NDLI: Microwave soil moisture prediction through corn in Washita '92

Content Provider	IEEE Xplore Digital Library
Author	O'Neill, P.E. Chauhan, N.S. Jackson, T.J. Le Vine, D.M. Lang, R.H.
Copyright Year	1994
Description	Author affiliation: Hydrological Sci. Branch, NASA Goddard Space Flight Center, Greenbelt, MD, USA (O'Neill, P.E.)
Abstract	During June, 1992 NASA and USDA conducted a hydrology field experiment in the Little Washita River Watershed near Chickasha, Oklahoma, with a goal of characterizing the spatial and temporal variability of soil moisture using microwave sensors. As part of this experiment, truck radar data at 1.6 GHz acquired over a large corn field were used to validate the performance of a vegetation model in which discrete scatter random media techniques are employed to calculate vegetation transmissivity and scattering. These parameters were then used in a soil moisture prediction algorithm utilizing aircraft microwave data from the 1.4 GHz ESTAR radiometer. Over the 8 flight days of the experiment (during which soil moisture decreased over 20% from the saturated conditions at the start), the match of predicted to measured soil moisture was excellent, with an average absolute error of less than 1.5%. For the corn, canopy encountered in Washita '92 (2.1 m tall with canopy water content of 4.05 kg/m/sup 2/), the inclusion of the small single scattering albedo in the algorithm slightly improved the prediction of soil moisture.
Starting Page	1585
Ending Page	1587
File Size	310497
Page Count	3
File Format	PDF
ISBN	0780314972
DOI	10.1109/IGARSS.1994.399505
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-08-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil moisture Radar scattering Vegetation NASA US Department of Agriculture Hydrology Rivers Microwave sensors Random media Prediction algorithms
Content Type	Text
Resource Type	Article

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