An Improved Multi-temporal and Multi-feature Tea Plantation Identification Method Using Sentinel-2 Imagery

As tea is an important economic crop in many regions, efficient and accurate methods for remotely identifying tea plantations are essential for the implementation of sustainable tea practices and for periodic monitoring. In this study, we developed and tested a method for tea plantation identificati...

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Detalles Bibliográficos
Autores principales: Zhu, Jun, Pan, Ziwu, Wang, Hang, Huang, Peijie, Sun, Jiulin, Qin, Fen, Liu, Zhenzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540259/
https://www.ncbi.nlm.nih.gov/pubmed/31060327
http://dx.doi.org/10.3390/s19092087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540259/
https://www.ncbi.nlm.nih.gov/pubmed/31060327
http://dx.doi.org/10.3390/s19092087

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