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-Reference-Cited by-同舟云学术

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

Published:2019-05-06 Issue:7 Volume:56 Page:1065-1092
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

McLaren Kurt¹,McIntyre Karen²,Prospere Kurt¹

Affiliation:

1. Department of Life Sciences, University of the West Indies, Mona, Kingston 7, Jamaica

2. Department of Physical Geography and Ecosystem Science, Centre for Geographical Information Systems Lund University, Sölvegatan 12 S-223 62, Lund, Sweden

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2019.1613803

Reference60 articles.

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3. Detecting hot and cold spots in a seagrass landscape using local indicators of spatial association

4. Evaluating the complementarity of acoustic and satellite remote sensing for seagrass landscape mapping

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