Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles

• Published in: Ecological indicators Vol. 169; p. 112970
• Main Authors: Daniel Kissling, W., Shi, Yifang, Wang, Jinhu, Walicka, Agata, George, Charles, Moeslund, Jesper E., Gerard, France
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2024; Elsevier
• Subjects: Biodiversity monitoring; Conservation management; Deep learning; Drone remote sensing; Geospatial data; Photogrammetry pipeline; Vegetation mapping; Deep learning; Drone remote sensing; Geospatial data; Vegetation mapping; Biodiversity monitoring; Photogrammetry pipeline; Conservation management

[Display omitted] •UAV and airborne LiDAR surveys require standardized reporting of data and metadata.•Open-source tools can enhance transparency in geospatial data processing workflows.•Robust metrics and model transferability are needed for reliable habitat indicators.•Big data processing for habi...