Research Papers

Vegetation water content mapping in a diverse agricultural landscape: National Airborne Field Experiment 2006

[+] Author Affiliations
Michael H. Cosh

USDA-ARS Hydrology and Remote Sensing Laboratory, Rm 104 Bldg 007 BARC-West, Beltsville, MD 20705

Jing Tao

Beijing Normal University, School of Geography and Remote Sensing Science, Beijing, China

Thomas J. Jackson, Lynn McKee

USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705

Peggy O'Neill

NASA Goddard Space Flight Center, Greenbelt, MD 20771

J. Appl. Remote Sens. 4(1), 043532 (May 19, 2010). doi:10.1117/1.3449090
History: Received January 8, 2009; Revised February 1, 2010; Accepted May 5, 2010; May 19, 2010; Online May 19, 2010
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Abstract

Mapping land cover and vegetation characteristics on a regional scale is critical to soil moisture retrieval using microwave remote sensing. In aircraft-based experiments such as the National Airborne Field Experiment 2006 (NAFE'06), it is challenging to provide accurate high resolution vegetation information, especially on a daily basis. A technique proposed in previous studies was adapted here to the heterogenous conditions encountered in NAFE'06, which included a hydrologically complex landscape consisting of both irrigated and dryland agriculture. Using field vegetation sampling and ground-based reflectance measurements, the knowledge base for relating the Normalized Difference Water Index (NDWI) and the vegetation water content was extended to a greater diversity of agricultural crops, which included dryland and irrigated wheat, alfalfa, and canola. Critical to the generation of vegetation water content maps, the land cover for this region was determined from satellite visible/infrared imagery and ground surveys with an accuracy of 95.5% and a kappa coefficient of 0.95. The vegetation water content was estimated with a root mean square error of 0.33 kg/m2>. The results of this investigation contribute to a more robust database of global vegetation water content observations and demonstrate that the approach can be applied with high accuracy.

© 2010 Society of Photo-Optical Instrumentation Engineers

Topics

Agriculture ; Water

Citation

Michael H. Cosh ; Jing Tao ; Thomas J. Jackson ; Lynn McKee and Peggy O'Neill
"Vegetation water content mapping in a diverse agricultural landscape: National Airborne Field Experiment 2006", J. Appl. Remote Sens. 4(1), 043532 (May 19, 2010). ; http://dx.doi.org/10.1117/1.3449090


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