Extraction of Sparse Vegetation Cover in Deserts Based on UAV Remote Sensing

Extraction of Sparse Vegetation Cover in Deserts Based on UAV Remote Sensing

The unique characteristics of desert vegetation, such as different leaf morphology, discrete canopy structures, sparse and uneven distribution, etc., pose significant challenges for remote sensing-based estimation of fractional vegetation cover (FVC). The Unmanned Aerial Vehicle (UAV) system can acc...

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Bibliographic Details
Main Authors: Jie Han, Jinlei Zhu, Xiaoming Cao, Lei Xi, Zhao Qi, Yongxin Li, Xingyu Wang, Jiaxiu Zou
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Series:Remote Sensing
Subjects:
Unmanned Aerial Vehicle (UAV)
sparse vegetation
vegetation index
Fractional Vegetation Cover (FVC)
Machine Learning (ML)
Online Access:https://www.mdpi.com/2072-4292/17/15/2665
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