Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture-Reference-Cited by-同舟云学术

Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture

Published:2012-10-11 Issue:19 Volume:39 Page:n/a-n/a
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys. Res. Lett.

Author:

Bolten J. D.,Crow W. T.

Funder

NASA Applied Sciences Program

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

http://www.agu.org/journals/gl/gl1219/2012GL053470/2012GL053470.pdf

Reference24 articles.

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3. Monitoring global croplands with coarse resolution Earth observations: The Global Agriculture Monitoring (GLAM) project;Becker-Reshef;Remote Sens.,2010

4. Soil moisture estimates from TRMM microwave imager observations over the southern United States;Bindlish;Remote Sens. Environ.,2003

5. Assimilation of a Satellite-Based SoilMoisture Product into a Two-Layer Water Balance Model for a Global Crop Production Decision Support System

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