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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Daily Overview

Session

📌Poster Session and Networking Aperitivo 🍷
Location: Lower Lobby

Presentation 1

Forest disturbance analysis of BIOMASS time-series in the Brazilian Amazon: comparison with Sentinel-1 and Sentinel-2 missions

Marta Bottani¹, Laurent Ferro-Famil^1,2, Stéphane Mermoz³, Juan Doblas³, Thuy Le Toan³, Thierry Koleck^1,4

1: CESBIO, Toulouse, France; 2: ISAE Supaero, Toulouse, France; 3: GlobEO, Toulouse, France; 4: CNES, Toulouse, France

Timely and reliable detection of forest disturbance is crucial for monitoring tropical ecosystems and informing conservation and policy actions. The European Space Agency’s BIOMASS mission, launched to provide global P-band Synthetic Aperture Radar (SAR) measurements, offers unprecedented potential for observing forest structure and biomass dynamics. Beyond its primary objective of estimating above-ground biomass, BIOMASS data may also enhance the capability to detect forest disturbances due to its sensitivity to forest vertical structure.

This study investigates the potential of Cal/Val BIOMASS multi-temporal observations for detecting tropical forest disturbances. BIOMASS assessments derived from multi-temporal, multi-baseline polarimetric and interferometric observations are compared with forest loss detection results obtained from C-band SAR Sentinel-1 (S1) and multispectral Sentinel-2 (S2) data, using a Bayesian Online Changepoint Detection (BOCD) framework that enables near real-time monitoring. In particular, BIOMASS results are compared against the detection performance of three BOCD configurations: S1 single-polarization (VH-BOCD), S1 dual-polarization (pol-BOCD), and the generalization of the approach to jointly handle asynchronous time series from S1 and S2 (ms-BOCD).

The evaluation is carried out over selected areas in the Brazilian Amazon using reference data from MapBiomas Alerta, an initiative devoted to land cover mapping in Brazil that provides spatially explicit records of deforestation events derived from visual interpretation of high-resolution optical imagery. Both spatial and temporal synergies between Sentinel-based detections and BIOMASS observations are investigated to assess the added value of integrating multi-source data for accurate forest disturbance monitoring.