Using the random forest algorithm to integrate hydroacoustic data with satellite images to improve the mapping of shallow nearshore benthic features in a marine protected area in Jamaica
- DOI
- 10.1080/15481603.2019.1613803
- Published
- 2019-05-06
- Container
- GIScience & Remote Sensing
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/15481603.2019.1613803,
title = {Using the random forest algorithm to integrate hydroacoustic data with satellite images to improve the mapping of shallow nearshore benthic features in a marine protected area in Jamaica},
author = {Kurt McLaren and Karen McIntyre and Kurt Prospere},
year = {2019},
journal = {GIScience \& Remote Sensing},
doi = {10.1080/15481603.2019.1613803},
url = {https://doi.org/10.1080/15481603.2019.1613803}
}RIS
TY - JOUR TI - Using the random forest algorithm to integrate hydroacoustic data with satellite images to improve the mapping of shallow nearshore benthic features in a marine protected area in Jamaica AU - Kurt McLaren AU - Karen McIntyre AU - Kurt Prospere PY - 2019 JO - GIScience & Remote Sensing DO - 10.1080/15481603.2019.1613803 UR - https://doi.org/10.1080/15481603.2019.1613803 ER -
APA
McLaren, K., McIntyre, K., & Prospere, K. (2019). Using the random forest algorithm to integrate hydroacoustic data with satellite images to improve the mapping of shallow nearshore benthic features in a marine protected area in Jamaica. GIScience & Remote Sensing. https://doi.org/10.1080/15481603.2019.1613803
Source records
- crossref · retrieved 2026-09-25T18:39:25.358Z