ULISSE: Parameter-efficient adaptation of earth vision models to monitor forest disturbance in sentinel-2 time series

Europe is one of the most forest-rich regions in the world, with forestry mainly based on the management of coniferous trees. However, the spruce forest ecosystem is vulnerable to several disturbance agents. In particular, bark beetle outbreaks have been the scourge of spruce trees in the last decad...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Vito Recchia, Giuseppina Andresini, Annalisa Appice, Dino Ienco, Giuseppe Fiameni, Donato Malerba
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2026-03-01
Saila:	Ecological Informatics
Gaiak:	Semantic segmentation Remote sensing vision pretrained models Parameter-efficient fine-tuning Sentinel-2 image time series analysis EXplainable artificial intelligence Forest disturbance monitoring
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S1574954126000749
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!