Spatio-Temporal Monitoring of Forest Fires and Vegetation

Dear Colleagues,

Forest dynamics monitoring is crucial for forest management operations, ecosystem and biodiversity preservation, tracking climate change effects, and wildfire prevention, control, and recovery. The recent advances in remote sensing techniques are providing new perspectives and tools for the study of vegetation variations over time and space. The large variety of remote sensing platforms (satellite, aerial, UAV, and terrestrial), imagery (multispectral and hyperspectral), and resulting products (i.e., time series and photogrammetric point clouds) are contributing to both the large-scale and fine characterization of forests. The use of terrestrial, airborne, and even satellite-borne laser scanning systems is becoming more common when analyzing forest structures and the spatial distribution of vegetation. In this Special Issue, we aim to collect contributions about new advances in remote sensing laser scanning systems, data sets, methods, and tools used to map and monitor vegetation from a spatiotemporal perspective, with a special emphasis on the prevention and mitigation of forest fires and the interpretation and analysis of the evolution of forest landscapes through the application of these techniques.

Prof. Dr. Luis A. Ruiz
Dr. Pablo Crespo-Peremarch
Guest Editors

Manuscript Submission Information

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