UAS-Based Lidar and Imagery Data for Forest
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 24212
Special Issue Editors
Interests: forests; mapping natural resources; forest management; remote sensing to map forest resources; UAV forest applications
Special Issues, Collections and Topics in MDPI journals
Interests: multi and hyper-spectral remote sensing; ecosystem succession; time series trend-analysis; geostatistics; spatial modeling; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Unmanned aerial vehicle (UAV) applications are rapidly expanding and revolutionizing remote sensing for forest monitoring. UAV platforms provide a unique opportunity to acquire high-resolution 3D and 2D data using LiDAR or digital structure-from-motion photogrammetry. These data can improve the efficiency of forest inventories for small-scale forest management and large-scale forest inventories when the data are linked, for example, with satellite imagery. In addition, thanks to their ability to capture very fine resolution information on the forest structure, UAVs are increasingly used to map or estimate not only classical forest inventory variables (e.g., growing stock volume, tree species composition, and biomass) but also biodiversity indicators (e.g., microhabitat, canopy cover, and gaps), impact on soils by forest operations (e.g., soils displacement), and forest disturbances monitoring (e.g., fire and windstorm damage). Nonetheless, it is not yet clear which UAV applications are cost-effective and accurate in forest applications. The lack of such information is currently hindering the extensive operational use of UAVs in the forest sector. The Special Issue examines the potential of using UAV-based LiDAR and UAV imagery data in forest applications to map and estimate forest variables at stand level and/or tree level. Research papers that focus on both forest metrics and methodological development are welcome. This Special Issue aims to collect new application and innovative data elaboration methodologies that use UAV-based LiDAR and UAV imagery data in research applications, focusing on:
- forest inventory;
- forest management;
- forest canopy height and attributes;
- biomass estimation;
- forest disturbances;
- forest biodiversity indicators;
- canopy gaps;
- soils displacement after forest operations.
Dr. Francesca Giannetti
Prof. Dr. Arturo Sanchez-Azofeifa
Guest Editors
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