Biomass Level-2 Products - Part II: Processing Schemes and AGB Estimation Results from Campaign Data
Paper in proceeding, 2021

Scheduled for launch in 2023, ESA's seventh Earth Explorer Mission, BIOMASS, will carry the first P-band synthetic aperture radar (SAR) to be flown in space, to gather fully polarimetric acquisitions over forested areas worldwide in interferometric and tomographic modes. This paper presents the algorithms developed to estimate biophysical parameters from BIOMASS measurements and their implementation in the BIOMASS level 2 (L2) prototype processor. The L2 processor will generate global maps of forest Above Ground Biomass (AGB), Forest Height (FH), Forest disturbance (FD). Accurate generation of these products requires the L2 processor to be closely inter-linked with the BIOMASS interferometric processor, in order to produce phase-calibrated interferometric stacks, retrieve sub-canopy terrain topography, and generate a 3D representation of forest structure by use of SAR tomography. AGB estimation results are here shown using BIOMASS-like acquisitions derived from campaign data acquired over six tropical forests in South America and Equatorial Africa.

Forest height






Earth explorer



Forest disturbance


S. Tebaldini

Polytechnic University of Milan

Mauro Mariotti d'Alessandro

Polytechnic University of Milan

Francesco Banda


Davide Giudici


Lars Ulander

Geoscience and Remote Sensing

Maciej Soja

University of Tasmania

MJ Soja Consulting

S. Quegan

University of Sheffield

Kostas Papathanassiou

German Aerospace Center (DLR)

T. Le Toan

Centre d'Etudes Spatiales de la BIOsphère (CES)

Ludovic Villard

Centre d'Etudes Spatiales de la BIOsphère (CES)

Björn Rommen

European Space Agency (ESA)

Klaus Scipal

European Space Agency (ESA)

International Geoscience and Remote Sensing Symposium (IGARSS)

Vol. 2021-July 783-786
9781665403696 (ISBN)

2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Brussels, Belgium,

Subject Categories

Agricultural Science

Forest Science

Signal Processing



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4/8/2022 1