Código QR (código de barras bidimensional)

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...

ver descrição completa

Na minha lista:
Principais autores: Jie Han, Jinlei Zhu, Xiaoming Cao, Lei Xi, Zhao Qi, Yongxin Li, Xingyu Wang, Jiaxiu Zou
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-08-01
coleção:Remote Sensing
Assuntos:
Unmanned Aerial Vehicle (UAV)
sparse vegetation
vegetation index
Fractional Vegetation Cover (FVC)
Machine Learning (ML)
Acesso em linha:https://www.mdpi.com/2072-4292/17/15/2665
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados