Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia.
- DOI
- 10.7717/peerj.7841
- Published
- 2019
- Container
- PeerJ
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.7717/peerj.7841,
title = {Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia.},
author = {Singh M and Evans D and Chevance JB and Tan BS and Wiggins N and Kong L and Sakhoeun S},
year = {2019},
journal = {PeerJ},
doi = {10.7717/peerj.7841},
url = {https://doi.org/10.7717/peerj.7841}
}RIS
TY - JOUR TI - Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia. AU - Singh M AU - Evans D AU - Chevance JB AU - Tan BS AU - Wiggins N AU - Kong L AU - Sakhoeun S PY - 2019 JO - PeerJ DO - 10.7717/peerj.7841 UR - https://doi.org/10.7717/peerj.7841 ER -
APA
M, S., D, E., JB, C., BS, T., N, W., L, K., & S, S. (2019). Evaluating remote sensing datasets and machine learning algorithms for mapping plantations and successional forests in Phnom Kulen National Park of Cambodia.. PeerJ. https://doi.org/10.7717/peerj.7841
Source records
- pubmed · retrieved 2026-09-26T10:28:14.471Z