Near Shore Habitat - North Central Coast - 2010 [ds1030]

SDE Raster Dataset

Open this dataset in BIOS
Download this dataset

Tags
California, MPA, Intertidal, ADS40, biota, Ocean Imaging, oceans, MPA Baseline Program, DMSC, Sea Grant, Substrate, Wetlands, Multispectral Imagery, imageryBaseMapsEarthCover, Kelp, Habitat Classification, environment


Summary

[This is an aggregated dataset of the California North Central Coast rasters. The individual North Central Coast rasters were combined together by the California Dept. of Fish and Wildlife(CDFW) for better functionality in BIOS]. ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- This raster dataset was developed for the Sea Grant MPA Baseline Program as part of the project High Resolution Nearshore Substrate Mapping and Persistence with Multispectral Aerial Imagery (#R/MPA17 09-015). The study region is the California North Central Coast (NCC). The imagery used for this habitat classification were collected by Ocean Imaging (OI) and Fugro EarthData. OI acquired this imagery on 03/26/2010 using the Digital Multispectral Camera (DMSC). Details on this system and the data processing are below in the Lineage section of this document. Fugro EarthData acquired the imagery used for this project between 09/22/2010 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. Details on this system and the data processing are also below in the Lineage section of this document. Individual DMSC and ADS40 scenes were mosaicked into sections based on the USGS orthoquads for the California North Central Coast in order to generate the multispectral imagery required to produce the habitat classification thematic maps of the California North Central Coasts intertidal region and kelp beds from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs. More information on the classes resolved and processing methods are in the Lineage section of this document.

Description

This raster dataset contains a habitat classification of either offshore giant kelp beds and/or the intertidal zone along the California North Central Coast region from Pigeon Point up to Point Arena, including select bays and river mouths designated as MPAs.

Credits

Use limitations

TBD by Sea Grant or MPA Baseline Program Managers

Extent

West -123.750350 East -122.370537
North 38.973194 South 37.178485

Scale Range
Maximum (zoomed in) 1:5,000
Minimum (zoomed out) 1:150,000,000

ArcGIS Metadata

Topics and Keywords

Themes or categories of the resource imageryBaseMapsEarthCover, environment, biota, oceans


* Content type Downloadable Data


Theme keywords biota, oceans, imageryBaseMapsEarthCover, environment

Thesaurus
Title ISO 19115 Topic Categories




Theme keywords California, MPA, Intertidal, ADS40, Ocean Imaging, MPA Baseline Program, DMSC, Sea Grant, Substrate, Wetlands, Multispectral Imagery, Kelp, Habitat Classification

Citation

* Title ds1030_20141006
Publication date 2013-04-1700:00:00


Presentation formats digital map
FGDC geospatial presentation format raster digital data


Citation Contacts

Responsible party
Individual's name Mark Hess and Keith Jackson
Organization's name Ocean Imaging
Contact's role point of contact


Contact information
Phone
Voice 303-948-5272
Fax 303-948-2549

Address
Type both
Delivery point 13976 W. Bowles Ave. Ste 100
City Littleton
Administrative area Colorado
Postal code 80127
Country US
e-mail address mhess@oceani.com

Hours of service
9:00 AM - 5:00 PM MST


Resource Details

Dataset languages English(UNITED STATES)
Dataset character set utf8 - 8 bit UCS Transfer Format


Status completed
Spatial representation type * grid


* Processing environment Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552


ArcGIS item properties
* Name ds1030_20141006
* Location Server=; :; Database=; User=; Version=
* Access protocol ArcSDE Connection

Extents

Extent
Geographic extent
Bounding rectangle
West longitude -123.229248
East longitude -123.124961
South latitude 38.436021
North latitude 38.500191

Extent
Geographic extent
Bounding rectangle
Extent type Extent used for searching
* West longitude -123.750350
* East longitude -122.370537
* North latitude 38.973194
* South latitude 37.178485
* Extent contains the resource Yes

Extent in the item's coordinate system
* West longitude -13775825.912678
* East longitude -13622225.912678
* South latitude 4464014.601175
* North latitude 4717832.601175
* Extent contains the resource Yes

