Integrating remote sensing and ground methods to estimate evapotranspiration

Glenn, EP; Huete, AR; Nagler, PL; Hirschboeck, KK; Brown, P

Integrating remote sensing and ground methods to estimate evapotranspiration

Glenn, EP Huete, AR

Nagler, PL Hirschboeck, KK Brown, P

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Publication Type:: Journal Article
Citation:: Critical Reviews in Plant Sciences, 2007, 26 (3), pp. 139 - 168
Issue Date:: 2007-05-01

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Field	Value	Language
dc.contributor.author	Glenn, EP	en_US
dc.contributor.author	Huete, AR https://orcid.org/0000-0003-2809-2376	en_US
dc.contributor.author	Nagler, PL	en_US
dc.contributor.author	Hirschboeck, KK	en_US
dc.contributor.author	Brown, P	en_US
dc.date.issued	2007-05-01	en_US
dc.identifier.citation	Critical Reviews in Plant Sciences, 2007, 26 (3), pp. 139 - 168	en_US
dc.identifier.issn	0735-2689	en_US
dc.identifier.uri	http://hdl.handle.net/10453/8756
dc.description.abstract	Evapotranspiraton (ET) is the second largest term in the terrestrial water budget after precipitation, and ET is expected to increase with global warming. ET studies are relevant to the plant sciences because over 80% of terrestrial ET is due to transpiration by plants. Remote sensing is the only feasible means for projecting ET over large landscape units. In the past decade or so, new ground and remote sensing tools have dramatically increased our ability to measure ET at the plot scale and to scale it over larger regions. Moisture flux towers and micrometeorological stations have been deployed in numerous natural and agricultural biomes and provide continuous measurements of actual ET or potential ET with an accuracy or uncertainty of 10-30%. These measurements can be scaled to larger landscape units using remotely-sensed vegetation indices (VIs), Land Surface Temperature (LST), and other satellite data. Two types of methods have been developed. Empirical methods use time-series VIs and micrometeorological data to project ET measured on the ground to larger landscape units. Physically-based methods use remote sensing data to determine the components of the surface energy balance, including latent heat flux, which determines ET. Errors in predicting ET by both types of methods are within the error bounds of the flux towers by which they are calibrated or validated. However, the error bounds need to be reduced to 10% or less for applications that require precise wide-area ET estimates. The high fidelity between ET and VIs over agricultural fields and natural ecosystems where precise ground estimates of ET are available suggests that this might be an achievable goal if ground methods for measuring ET continue to improve. Copyright © Taylor & Francis Group, LLC.	en_US
dc.relation.ispartof	Critical Reviews in Plant Sciences	en_US
dc.relation.isbasedon	10.1080/07352680701402503	en_US
dc.subject.classification	Plant Biology & Botany	en_US
dc.title	Integrating remote sensing and ground methods to estimate evapotranspiration	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	26	en_US
utslib.for	0607 Plant Biology	en_US
utslib.for	0703 Crop and Pasture Production	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	26	en_US

Abstract:

Evapotranspiraton (ET) is the second largest term in the terrestrial water budget after precipitation, and ET is expected to increase with global warming. ET studies are relevant to the plant sciences because over 80% of terrestrial ET is due to transpiration by plants. Remote sensing is the only feasible means for projecting ET over large landscape units. In the past decade or so, new ground and remote sensing tools have dramatically increased our ability to measure ET at the plot scale and to scale it over larger regions. Moisture flux towers and micrometeorological stations have been deployed in numerous natural and agricultural biomes and provide continuous measurements of actual ET or potential ET with an accuracy or uncertainty of 10-30%. These measurements can be scaled to larger landscape units using remotely-sensed vegetation indices (VIs), Land Surface Temperature (LST), and other satellite data. Two types of methods have been developed. Empirical methods use time-series VIs and micrometeorological data to project ET measured on the ground to larger landscape units. Physically-based methods use remote sensing data to determine the components of the surface energy balance, including latent heat flux, which determines ET. Errors in predicting ET by both types of methods are within the error bounds of the flux towers by which they are calibrated or validated. However, the error bounds need to be reduced to 10% or less for applications that require precise wide-area ET estimates. The high fidelity between ET and VIs over agricultural fields and natural ecosystems where precise ground estimates of ET are available suggests that this might be an achievable goal if ground methods for measuring ET continue to improve. Copyright © Taylor & Francis Group, LLC.

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http://hdl.handle.net/10453/8756