FOREST INVENTORY ATTRIBUTE ESTIMATION USING AIRBORNE LASER SCANNING, AERIAL STEREO IMAGERY, RADARGRAMMETRY AND INTERFEROMETRY–FINNISH EXPERIENCES OF THE 3D TECHNIQUES

14 citations as recorded by crossref.

1. The Effect of Pre- and Post-Processing Techniques on Tree Detection in Young Forest Stands from Images of Snow Cover Using YOLO Neural Networks A. Portnov et al. https://doi.org/10.33904/ejfe.1462335
2. Digital Aerial Photogrammetry (DAP) and Airborne Laser Scanning (ALS) as Sources of Information about Tree Height: Comparisons of the Accuracy of Remote Sensing Methods for Tree Height Estimation M. Mielcarek et al. https://doi.org/10.3390/rs12111808
3. Integration between TLS and UAV photogrammetry techniques for forestry applications I. Aicardi et al. https://doi.org/10.3832/ifor1780-009
4. Examining the Multi-Seasonal Consistency of Individual Tree Segmentation on Deciduous Stands Using Digital Aerial Photogrammetry (DAP) and Unmanned Aerial Systems (UAS) R. Nuijten et al. https://doi.org/10.3390/rs11070739
5. Use of Unmanned Aerial Vehicles for Monitoring Recovery of Forest Vegetation on Petroleum Well Sites J. Hird et al. https://doi.org/10.3390/rs9050413
6. A low-cost alternative to LiDAR for site index models: applying repeated digital aerial photogrammetry data in the modelling of forest top height growth P. Janiec et al. https://doi.org/10.1093/forestry/cpae047
7. Digital aerial photogrammetry as a spatial and temporal extension of ALS in forest height growth modeling P. Janiec et al. https://doi.org/10.1080/17538947.2024.2418879
8. Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations J. Guerra-Hernández et al. https://doi.org/10.1080/01431161.2018.1486519
9. Comparison of LiDAR and Digital Aerial Photogrammetry for Characterizing Canopy Openings in the Boreal Forest of Northern Alberta A. Dietmaier et al. https://doi.org/10.3390/rs11161919
10. Monitoring of Monthly Height Growth of Individual Trees in a Subtropical Mixed Plantation Using UAV Data X. Tang et al. https://doi.org/10.3390/rs15020326
11. Predicting Growing Stock Volume of Eucalyptus Plantations Using 3-D Point Clouds Derived from UAV Imagery and ALS Data J. Guerra-Hernández et al. https://doi.org/10.3390/f10100905
12. Testing the quality of forest variable estimation using dense image matching: a comparison with airborne laser scanning in a Mediterranean pine forest J. Navarro et al. https://doi.org/10.1080/01431161.2018.1471551
13. Improving Heterogeneous Forest Height Maps by Integrating GEDI-Based Forest Height Information in a Multi-Sensor Mapping Process D. Morin et al. https://doi.org/10.3390/rs14092079
14. Ground Validation of Seismic Line Forest Regeneration Assessments Based on Visual Interpretation of Satellite Imagery A. Van Dongen et al. https://doi.org/10.3390/f13071022