arXiv:2607. 03663v1 Announce Type: cross Abstract: The accurate estimation of Above-Ground Biomass (AGB) in mature tropical forests remains a critical challenge in remote sensing, primarily due to the saturation of Synthetic Aperture Radar (SAR) signals in high-density areas and persistent cloud cover affecting optical imagery.
By Luiz Felipe Parente Santiago (Institute of Computing, Brazilian Army Research Institute in the Amazon), Rosiane Rodrigues de Freitas (Institute of Computing), Daniel Rodrigues dos Santos (Military Institute of Engineering), Felipe Ferrari (Military Institute of Engineering)
FORMSpoT presents a decade-long, 1.5 m resolution mapping of forest canopy height across France using SPOT‑6/7 data and a transformer model trained on airborne laser scanning. The derived FORMSpoT‑Δ disturbance polygons reveal that most French forest disturbances are small (<0.1 ha), a scale largely missed by coarser Sentinel‑1/2 and Landsat products, and that the method achieves high detection accuracy (F1 > 0.8) for events larger than 100 m² while still capturing finer events. Nationally, the approach distinguishes contrasting disturbance regimes—clear‑cut dominated in maritime pine plantations versus diffuse events in mountain forests—and tracks temporal dynamics such as the 2017‑2022 bark beetle crisis.
By Martin Schwartz, Fajwel Fogel, Nikola Besic, Damien Robert, Louis Geist, Jean-Pierre Renaud, Jean-Matthieu Monnet, Clemens Mosig, C\'edric Vega, Alexandre d'Aspremont, Loic Landrieu, Philippe Ciais
The paper introduces a multi‑sensor deep learning framework for mapping informal settlements in Córdoba, Argentina, using high‑resolution PlanetScope multispectral imagery, COSMO‑SkyMed SAR data, and medium‑resolution PRISMA hyperspectral observations. It compares SAR‑only, MS‑only, and various fusion strategies (early, middle, late) and finds that late fusion with hyperspectral data (LF+HS) delivers the best balance of classification accuracy and spatial precision. The study also demonstrates that detections outside official polygons align with broader municipal vulnerability layers and that identified settlements show higher surface temperatures during a heatwave, highlighting localized heat amplification.
By Luigi Russo, Anabella Ferral, Silvia Liberata Ullo, Paolo Gamba
Agricultural monitoring faces unique challenges, arising from the landscape's complex temporal, phenological, and climate dynamics, yet monitoring them is critical for ensuring food security. Synthetic Aperture Radar (SAR) satellites offer all-weather day-night imaging capability supporting key monitoring tasks including crop type mapping, yield prediction and phenological event detection.
arXiv:2609.23687v1 Announce Type: new
Abstract: This paper introduces a multi-temporal tabular dataset derived from satellite images to map burned areas in the Chapada dos Veadeiros National Park, in...
By Alisson Cleiton de Oliveira, Thales Sehn K\"orting
arXiv:2606. 05731v1 Announce Type: new Abstract: In-season crop type mapping is critical for food security in the face of increasingly extreme climate-related threats to crops.
By August Posch, Jitendra Kumar, Forrest M. Hoffman, Auroop R. Ganguly