DocumentCode :
1552161
Title :
A growing season land surface process/radiobrightness model for wheat-stubble in the Southern Great Plains
Author :
Judge, Jasmeet ; England, Anthony W. ; Crosson, William L. ; Laymon, Charles A. ; Hornbuckle, Brian K. ; Boprie, David L. ; Kim, Edward J. ; Yuei-An Lieu
Author_Institution :
Dept. of Electr. Eng. & Atmos., Oceanic & Space Sci., Michigan Univ., Ann Arbor, MI, USA
Volume :
37
Issue :
5
fYear :
1999
fDate :
9/1/1999 12:00:00 AM
Firstpage :
2152
Lastpage :
2158
Abstract :
The authors´ point-scale Land Surface Process/Radiobrightness (LSP/R) model for a prairie grassland in the northern Great Plains was adapted to winter wheat-stubble within the region of the Southern Great Plains 1997 (SGP´97) Hydrology Experiment. The model maintains running estimates of near-surface soil moisture and stored water in soil and vegetation when forced by weather, and predicts the microwave brightness of the terrain. LSP/R model predictions were compared with the field observations recorded during SGP´97. The model captures canopy and soil temperatures very well, with the maximum mean and variance of the difference between the model and field temperatures being 1.06 K and 3.28 K2, respectively. It yields reasonable predictions for the moisture in deeper layers of the soil, but its predictions for the moisture in the upper layers are low by ~2.3% by volume. These underpredictions of near-surface soil moisture result in higher H-pol brightnesses at 19 GHz than those observed
Keywords :
agriculture; geophysical techniques; hydrological techniques; radiometry; remote sensing; soil; terrain mapping; Southern Great Plains; Triticum; USA; United States; agriculture; crops; geophysical measurement technique; growing season land surface process; hydrology; microwave radiometry; radiobrightness model; remote sensing; soil moisture; stored water; terrain mapping; vegetation; wheat-stubble; Atmospheric modeling; Brightness; Hydrology; Land surface; Ocean temperature; Predictive models; Soil moisture; Vegetation mapping; Water storage; Weather forecasting;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.789611
Filename :
789611
Link To Document :
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