Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data

doi:10.1029/2018JD029011

CORC > 地理科学与资源研究所 > 中国科学院地理科学与资源研究所 > 生态系统研究网络观测与模拟重点实验室 > CERN水分分中心

	Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data
	Yao, Yunjun 1; Liang, Shunlin 2; Cao, Bao 3; Liu, Shaomin 4; Yu, Guirui 5; Jia, Kun 1; Zhang, Xiaotong 1; Zhang, Yuhu 6; Chen, Jiquan 7; Fisher, Joshua B.8
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
	2018-10-27
卷号	123 期号:20 页码:11410-11430
ISSN号	2169-897X
DOI	10.1029/2018JD029011
通讯作者	Yao, Yunjun(boyyunjun@163.com)
英文摘要	The MODerate-resolution Imaging Spectroradiometer (MODIS) provides spatially contiguous measurements of terrestrial biophysical variables, which can be used to estimate the terrestrial latent heat flux (LE). MODIS-derived shortwave infrared reflectance (SWIR) metrics (SWIRs) are sensitive to the soil moisture and vegetation water stress. In this study, we used the MODIS-derived SWIRs with eddy covariance flux measurements obtained from 25 flux tower sites representing 10 different land cover types within China to evaluate the sensitivity of SWIRs to ground-measured evaporation fraction and LE. The water constraint metrics determined using the MODIS-derived SWIR generally corresponded better with the ground-measured evaporation fraction values than those obtained without using SWIR. The MODIS-derived SWIRs were used as proxies for the soil and vegetation water supply constraints in a revised Priestley-Taylor algorithm to estimate the terrestrial LE. The estimated LE using the MODIS-derived SWIRs generally corresponded well with the ground-measured LE (0.56 <= R-2 <= 0.97) for most of the flux tower sites. Regional algorithm sensitivity analysis using the MODIS-derived SWIRs as water supply proxies demonstrated that water limitations reduce LE by more than 53% over China, and the atmospheric vapor pressure deficit and relative humidity are not sufficient to characterize both the atmosphere demand and water supply for LE estimation. Our results demonstrate the potential of using MODIS-derived SWIRs to characterize soil and vegetation water supply factors for determining LE, where the relatively high spatial and temporal resolutions (500 m and daily) are closer to the scale of the eddy covariance ground measurements.
资助项目	Natural Science Fund of China[41671331] ; National Key Research and Development Program of China[2016YFA0600102] ; National Key Research and Development Program of China[2016YFB0501404] ; National Aeronautics and Space Administration ; NASA SUSMAP ; California Institute of Technology
WOS关键词	LIGHT USE EFFICIENCY ; GROSS PRIMARY PRODUCTION ; ENERGY-BALANCE CLOSURE ; LAND-SURFACE EVAPORATION ; SOUTHERN GREAT-PLAINS ; SOIL-MOISTURE ; EDDY-COVARIANCE ; IN-SITU ; VEGETATION INDEX ; TRAPEZOID MODEL
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000452000300009
资助机构	Natural Science Fund of China ; National Key Research and Development Program of China ; National Aeronautics and Space Administration ; NASA SUSMAP ; California Institute of Technology
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/51536]
专题	地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心
通讯作者	Yao, Yunjun
作者单位	1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing, Peoples R China 2.Univ Maryland, Dept Geol Sci, College Pk, MD 20742 USA 3.Chinese Res Inst Environm Sci, Beijing, Peoples R China 4.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 6.Capital Normal Univ, Coll Resource Environm & Tourism, Beijing, Peoples R China 7.Michigan State Univ, Ctr Global Changes & Earth Observat, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA 8.CALTECH, Jet Prop Lab, Pasadena, CA 91125 USA
推荐引用方式 GB/T 7714	Yao, Yunjun,Liang, Shunlin,Cao, Bao,et al. Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(20):11410-11430.
APA	Yao, Yunjun.,Liang, Shunlin.,Cao, Bao.,Liu, Shaomin.,Yu, Guirui.,...&Fisher, Joshua B..(2018).Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(20),11410-11430.
MLA	Yao, Yunjun,et al."Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.20(2018):11410-11430.