Remote Sensing and Forest Fires
Dr. Víctor Fernández-García
Special Issue Information
Dear Colleagues,
Remote sensing is a growing discipline with multiple applications in forest and forestry systems, including the prediction of fire risk in forest systems, forest fire detection, forest fire damage assessment, and the monitoring of post-fire trajectories. The optimization of these applications is nowadays essential not only to achieve scientific goals but also to develop a more sustainable forest management (e.g. by taking pro-active measures in areas at risk, or by optimizing resources focusing emergency and other management actions in critical areas). Despite the immense amount of information published on remote sensing and forest fires in the last decades there are several factors that are currently opening new research gaps and generating new research needs and possibilities. Among them, we highlight the development of sensors widening the formerly available spatial, temporal, spectral or radiometric resolutions; the development of new analysis techniques; and the improvement of computational capacity.
This Special Issue “Remote sensing and forest fires” welcomes scientific publications contributing to the advancement of remote sensing and forestry disciplines by dealing with some of the fire-related aspects exposed above: fire and fire damage prediction, fire detection, fire damage analysis and analysis of post-fire recovery of both forest and forestry ecosystems. Our goal is to gather recent advances that take advantage of new remote sensing tools based on optical, thermal,, RADAR or LiDAR information, as well as using state-of-the-art methods of data processing and analysis (e.g. exploiting cloud-computing facilities, or using artificial intelligence methods) that can contribute to increase the analytical outreach and provide new insights in the remote sensing and forestry disciplines.
Dr. Víctor Fernández-García
Guest Editor