Spatial variability in microwave radiometric signatures of growing corn and soybean during SMAPVEX16-microwex

Conference paper (2017)

Authors

Pang Wei Liu University of Florida
Jasmeet Judge University of Florida
Ross Williamson California Institute of Technology
Isaac Ramos California Institute of Technology
Simon Yueh California Institute of Technology
Anthony England University of Michigan-Dearborn
Subit Chakrabarti University of Florida
Roger Deroo University of Michigan
S.C. Steele-Dunne Water Resources - CEG
Brian Hornbuckle Iowa State University
Andreas Colliander California Institute of Technology
Sidharth Misra California Institute of Technology
Scott Tripp California Institute of Technology
Barron Latham California Institute of Technology
Research Group
Water Resources (CEG) (TU Delft)
Soil Moisture Passive Microwave Remote Sensing Scale Variability Vegetation Opacity
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Published Date

01-12-2017

Language

English

Reuse Rights

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Faculty

Civil Engineering & Geosciences

Department

Water Management

Research Group

Water Resources

Abstract

In this study, the impact of spatial variability due to the heterogeneity of vegetation in the agricultural region on passive microwave signatures available at various scales are explored using the brightness temperature (TB) observed from ground, air, and space. These observations were conducted during a growing season of corn and soybean in South Fork watershed, Iowa, as part of the NASA-Soil Moisture Active Passive Validation Experiment (SMAPVEX16). Both empirical and physically-based microwave emission models are used to understand the effects of vegetation on TB for corn and soybean using ground-based TB observations. The modeled TB will be upscaled based upon the USDA crop layer map to compare with the TB observed in the coarse scales.

Files

08127865.pdf
(.pdf | 0.966 Mb)