Resource Maintenance

Resource maintenance
Update frequency not planned


Resource Constraints

Constraints
Limitations of use

TBD by Sea Grant or MPA Baseline Program Managers


Spatial Reference

ArcGIS coordinate system
* Type Projected
* Geographic coordinate reference GCS_WGS_1984
* Projection WGS_1984_Web_Mercator_Auxiliary_Sphere
* Coordinate reference details
Projected coordinate system
Well-known identifier 102100
X origin -20037700
Y origin -30241100
XY scale 148923141.92838538
Z origin -100000
Z scale 10000
M origin -100000
M scale 10000
XY tolerance 0.001
Z tolerance 0.00020000000000000001
M tolerance 0.00020000000000000001
High precision true
Latest well-known identifier 3857
Well-known text PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]

Reference system identifier
* Value 3857
* Codespace EPSG
* Version 8.2.6


Spatial Data Properties

Georectified Grid
Axis dimensions properties
Dimension type row (y-axis)

Axis dimensions properties
Dimension type column (x-axis)



Vector
Geometric objects
Object type composite
Object count 14



Spatial Data Content

Image Description
Band information

Data Quality

Lineage

Lineage statement
This habitat classification product was created using the ESRI ArcGIS 10.0 and 10.1 Geoprocessing tools. Depending on the target region and habitat types, both supervised Maximum Likelihood and unsupervised Iso Cluster classification techniques were used. When available, the higher resolution ADS40 imagery was resampled to 1 meter and combined with the DMSC data to improve the precision and accuracy of the final thematic map product. Fugro also collected Light Detection and Ranging (LIDAR) data at the same time and these were also made available to OI for this project. The LIDAR data set (providing high resolution topographical data of the intertidal zone) proved to be extremely useful when applied to the processing for two specific purposes: 1) To maximize the efficiency and substrate class resolving power of the multispectral classification algorithms, it is best (and sometimes necessary) to first isolate the intertidal zone (i.e. the area of interest) from the many multispectral signature terrestrial targets further inland. Prior to this project, no very high resolution (i.e. around 1-2 meters) shoreline data base existed that could be used as an accurate cutoff boundary between the intertidal and terrestrial habitats. NOAAs and USGS shoreline data bases have spatial resolutions far too inadequate for this work, and do not conform to a suitable intertidal vs. terrestrial cutoff. The Fugro LIDAR data have 1m horizontal resolution and 9.25cm vertical RMS accuracy. Ocean Imaging staff utilized the multispectral imagery and field photos to identify (as best as possible based on vegetation and ground substrate type) the upper limit of the intertidal zone within each shoreline section, then matched these determinations within the LIDAR data set to create a novel, high resolution coastline boundary. This boundary was then used to isolate the region of interest for the multispectral classification. Additionally, the LIDAR data were used to subdivide the intertidal zone into several subzones that were classified separately which further increased the accuracy of the final classification product. Field data and photographs were further utilized to create training sets used in the supervised classification procedure for each subzone. Each subzone classification was then manually edited in order to ensure the highest accuracy product possible and then mosaicked together into USGS orthoquad regions for delivery. The habitat classes this process was able confidently identify and map using the DMSC and ADS40 imagery were: 1- Whitewash/Undefined 2- Water 3- Sandy Beach 4- Mixed Red/Brown Algae 5- Tidepool/Shadow 6- Terrestrial Vegetation 7- Unvegetated Rock 8- Wrack 9- Kelp/Brown Algae 10- Blue-Green Algae 11- Cobble 12- Man-made 13- Driftwood 14- Surf Grass 15- Unknown Aquatic Vegetation 16- Eel Grass 17- Salt Marsh Vegetation 18- Submerged Aquatic Vegetation 19- Mud Flat 20- Green Algae Final classification product files have been delivered to Sea Grant and OceanSpaces in both ERDAS Imagine (.img) and ESRI shapefile formats. ESRI Layer (.lyr) files are available with the shapefiles which provide information on classes. Additional information about the imagery used to create this classification is in the Data Source and Process Step sections below.
Process step
Description
DMSC Data Processing: Upon completion of each flight, image data were downloaded from the DMSC onto an in-house computer hard drive and back-up copies were burned on DVD's. Pre-processing included a two-step procedure to eliminate slight band-to-band misalignment. This was done using customized software to first compute an overall x-y direction shift of bands 1, 3 and 4 relative to band 2. Each of the 4-band shifted image frames was then run through a Fast Fourier Transform (FFT)-based pattern recognition routine, which tiles the image into 80 pixel sections and computes a secondary, regional pixel shift on each band. Image Georeferencing/Mosaicking: The pre-processed imagery was then run through an in house customized software package to auto-georeference each of the pre-processed frames based off of the DGPS time stamp from the DMSC and the time stamp from the IMU. Once auto-georeferenced, frames were manually adjusted (shifted and or rotated) where needed. Adjusted frames were then mosaicked into USGS orthoquad regions for more efficient classification and data management using ERDAS Imagine. Mosaicked imagery was then used to generate the habitat classification products. Final image mosaic files have been delivered to Sea Grant and Ocean Spaces in both ERDAS Imagine (.img) and GeoTif (.tif) formats.




