The Remote Sensing/Earth Observation of Wildfires community serves as a thematic repository and topic aggregator for datasets, publications, software, processing workflows, derived products, and other research resources related to the observation and analysis of wildfires using remote sensing and Earth observation technologies.
The community welcomes contributions covering the full wildfire cycle, including active-fire detection, monitoring and surveillance, fire progression, burned-area mapping, post-fire assessment, burn severity evaluation, and the analysis of ecological impacts. It also encompasses integrated approaches for monitoring ecosystem resistance, resilience, recovery, regeneration, and long-term post-fire trajectories across different spatial and temporal scales.
Submissions may draw on observations from satellite, airborne, drone-based, and ground-based remote sensing platforms, as well as multisource and multimodal data integration. Relevant resources may include optical, thermal, radar, hyperspectral, LiDAR, meteorological, climatic, and ancillary geospatial datasets and products.
The community is open to a broad range of analytical techniques and methodological approaches, including spectral indices and indicators, image classification, change detection, time-series analysis, spatial modeling, data fusion, statistical methods, machine learning, deep learning, computer vision, transformer-based architectures, and other emerging computational approaches.
By bringing together openly accessible resources from diverse disciplines, sensors, ecosystems, geographic regions, and methodological perspectives, this community aims to support reproducible research, facilitate data and knowledge sharing, encourage methodological development, and strengthen collaboration in wildfire science, Earth observation, ecology, risk assessment, and environmental management.