File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

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

TitleSatellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data
Authors
KeywordsMODIS
Priestley-Taylor algorithm
shortwave infrared reflectance metrics
soil moisture
terrestrial latent heat flux
Issue Date2018
Citation
Journal of Geophysical Research: Atmospheres, 2018, v. 123, n. 20, p. 11,410-11,430 How to Cite?
AbstractThe 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 ≤ R2 ≤ 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.
Persistent Identifierhttp://hdl.handle.net/10722/321814
ISSN
2023 Impact Factor: 3.8
2023 SCImago Journal Rankings: 1.710
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYao, Yunjun-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorCao, Bao-
dc.contributor.authorLiu, Shaomin-
dc.contributor.authorYu, Guirui-
dc.contributor.authorJia, Kun-
dc.contributor.authorZhang, Xiaotong-
dc.contributor.authorZhang, Yuhu-
dc.contributor.authorChen, Jiquan-
dc.contributor.authorFisher, Joshua B.-
dc.date.accessioned2022-11-03T02:21:37Z-
dc.date.available2022-11-03T02:21:37Z-
dc.date.issued2018-
dc.identifier.citationJournal of Geophysical Research: Atmospheres, 2018, v. 123, n. 20, p. 11,410-11,430-
dc.identifier.issn2169-897X-
dc.identifier.urihttp://hdl.handle.net/10722/321814-
dc.description.abstractThe 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 ≤ R2 ≤ 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.-
dc.languageeng-
dc.relation.ispartofJournal of Geophysical Research: Atmospheres-
dc.subjectMODIS-
dc.subjectPriestley-Taylor algorithm-
dc.subjectshortwave infrared reflectance metrics-
dc.subjectsoil moisture-
dc.subjectterrestrial latent heat flux-
dc.titleSatellite Detection of Water Stress Effects on Terrestrial Latent Heat Flux With MODIS Shortwave Infrared Reflectance Data-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1029/2018JD029011-
dc.identifier.scopuseid_2-s2.0-85055481510-
dc.identifier.volume123-
dc.identifier.issue20-
dc.identifier.spage11,410-
dc.identifier.epage11,430-
dc.identifier.eissn2169-8996-
dc.identifier.isiWOS:000452000300009-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats