Excel · dataset · 2019

Nearshore Substrate Mapping Change Analysis using Multispectral Imagery, California South Coast MPA Baseline Study, 2011 to 2012

Listed in California Open Data

Description

Three remote sensing datasets were utilized to create the final substrate map products: 1) 4-banded imagery collected in June, October and November of 2012 by Keystone Aerial Mapping with its Microsoft UltraCam-X (used for 2012 intertidal and kelp mapping); 2) 4-banded imagery collected in December of 2011 by Ocean Imaging using its DMSC MK II sensor (used for 2011 kelp mapping); 3) Light Detection and Ranging (LiDAR) topographic data collected by Fugro Earth Data in March, 2010.

The LiDAR dataset (providing high resolution topographical data of the intertidal zone) proved to be less useful for intertidal zone delineation than for the North Central California Coast (NCC). This was due to data format issues and some obvious errors in the SCR dataset in the lower intertidal to subtidal zones. However, the LiDAR dataset was used whenever possible.

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Field data and photographs collected for this project between 2013-2014 were also utilized to divide the terrestrial, intertidal and subtidal areas into subzones helping to create subzone-specific training sets used in the supervised classification procedure. Each subzone classification was then manually edited in order to ensure the highest accuracy product possible, and then mosaicked together into subregions of the overall SCR.

The habitat classes this process confidently identified and mapped using the multispectral imagery for the sub/intertidal zones were: 1 - Whitewash/Undefined 2 - Water 3 - Sandy Beach 4 - Mixed Red/Brown Algae 5 - Shadow 6 - Terrestrial Vegetation 7 - Unvegetated Rock 8 - Beach Wrack 9 - Kelp/Brown Algae 10 - Blue-Green Algae 11 - Mixed Rock/Mussels/Barnacles/Anemone 12 - Cobble 13 - Man-made/Artificial 14 - Driftwood 15 - Surf Grass 17 - Eel Grass 21 - Green Algae 22 - Submerged Sandy Bottom 23 - Submerged Rock/Reef 24 - Deep Water

Topics

Stated by source: Natural Resources · Water
From keywords: Earth & Environmental Science · Life Sciences · Ocean & Atmospheric Science
Inferred from text: Imaging 75% · Oceanography 72% · Satellite remote sensing 65%

Provenance · 1 source records, 15 field assertions

Source	Key	Last seen	Raw
California Open Data	fd5eda79-57fe-4001-9bad-75f7b04b55f7	13 d ago	JSON v1

Field	Assertion	Extractor	Evidence
access_level	source · data ca gov	connector:data_ca_gov@1.0.0
concepts[field].anzsrc:group:3708	enrichment · data ca gov	taxonomy-embedding@1.1.0	title+keywords+description (72%)
concepts[field].local:field:earth-environmental	mapping · data ca gov	connector:data_ca_gov@1.0.0
concepts[field].local:field:life-sciences	mapping · data ca gov	connector:data_ca_gov@1.0.0
concepts[field].local:field:ocean-atmospheric	mapping · data ca gov	connector:data_ca_gov@1.0.0
concepts[modality].local:modality:imaging	enrichment · data ca gov	keyword-concept-rules@1.0.0	title+description (75%)
concepts[modality].local:modality:remote-sensing	enrichment · data ca gov	keyword-concept-rules@1.0.0	title+description (65%)
concepts[topic].ckan_group:data_ca_gov:natural-resources	source · data ca gov	connector:data_ca_gov@1.0.0
concepts[topic].ckan_group:data_ca_gov:water	source · data ca gov	connector:data_ca_gov@1.0.0
created_date	source · data ca gov	connector:data_ca_gov@1.0.0
description	source · data ca gov	connector:data_ca_gov@1.0.0	/notes
license_text	source · data ca gov	connector:data_ca_gov@1.0.0
publication_date	source · data ca gov	connector:data_ca_gov@1.0.0
title	source · data ca gov	connector:data_ca_gov@1.0.0	/title
updated_date	source · data ca gov	connector:data_ca_gov@1.0.0

Nearshore Substrate Mapping Change Analysis using Multispectral Imagery, California South Coast MPA Baseline Study, 2011 to 2012

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