Development of Semantic Maps of Vegetation Cover from UAV Images to Support Planning and Management in Fine-Grained Fire-Prone Landscapes

In Mediterranean landscapes, the encroachment of pyrophytic shrubs is a driver of more frequent and larger wildfires. The high-resolution mapping of vegetation cover is essential for sustainable land planning and the management for wildfire prevention. Here, we propose methods to simplify and automa...

詳細記述

書誌詳細

出版年:	Remote Sensing
主要な著者:	Bianka Trenčanová, Vânia Proença, Alexandre Bernardino
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-03-01
主題:	U-Net convolutional neural network (CNN) shrub detection heterogeneous land cover mapping UAV imagery Mediterranean forest
オンライン･アクセス:	https://www.mdpi.com/2072-4292/14/5/1262