USING AIRBORNE LIDAR DATA FOR ASSESSMENT OF FOREST FIRE FUEL LOAD POTENTIAL

5 citations as recorded by crossref.

1. A Mixed Methods Approach for Fuel Characterisation in Gorse (Ulex europaeus L.) Scrub from High-Density UAV Laser Scanning Point Clouds and Semantic Segmentation of UAV Imagery R. Hartley et al. https://doi.org/10.3390/rs14194775
2. Repeat terrestrial laser scanning for documenting and monitoring prescribed fire efficacy A. Maxwell et al. https://doi.org/10.1186/s42408-026-00498-0
3. Mapping Forest Fire Risk—A Case Study in Galicia (Spain) A. Novo et al. https://doi.org/10.3390/rs12223705
4. Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data A. ARSLAN et al. https://doi.org/10.33904/ejfe.1174123
5. FusionFireNet: A CNN-LSTM model for short-term wildfire hotspot prediction utilizing spatio-temporal datasets N. Alizadeh et al. https://doi.org/10.1016/j.rsase.2024.101436