Investigating the Identification and Spatial Distribution Characteristics of <i>Camellia oleifera</i> Plantations Using High-Resolution Imagery

<i>Camellia oleifera</i> is a vital economic crop of southern China. Accurate mapping and monitoring of <i>Camellia oleifera</i> plantations are essential for promoting sustainable operations within the <i>Camellia oleifera</i> industry. However, traditional remote sensing interpretation methods are...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Yajing Li, Enping Yan, Jiawei Jiang, Dan Cao, Dengkui Mo
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-11-01
Serie:	Remote Sensing
Soggetti:	<i>Camellia oleifera</i> plantation mapping deep learning high-resolution remote sensing spatial feature analysis
Accesso online:	https://www.mdpi.com/2072-4292/15/21/5218
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!