Projecte 1
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Plataformes
2 x DJI Phantom 3 Advanced
Sensors
Camara RGP F/2.8 94º Parrot Sequioa Multiespectral
Calibrating the Severity of Forest Defoliation by Pine Processionary Moth with Landsat and UAV Imagery
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 […]
Potential of UAV images as ground-truth data for burn severity classification of Landsat imagery: approaches to an useful product for post-fire management
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 […]
Assessing Pine Processionary Moth Defoliation Using Unmanned Aerial Systems
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 […]
Ciència Ciutadana
Comença la campanya de @AlertaForestal de la processionària d’enguany amb 2 objectius: arribar a més comarques i aconseguir més de 400 observacions Link
Article Inforest
Nou article! Calibrating the Severity of Forest Defoliation by Pine Processionary Moth with Landsat and UAV Imagery Link
Nova Web
La JRU InForest CTFC-CREAF ja té un nou web! Si creieu que hi falta alguna cosa, no dubteu en fer-nos-ho saber a inforest@ctfc.cat