Slide 1

Production, visualization and analysis of large volumes of remote sensing images modeled as multidimensional data cubes for the entire Brazilian territory.

Integration of Radar and Optical Data for Identifying Tropical Forest Disturbances

by SOUZA, Felipe Carvalho de1; CAMARA, Gilberto1; CARLOS, Felipe1; FREITAS, Ana Larissa Ribeiro De1; SIMOES, Rolf3; FERREIRA, Karine Reis1; GIULIANI, Gregory4; REICHE, Johannes5.

1National Institute for Space Research (INPE)

2Group on Earth Observations – GEO

3OpenGeoHub Foundation – OGH

4University of Geneva – Switzerland

5Wageningen University

XXI Brazilian Remote Sensing Symposium: https://proceedings.science/sbsr-2025/trabalhos/integration-of-radar-and-optical-data-for-identifying-tropical-forest-disturbanc

Publisher: Proceedings XXI Brazilian Remote Sensing Symposium | Published on 13 April 2025

Abstract

This work integrates optical and radar data cubes to detect forest disturbances in tropical regions. Our method identifies initial degradation and selective logging, often precursors to deforestation, demonstrating its utility in early-warning systems. These results emphasize the crucial role of integrating optical and radar data to improve the precision and dependability of monitoring systems, essential for sustainable forest management. These findings highlight the value of integrating multi-source data cubes to enhance precision in monitoring forest disturbances, thereby supporting more responsive and reliable environmental management.

Keywords: Forest Disturbances, Multi-source Integration, Earth Observation Data Cubes, Satellite Image Time Series

Share and Cite

SOUZA, Felipe Carvalho de et al. Integration of Radar and Optical Data for Identifying Tropical Forest Disturbances. In: In: Proceedings XXI Brazilian Remote Sensing Symposium, 2025, Salvador. Galoá, 2025. Available in: <https://proceedings.science/sbsr-2025/papers/integration-of-radar-and-optical-data-for-identifying-tropical-forest-disturbanc?lang=pt-br> Access: 2025, May 5th.

Brazil Data Cube - 2019 - 2025