Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia

This study develops a modelling framework by utilizing multi-sensor imagery for classifying different forest and land use types in the Phnom Kulen National Park (PKNP) in Cambodia. Three remote sensing datasets (Landsat optical data, ALOS L-band data and LiDAR derived Canopy Height Model (CHM)) were...

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Detalles Bibliográficos
Autores principales: Singh, Minerva, Evans, Damian, Chevance, Jean-Baptiste, Tan, Boun Suy, Wiggins, Nicholas, Kong, Leaksmy, Sakhoeun, Sakada
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Biodiversity
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814064/
https://www.ncbi.nlm.nih.gov/pubmed/31660266
http://dx.doi.org/10.7717/peerj.7841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814064/
https://www.ncbi.nlm.nih.gov/pubmed/31660266
http://dx.doi.org/10.7717/peerj.7841

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