A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation-Reference-Cited by-同舟云学术

A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation

Published:2007-05-24 Issue:D10 Volume:112 Page:
ISSN:0148-0227
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res.

Author:

Anderson Martha C.¹,Norman John M.²,Mecikalski John R.³,Otkin Jason A.⁴,Kustas William P.¹

Affiliation:

1. USDA-ARS Hydrology and Remote Sensing Laboratory; Beltsville Maryland USA

2. Department of Soil Science; University of Wisconsin; Madison Wisconsin USA

3. National Space Science and Technology Center; University of Alabama; Huntsville Alabama USA

4. Cooperative Institute for Meteorological Satellite Studies; University of Wisconsin; Madison Wisconsin USA

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Earth-Surface Processes,Geochemistry and Petrology,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry,Oceanography,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2006JD007506/fullpdf

Reference81 articles.

1. Improved ground hydrology calculations for global climate models (GCMs): Soil water movement and evapotranspiration;Abramopoulos;J. Climate Appl. Meteorol.,1988

2. A two-source time-integrated model for estimating surface fluxes using thermal infrared remote sensing;Anderson;Remote Sens. Environ.,1997

3. An analytical model for estimating canopy transpiration and carbon assimilation fluxes based on canopy light-use efficiency;Anderson;Agric. For. Meteorol.,2000

4. Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery;Anderson;Remote Sens. Environ.,2004

5. A multi-scale remote sensing model for disaggregating regional fluxes to micrometeorological scales;Anderson;J. Hydrometeor.,2004

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