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

Kurt McLaren; Karen McIntyre; Kurt Prospere

doi:10.1080/15481603.2019.1613803

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

Kurt McLaren, Karen McIntyre, Kurt Prospere

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Original language	English
Pages (from-to)	1065-1092
Journal	GIScience and Remote Sensing
Volume	56
Issue number	7
Early online date	6 May 2019
DOIs	https://doi.org/10.1080/15481603.2019.1613803
Publication status	Published - 3 Oct 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

interpolation
echosounders
object-based image analysis
pixel-based image analysis
Caribbean

Access to Document

10.1080/15481603.2019.1613803

Cite this

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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",

keywords = "interpolation, echosounders, object-based image analysis, pixel-based image analysis, Caribbean",

author = "Kurt McLaren and Karen McIntyre and Kurt Prospere",

year = "2019",

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doi = "10.1080/15481603.2019.1613803",

language = "English",

volume = "56",

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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. / McLaren, Kurt; McIntyre, Karen; Prospere, Kurt.
In: GIScience and Remote Sensing, Vol. 56, No. 7, 03.10.2019, p. 1065-1092.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - 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 - McLaren, Kurt

AU - McIntyre, Karen

AU - Prospere, Kurt

PY - 2019/10/3

Y1 - 2019/10/3

KW - interpolation

KW - echosounders

KW - object-based image analysis

KW - pixel-based image analysis

KW - Caribbean

UR - https://www.scopus.com/pages/publications/85065400926

U2 - 10.1080/15481603.2019.1613803

DO - 10.1080/15481603.2019.1613803

M3 - Article

SN - 1548-1603

VL - 56

SP - 1065

EP - 1092

JO - GIScience and Remote Sensing

JF - GIScience and Remote Sensing

IS - 7

ER -

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

UN SDGs

Keywords

Access to Document

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Cite this