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        <title>Contributions of Geophysical and C-Band SAR Data for Estimation of Field Scale Soil Moisture</title>
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        <namePart type="given">Aaron</namePart>
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    <name type="personal">
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        <namePart type="given">Ruzbeh</namePart>
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    <name type="personal">
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    <abstract>In this study we evaluate a Random Forest (RF) model for characterizing the spatial variability of soil moisture based on model derived from in situ soil moisture samples, geophysical data and RADAR observations. The RF model is run with and without C-band SAR backscatter to understand the importance of the inclusion of SAR data for mapping of soil moisture at field scale. The inclusion of SAR data in the RF resulted in a modest improvement however the geophysical parameters (e.g. soil types and terrain properties) were of greater importance.</abstract>
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    <identifier type="doi">10.1109/igarss.2018.8517551</identifier>
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%0 Journal Article
%T Contributions of Geophysical and C-Band SAR Data for Estimation of Field Scale Soil Moisture
%A Berg, Aaron
%A Krafczek, Mitchell
%A Clewley, Daniel
%A Whitcomb, J.
%A Akbar, Ruzbeh
%A Moghaddam, Mahta
%A McNarin, Heather
%J IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
%D 2018
%I IEEE
%F Berg-2018-Contributions
%X In this study we evaluate a Random Forest (RF) model for characterizing the spatial variability of soil moisture based on model derived from in situ soil moisture samples, geophysical data and RADAR observations. The RF model is run with and without C-band SAR backscatter to understand the importance of the inclusion of SAR data for mapping of soil moisture at field scale. The inclusion of SAR data in the RF resulted in a modest improvement however the geophysical parameters (e.g. soil types and terrain properties) were of greater importance.
%R 10.1109/igarss.2018.8517551
%U https://gwf-uwaterloo.github.io/gwf-publications/G18-15001
%U https://doi.org/10.1109/igarss.2018.8517551

Markdown (Informal)

[Contributions of Geophysical and C-Band SAR Data for Estimation of Field Scale Soil Moisture](https://gwf-uwaterloo.github.io/gwf-publications/G18-15001) (Berg et al., GWF 2018)

• Contributions of Geophysical and C-Band SAR Data for Estimation of Field Scale Soil Moisture (Berg et al., GWF 2018)

ACL

• Aaron Berg, Mitchell Krafczek, Daniel Clewley, J. Whitcomb, Ruzbeh Akbar, Mahta Moghaddam, and Heather McNarin. 2018. Contributions of Geophysical and C-Band SAR Data for Estimation of Field Scale Soil Moisture. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.