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Remote Sens. 2017, 9(2), 152;

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

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
Department of Geography and Planning, Queen’s University, Kingston, ON K7L 3N6, Canada
Key Laboratory of Agric-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China
Authors to whom correspondence should be addressed.
Academic Editors: Guijun Yang, Zhenhong Li, Richard Müller and Prasad S. Thenkabail
Received: 13 December 2016 / Revised: 6 February 2017 / Accepted: 9 February 2017 / Published: 13 February 2017
(This article belongs to the Special Issue Earth Observations for Precision Farming in China (EO4PFiC))
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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 R2 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. View Full-Text
Keywords: time series analysis; thermal infrared imagery; AATSR; Heihe River Basin (HRB) time series analysis; thermal infrared imagery; AATSR; Heihe River Basin (HRB)

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Ouyang, X.; Chen, D.; Duan, S.-B.; Lei, Y.; Dou, Y.; Hu, G. Validation and Analysis of Long-Term AATSR Land Surface Temperature Product in the Heihe River Basin, China. Remote Sens. 2017, 9, 152.

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