Validation and Analysis of Long-Term AATSR Land Surface Temperature Product in the Heihe River Basin, China

被引:22
作者
Ouyang, Xiaoying [1 ,2 ]
Chen, Dongmei [2 ]
Duan, Si-Bo [3 ]
Lei, Yonghui [1 ,4 ]
Dou, Youjun [5 ]
Hu, Guangcheng [1 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Queens Univ, Dept Geog & Planning, Kingston, ON K7L 3N6, Canada
[3] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agr Informat, Beijing 100081, Peoples R China
[4] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China
[5] China Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
time series analysis; thermal infrared imagery; AATSR; Heihe River Basin (HRB); SPLIT-WINDOW ALGORITHM; TRACK SCANNING RADIOMETER;
D O I
10.3390/rs9020152
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Advanced Along-Track Scanning Radiometer (AATSR) land surface temperature (LST) product has a long-term time series of data from 20 May 2002 to 8 April 2012 and is a crucial dataset for global change studies. Accuracy and uncertainty assessment of satellite derived LST is important for its use in studying land-surface-atmosphere interactions. However, the validation of AATSR-derived LST products is scarce in China, especially in arid and semi-arid areas. In this study, we evaluated the accuracy of the AATSR LST product using ground-based measurements from 2007 to 2011 in the Heihe River Basin (HRB), China. The AATSR-derived LST results over Yingke site are closer to ground measurements than those over A'rou site for both daytime and nighttime temperatures. For nighttime, the averaged bias, STD, RMSE and R-2 over both sites are 0.67 K, 3.03 K, 3.13 K and 0.93 K, respectively. Based on the accuracy assessment, we analyzed the AATSR-derived annual LST variations both in the HRB region and the two validation sites for the period of 2003 to 2011. The results at the A'rou site show an obvious increasing trend for daytime from 2003 to 2011. For the whole HRB region, the warming trend is clearly shown in the downstream of HRB.
引用
收藏
页数:18
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