A growing season Land Surface Process/Radiobrightness model for wheat-stubble in the Southern Great Plains

被引：21

作者：

Judge, J ^{[1
]}

England, AW

Crosson, WL

Laymon, CA

Hornbuckle, BK

Boprie, DL

Kim, EJ

Liou, YA

机构：

[1] Univ Michigan, Dept Elect Engn, Ann Arbor, MI 48109 USA

[2] Univ Michigan, Dept Atmospher Ocean & Space Sci, Ann Arbor, MI 48109 USA

[3] Global Hydrol & Climate Ctr, Huntsville, AL 35806 USA

[4] Natl Cent Univ, Ctr Space & Remote Sensing Res, Chungli 32054, Taiwan

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1999年 / 37卷 / 05期

基金：

美国国家航空航天局;

关键词：

D O I：

10.1109/36.789611

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Our point-scale Land Surface Process/Radio-brightness (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 nearsurface soil moisture and stored mater 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 EE and 3.28 K-2, 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 similar to 2.3% by volume. These underpredictions of near-surface soil moisture result in higher H-pol brightnesses at 19 GHz than those observed.

引用

页码：2152 / 2158

页数：7

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