Pine wood nematode disease area identification based on multi-temporal multi-source remote sensing images and BIT model

• Published in: Geocarto international Vol. 39; no. 1
• Main Authors: Wang, Degao, Sun, Zhangyu, Huang, Xinxia, Liu, Mingzhong, Zheng, Qingqing, Zhang, Huailiang, Zhang, Guanghe
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 01.01.2024; Taylor & Francis Group
• Subjects: Bursaphelenchus xylophilus; data collection; deep learning; forest management; forests; Pine wood nematode disease; remediation; remote sensing images; transfer learning

Pine wood nematode (PWN) disease is a severe contagious disease in forests which endangers the health of forests, as it can rapidly kill trees. The detection of regions impacted by this disease plays a crucial role in forest management, remediation efforts and ensuring the overall ecological securit...