A growing season land surface process/radiobrightness model for wheat-stubble in the southern great plains

Jasmeet Judge; Anthony W. England; William L. Crosson; Charles A. Laymon; Brian K. Hornbuckle; David L. Boprie; Edward J. Kim; Yuei An Liou

doi:10.1109/36.789611

A growing season land surface process/radiobrightness model for wheat-stubble in the southern great plains

Jasmeet Judge, Anthony W. England, William L. Crosson, Charles A. Laymon, Brian K. Hornbuckle, David L. Boprie, Edward J. Kim, Yuei An Liou

Research output: Contribution to journal › Conference article › peer-review

22 Scopus citations

Abstract

Our 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 nearsurface 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.

Original language	English
Pages (from-to)	2152-2158
Number of pages	7
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	37
Issue number	5 I
DOIs	https://doi.org/10.1109/36.789611
State	Published - 1999
Event	Proceedings of the 1998 IEEE Transactions on Geoscience and Remote Sensing (IGARSS'98) - Remote Sensing and Managing the Environment - Seattle, WA, United States Duration: 5 Jul 1998 → 5 Jul 1998

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title = "A growing season land surface process/radiobrightness model for wheat-stubble in the southern great plains",

abstract = "Our 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 nearsurface 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.",

author = "Jasmeet Judge and England, {Anthony W.} and Crosson, {William L.} and Laymon, {Charles A.} and Hornbuckle, {Brian K.} and Boprie, {David L.} and Kim, {Edward J.} and Liou, {Yuei An}",

note = "Funding Information: Manuscript received November 9, 1998; revised May 27, 1999. The LSP/R model development and the REBEX-5 contribution to SGP{\textquoteright}97 were supported by NASA Grant NAGW-5203. J. Judge, A. W. England, B. K. Hornbuckle, D. L. Boprie, and E. J. Kim are with the Departments of Electrical Engineering and Atmospheric, Oceanic and Space Sciences, The University of Michigan, Ann Arbor, MI 48109-2122 USA (e-mail: jasmeet@eecs.umich.edu). W. L. Crosson and C. A. Laymon are with the Global Hydrology and Climate Center, Huntsville, AL 35806 USA. Y.-A. Liou is with the Center for Space and Remote Sensing Rsearch, National Central University, Chung-Li, Taiwan, R.O.C. Publisher Item Identifier S 0196-2892(99)07186-7.; null ; Conference date: 05-07-1998 Through 05-07-1998",

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AU - Judge, Jasmeet

AU - England, Anthony W.

AU - Crosson, William L.

AU - Laymon, Charles A.

AU - Hornbuckle, Brian K.

AU - Boprie, David L.

AU - Kim, Edward J.

AU - Liou, Yuei An

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N2 - Our 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 nearsurface 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.

AB - Our 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 nearsurface 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.

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M3 - 會議論文

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SN - 0196-2892

VL - 37

SP - 2152

EP - 2158

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

IS - 5 I

Y2 - 5 July 1998 through 5 July 1998

ER -

A growing season land surface process/radiobrightness model for wheat-stubble in the southern great plains

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