干旱区生态环境知识资源中心(Arid): Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China

Arid

DOI	10.3390/rs12071121
	Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China
	Cui, Yaokui 1; Ma, Shihao 2; Yao, Zhaoyuan 1; Chen, Xi1 ; Luo, Zengliang 1; Fan, Wenjie 1; Hong, Yang 1,3
通讯作者	Cui, Yaokui
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:7
英文摘要	Temporally continuous daily actual evapotranspiration (ET) data play a critical role in water resource management in arid areas. As a typical remotely sensed land surface temperature (LST)-based ET model, the surface temperature-vegetation index (Ts-VI) triangle model provides direct monitoring of ET, but these estimates are temporally discontinuous due to cloud contamination. In this work, we present a gap-filling algorithm (TSVI_DNN) using a deep neural network (DNN) with the Ts-VI triangle model to obtain temporally continuous daily actual ET at regional scale. The TSVI_DNN model is evaluated against in situ measurements in an arid area of China during 2009-2011 and shows good agreement with eddy covariance (EC) observations. The temporal coverage was improved from 16.1% with the original Ts-VI tringle model to 67.1% with the TSVI_DNN model. The correlation coefficient (R), root mean square error (RMSE), bias, and mean absolute difference (MAD) are 0.9, 0.86 mm d(-1), -0.16 mm d(-1), and 0.65 mm d(-1), respectively. When compared with the National Aeronautics and Space Administration (NASA) official MOD16 version 6 ET product, estimates of ET using TSVI_DNN are improved by approximately 49.2%. The method presented here can potentially contribute to enhanced water resource management in arid areas, especially under climate change.
英文关键词	evapotranspiration remote sensing LST Ts-VI triangle model DNN arid area
类型	Article
语种	英语
国家	Peoples R China ; USA
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000537709600071
WOS关键词	RIVER-BASIN ; EVAPO-TRANSPIRATION ; SURFACE ; MODIS ; SOIL ; REGION ; EVAPORATION ; TEMPERATURE ; VEGETATION ; MICROWAVE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	北京大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/318949
作者单位	1.Peking Univ, Inst RS & GIS, Sch Earth & Space Sci, Beijing 100871, Peoples R China; 2.Johns Hopkins Univ, Carey Business Sch, Washington, DC 20036 USA; 3.Univ Oklahoma, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
推荐引用方式 GB/T 7714	Cui, Yaokui,Ma, Shihao,Yao, Zhaoyuan,et al. Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China[J]. 北京大学,2020,12(7).
APA	Cui, Yaokui.,Ma, Shihao.,Yao, Zhaoyuan.,Chen, Xi.,Luo, Zengliang.,...&Hong, Yang.(2020).Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China.REMOTE SENSING,12(7).
MLA	Cui, Yaokui,et al."Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China".REMOTE SENSING 12.7(2020).