d'Alessandro, M.M., Tebaldini, S., Quegan, S. orcid.org/0000-0003-4452-4829 et al. (3 more authors) (2020) Interferometric ground cancellation for above ground biomass estimation. IEEE Transactions on Geoscience and Remote Sensing, 58 (9). pp. 6410-6419. ISSN 0196-2892
Abstract
A new processing technique, i.e., ground cancellation, which removes the ground signal from a pair of interferometric synthetic aperture radar (SAR) images, is used to emphasize the response from above-ground targets. This technique is of particular interest when studying forest canopies using low-frequency signals able to reach the underlying ground, in which case the portion of the signal coming from the ground interferes with the recovery of information about the vegetation. We demonstrate that the power in ground-canceled P-band HV SAR data gives significantly higher correlations with above-ground biomass (AGB) than the interferometric images considered separately. In addition, a significant increase in the sensitivity of backscatter to AGB is observed. Ground-canceled power may then be modeled or regressed to estimate AGB; these possibilities are not discussed here as they will be the topic of forthcoming publications. The effectiveness of this technique is proven through simulations and analysis of real data gathered on tropical forests. The stability of the technique is analyzed under the digital terrain model and baseline control errors, and compensation strategies for these errors are presented.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. |
Keywords: | Above-ground biomass (AGB); biomass; forest; interferometry; synthetic aperture radar (SAR); tomography; tropical |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
Funding Information: | Funder Grant number Natural Environment Research Council N/A European Space Agency 4000116784/16/NL/CT |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Jul 2020 08:31 |
Last Modified: | 22 Oct 2021 10:24 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tgrs.2020.2976854 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162752 |