15 citations as recorded by crossref.

1. Laserfarm – A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds W. Kissling et al.
2. Perspectives on environment and health research in Denmark H. Horsdal et al.
3. Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands Y. Shi et al.
4. Soil assessment in Denmark: Towards soil functional mapping and beyond L. Gomes et al.
5. Temperate forests of high conservation value are successfully identified by satellite and LiDAR data fusion J. Assmann et al.
6. Space‐use by feral cattle and horses shapes vegetation structure in a trophic rewilding area J. Kristensen et al.
7. What moves large grazers? Habitat preferences and complementing niches of large herbivores in a Danish trophic rewilding area B. Rech et al.
8. Assessing the Robustness of Multispectral Satellite Imagery with LiDAR Topographic Attributes and Ancillary Data to Predict Vertical Structure in a Wet Eucalypt Forest B. Yadav et al.
9. Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging Y. Shi & W. Kissling
10. Vegetation structure derived from airborne laser scanning to assess species distribution and habitat suitability: The way forward V. Moudrý et al.
11. Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles W. Daniel Kissling et al.
12. Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sites W. Kissling et al.
13. Using the full potential of Airborne Laser Scanning (aerial LiDAR) in wildlife research C. Cosgrove et al.
14. Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed V. Moudrý et al.
15. Airborne laser scanning transects over Canada's northern forests: lidar plots for science and application C. Bater et al.