USE OF A MULTISPECTRAL UAV PHOTOGRAMMETRY FOR DETECTION AND TRACKING OF FOREST DISTURBANCE DYNAMICS

15 citations as recorded by crossref.

1. An Integration of Linear Model and ‘Random Forest’ Techniques for Prediction of Norway Spruce Vitality: A Case Study of the Hemiboreal Forest, Latvia E. Bāders et al. 10.3390/rs14092122
2. Detection of green attack and bark beetle susceptibility in Norway Spruce: Utilizing PlanetScope Multispectral Imagery for Tri-Stage spectral separability analysis A. Trubin et al. 10.1016/j.foreco.2024.121838
3. Accurate Measurement and Assessment of Typhoon-Related Damage to Roadside Trees and Urban Forests Using the Unmanned Aerial Vehicle L. Qin et al. 10.3390/rs14092093
4. Analysis of the Vigor of Pinus hartwegii Lindl. along an Altitudinal Gradient Using UAV Multispectral Images: Evidence of Forest Decline Possibly Associated with Climatic Change J. Gallardo-Salazar et al. 10.3390/f14061176
5. The Use of UAV-Acquired Multiband Images for Detecting Rockfall-Induced Injuries at Tree Crown Level B. Žabota & M. Kobal 10.3390/f13071039
6. Unmanned aerial systems for agriculture and natural resources S. Hogan et al. 10.3733/ca.2017a0002
7. A review of major factors influencing the accuracy of mapping green-attack stage of bark beetle infestations using satellite imagery: Prospects to avoid data redundancy K. Zabihi et al. 10.1016/j.rsase.2021.100638
8. Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Göttinger Forest J. Anwander et al. 10.3390/rs16030561
9. What Is the Effect of Quantitative Inversion of Photosynthetic Pigment Content in Populus euphratica Oliv. Individual Tree Canopy Based on Multispectral UAV Images? Y. Kahaer et al. 10.3390/f13040542
10. Monitoring Bark Beetle Forest Damage in Central Europe. A Remote Sensing Approach Validated with Field Data A. Fernandez-Carrillo et al. 10.3390/rs12213634
11. GEOBIA and Vegetation Indices in Extracting Olive Tree Canopies Based on Very High-Resolution UAV Multispectral Imagery A. Šiljeg et al. 10.3390/app13020739
12. Detecting Individual Tree Attributes and Multispectral Indices Using Unmanned Aerial Vehicles: Applications in a Pine Clonal Orchard J. Gallardo-Salazar & M. Pompa-García 10.3390/rs12244144
13. Visual Exposure of Rock Outcrops in the Context of a Forest Disease Outbreak Simulation Based on a Canopy Height Model and Spectral Information Acquired by an Unmanned Aerial Vehicle M. Balková et al. 10.3390/ijgi9050325
14. Mapping Boreal Forest Spruce Beetle Health Status at the Individual Crown Scale Using Fused Spectral and Structural Data J. Cessna et al. 10.3390/f12091145
15. Monitoring Forest Resilience Dynamics from Very High-Resolution Satellite Images in Case of Multi-Hazard Disaster R. Rezaei & S. Ghaffarian 10.3390/rs13204176