Nearshore Substrate Mapping Change Analysis using Multispectral Imagery, California South Coast MPA Baseline Study, 2011 to 2012
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. 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
Data files
Data title and description | Access data | File details | Last updated |
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Data package for Intertidal Change Detection analysis 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 - Anacapa 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Catalina Island East 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Catalina Island North 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Catalina Island West 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Coal Oil Point 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Dana Point 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Encinitas and La Jolla 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Imperial Beach 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – La Jolla and Point Loma 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Point Conception 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Point Dume 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Point Vicente 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – San Miguel Island 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Santa Cruz Island North East 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Santa Cruz Island North 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Santa Cruz Island South 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Santa Barbara Island 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Santa Rosa Island North 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. 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 | Download | ZIP | 01/16/19 |
Intertidal and Kelp Classification Map 2012 – Santa Rosa Island South 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. 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 | Download | ZIP | 01/16/19 |
Supporting files
Data title and description | Access data | File details | Last updated |
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Final Report Nearshore Substrate Mapping Change Analysis Using Historical and Contemporary Multispectral Aerial Imagery South coast baseline (phase I) marine protected area (MPA) final report Nearshore Substrate Mapping Change Analysis Using Historical and Contemporary Multispectral Aerial Imagery. This project and report were completed in fulfillment of CA Sea Grant R/MPA-30. | PDF | 01/16/19 | |
Survey Sites Table of coordinates defining Ocean Imaging aerial data product coverage areas and MPAs | XLSX | 01/16/19 | |
Intertidal Coverage Area Change 2002 - 2012 Summary of change in intertidal area in southern California 2002 to 2012 | PDF | 01/16/19 | |
Intertidal Classification Summary by Region Summary of area and percent cover of various intertidal categories by region | PDF | 01/16/19 | |
Intertidal Classification Summary by MPA Summary of area and percent cover of various intertidal categories by MPA | PDF | 01/16/19 | |
SANDAG Habitat Mapping - Ocean Imaging Processing - Metadata Ocean Imaging Processing Sections for Thales report for SANDAG Habitat Mapping | PDF | 01/16/19 | |
Microsoft Vexcel Ultra Cam X - Metadata Technical information about the ULTRACAMX, THE LARGE FORMAT DIGITAL AERIAL CAMERA SYSTEM BY VEXCEL IMAGING / MICROSOFT | PDF | 01/16/19 | |
Yearly Kelp Coverage Area by MPA Summary table of yearly kelp coverage area by MPA for years 1999, 2002 - 2006, 2008 - 2012 in southern California MPAs | PDF | 01/16/19 | |
Yearly Kelp Coverage Area by Region Summary table of yearly kelp coverage area by regions for years 1999, 2002 - 2006, 2008 - 2012 in southern California. | PDF | 01/16/19 | |
Intertidal and Kelp Classification Geotiff 2012 - Anacapa This raster dataset contains a habitat classification of either offshore giant kelp beds and/or the intertidal zone along the California South Coast Region (SCR) from from Point Conception, CA down to Imperial beach, CA. This specific raster classification includes the Anacapa Island SMCA and Anacapa Island SMR. | GEOTIFF | 01/16/19 |