Contributions of Geophysical and C-Band SAR Data for Estimation of Field Scale Soil Moisture

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Publication Type

Authorship

Berg, A., Krafczek, M., Clewley, D., Whitcomb, J., Akbar, R., Moghaddam, M., & McNarin, H.

Title

Contributions of Geophysical and C-Band SAR Data for Estimation of Field Scale Soil Moisture

Year

2018

Publication Outlet

In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 6127-6130). IEEE

DOI

https://doi.org/10.1109/IGARSS.2018.8517551

Citation

Berg, A., Krafczek, M., Clewley, D., Whitcomb, J., Akbar, R., Moghaddam, M., & McNarin, H. (2018). Contributions of Geophysical and C-Band SAR Data for Estimation of Field Scale Soil Moisture. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 6127-6130). IEEE. https://doi.org/10.1109/IGARSS.2018.8517551

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.