Cardil A, Otsu K, Pla M, Silva CA, Brotons L (2019) Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery. PLOS ONE […]
Larrinaga, A.R.; Brotons, L. Greenness Indices from a Low-Cost UAV Imagery as Tools for Monitoring Post-Fire Forest Recovery. Drones 2019, 3, 6. https://www.mdpi.com/2504-446X/3/1/6 During recent years unmanned aerial vehicles (UAVs) have been increasingly […]
Otsu, K., Pla, M., Vayreda, J., & Brotons, L. (2018). Calibrating the Severity of Forest Defoliation by Pine Processionary Moth with Landsat and UAV Imagery. Sensors (Basel, Switzerland), 18(10), 3278. doi:10.3390/s18103278 https://www.mdpi.com/1424-8220/18/10/3278 […]
Pla, M.; Duane, A.; Brotons, L. (2017). Potencial de las imágenes UAV como datos de verdad terreno para la clasificación de la severidad de quema de imágenes Landsat: aproximaciones a […]
Cardil, A.; Vepakomma, U.; Brotons, L. Assessing Pine Processionary Moth Defoliation Using Unmanned Aerial Systems. Forests 2017, 8, 402 https://www.mdpi.com/1999-4907/8/10/402 Pine processionary moth (PPM) is one of the most destructive insect defoliators in […]