas in multiple cities,it can be found that G_DisTrad has high applicability and precision in different cities because the downscaling results of the G_DisTrad method in vegetation,water,buildings and bare land areas can maintain the spatial distribution pattern of the original land surface temperature image better.

关 键 词：地表温度 降尺度 DisTrad TsHARP G_DisTrad 

分 类 号：P407[天文地球—大气科学及气象学]