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Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data

Aresys, Via Flumendosa 16, 20132 Milan, Italy
Dipartimento di Elettronica Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(2), 240;
Received: 30 October 2019 / Revised: 3 January 2020 / Accepted: 7 January 2020 / Published: 10 January 2020
In this work, the role of volume scattering obtained from ground and volume decomposition of P-band synthetic aperture radar (SAR) data as a proxy for biomass is investigated. The analysis here presented originates from the BIOMASS L2 activities, part of which were focused on strengthening the physical foundations of the SAR-based retrieval of forest above-ground biomass (AGB). A critical analysis of the observed strong correlation between tomographic intensity and AGB is done in order to propose simplified AGB proxies to be used during the interferometric phase of BIOMASS. In particular, the aim is to discuss whether, and to what extent, volume scattering obtained from ground/volume decomposition can provide a reasonable alternative to tomography. To do this, both are tested on P-band data collected at Paracou during the TropiSAR campaign and cross-validated against in-situ AGB measurements. Results indicate that volume backscattered power as obtained by ground/volume decomposition is weakly correlated to AGB, notwithstanding different solutions for volume scattering are tested, and support the conclusion that forest structure actually plays a non-negligible role in AGB retrieval in dense tropical forests. View Full-Text
Keywords: biomass; SAR; polarimetry; tomography; interferometry biomass; SAR; polarimetry; tomography; interferometry
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MDPI and ACS Style

Banda, F.; Mariotti d’Alessandro, M.; Tebaldini, S. Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data. Remote Sens. 2020, 12, 240.

AMA Style

Banda F, Mariotti d’Alessandro M, Tebaldini S. Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data. Remote Sensing. 2020; 12(2):240.

Chicago/Turabian Style

Banda, Francesco, Mauro Mariotti d’Alessandro, and Stefano Tebaldini. 2020. "Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data" Remote Sensing 12, no. 2: 240.

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