Next Article in Journal
Climate-Quality Calibration for Low Earth-Orbit Microwave Radiometry
Previous Article in Journal
A New Approach for Estimating Soil Salinity Using A Low-Cost Soil Sensor In Situ: A Case Study in Saline Regions of China’s East Coast
Previous Article in Special Issue
Monitoring and Detecting Archaeological Features with Multi-Frequency Polarimetric Analysis
Open AccessArticle

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

1
Aresys, Via Flumendosa 16, 20132 Milan, Italy
2
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; https://doi.org/10.3390/rs12020240
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
Show Figures

Graphical abstract

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop