The Potential of Low-Frequency Polarimetric SAR Data for Soil Carbon Content Retrieval in the Arctic

• Published in: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
• Main Authors: Yi, Yonghong, Tabatabaeenejad, Alireza, Fluhrer, Anke, Jagdhuber, Thomas, Moghaddam, Mahta, Kimball, J. S., Miller, Charles E.
• Format: Conference Object
• Language: unknown
• Published: 2023
• Subjects: Aufklärung und Sicherheit; Alaska North Slope; Arctic; Climate change; north slope; permafrost; Alaska
• Online Access: https://elib.dlr.de/198568/; https://ieeexplore.ieee.org/document/10282142

Accurate soil carbon data are important for understanding the permafrost response and potential carbon release to future climate change. However, there is a large discrepancy in current soil organic carbon (SOC) estimates in the Arctic, where sparse measurements are unable to capture SOC complexity over the vast and remote region. Polarimetric Synthetic Aperture Radar (SAR) data are sensitive to roughness and moisture conditions of soil and vegetation, and may provide useful information on surface and profile SOC properties ( Yi et al., 2021 , 2022 ). The NASA Arctic Boreal Vulnerability Experiment (ABoVE) airborne campaign acquired an abundance of full-polarimetric P- and L-band SAR data across Alaska and western Canada ( Miller et al., 2019 ), which provides opportunities to test new remote sensing applications. The main objective of this study is to investigate the potential of low-frequency polarimetric SAR data for regional SOC retrieval in the Arctic through data analysis and modeling. We chose the Alaska North Slope as our study area due to more in-situ data available in this area.