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

11 citations as recorded by crossref.

1. Radiometric and Atmospheric Corrections of Multispectral μMCA Camera for UAV Spectroscopy R. Minařík et al. 10.3390/rs11202428
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. Monitoring Bark Beetle Forest Damage in Central Europe. A Remote Sensing Approach Validated with Field Data A. Fernandez-Carrillo et al. 10.3390/rs12213634
4. Automatic Tree Crown Extraction from UAS Multispectral Imagery for the Detection of Bark Beetle Disturbance in Mixed Forests R. Minařík et al. 10.3390/rs12244081
5. Analysis of the Degree of Threat to Railway Infrastructure by Falling Tree Vegetation M. Kučera & Z. Dobesova 10.3390/ijgi10050292
6. 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
7. 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
8. Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa S. Kumbula et al. 10.3390/rs11030278
9. Unmanned aerial systems for agriculture and natural resources S. Hogan et al. 10.3733/ca.2017a0002
10. 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
11. 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