GSTDTAP  > 气候变化
DOI10.1029/2018JD029011
Satellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data
Yao, Yunjun1; Liang, Shunlin2; Cao, Bao3; Liu, Shaomin4; Yu, Guirui5; Jia, Kun1; Zhang, Xiaotong1; Zhang, Yuhu6; Chen, Jiquan7; Fisher, Joshua B.8
2018-10-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2018
卷号123期号:20页码:11410-11430
文章类型Article
语种英语
国家Peoples R China; USA
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.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000452000300009
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类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/34079
专题气候变化
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
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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.
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