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

文献类型： 外文期刊

第一作者： Ouyang, Xiaoying

作者： Ouyang, Xiaoying;Lei, Yonghui;Hu, Guangcheng;Ouyang, Xiaoying;Chen, Dongmei;Duan, Si-Bo;Lei, Yonghui;Dou, Youjun

作者机构：

关键词： time series analysis;thermal infrared imagery;AATSR;Heihe River Basin (HRB)

期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）

ISSN： 2072-4292

年卷期： 2017 年 9 卷 2 期

页码：

收录情况： SCI

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.

分类号：

  • 相关文献

[1]Time-series modeling and prediction of global monthly absolute temperature for environmental decision making. Ye Liming,Yang Guixia,Ye Liming,Van Ranst, Eric,Tang Huajun. 2013

[2]Short-Term Price Forecasting For Agro-products Using Artificial Neural Networks. Li, Gan-qiong,Xu, Shi-wei,Li, Zhe-min. 2010

[3]Finding regulation among seemingly unregulated populations: a practical framework for analyzing multivariate population time series for their interactions. Zhou, Can,Fujiwara, Masami,Grant, William E.,Zhou, Can.

作者其他论文 更多>>

微信小程序