Source data
Description
Ocean Imaging (OI) owns and operates a 4-channel aerial imaging sensor - the DMSC - manufactured by SpecTerra, LTD in Australia. The unit incorporates 4 synchronized, progressive scan 1024x1024 CCD cameras with spectral range capability from 350-990nm. Data is captured in 12-bit format. The unit is integrated with a DGPS for synchronous frame location logging. The channel wavelengths are customized by the use of narrow-band (10-20nm) interference filters. Spectral sensitivity is also customizable through software controlled shutter speed. The DMSC is a portable system suitable for mounting on a variety of aircraft. It acquires successive image frames at a rate automatically computed from the DGPS-derived ground speed and user-specified frame-to-frame overlap margin. OI also owns and Inertial Movement Unit (IMU) which collects precise location, altitude, roll, pitch and heading of the DMSC. The IMU was run in tandem during image collection and data collected will be used in the post-processing of the imagery. OI used a filter combination of 451-551-710-850 nm Data Acquisition: Imagery for the Central-Northern California coast was acquired on 03/26/2010 at an altitude of 6500 feet with 60% scene overlap resulting in an initial ground sampling distance of 0.93 meters. Imagery was acquired from a Cessna 206 aircraft by Ocean Imaging staff. Ocean Imaging (OOI) acquired 4-banded, multispectral Orthoimagery from Fugro EarthDatas ( http://www.fugroearthdata.com/index.php) Leica ADS40-SH52 digital camera system. The ADS40 is a 12 CCD pushbroom sensor with a raw camera resolution of 3,000 x 2,000 pixels for the multispectral data. It utilizes 4 panchromatic CCD: 27 degrees forward view, 16 degrees backward view, two nadiral views with an overlapping of 3,25 microns and 2 x 4 multispectral CCD (red, green, blue and near infrared RGB-NIR), with both a nadiral and 16 degree backward views. There are five spectral channels measuring simultaneously: panchromatic, red ( = [590 675]nm), green ( = [500 650]nm), blue ( = [400 580]nm) and near infrared ( = [675 850]nm). The RGB-NIR bands were used for this project. Fugro EarthData acquired the imagery used for this project between 09/22/2010 09/23/2010 and delivered fully georeferenced and orthorectified, 12-bit imagery with a spatial resolution of 0.30 meters to OI in 2011. The initial imagery products received from Fugro were mosaicked into 1500x1500 meter tiled imagery along the California coast. OI subsequently mosaicked the ADS40 data into USGS orthoquad regions for more efficient classification and data management using ERDAS Imagine. Mosaicked imagery was then used to generate the habitat classification products. Final image mosaic files have been delivered to Sea Grant and Ocean Spaces in both ERDAS Imagine (.img) and GeoTif (.tif) formats.




Source data
Description
MPAs Contained in USGS Orthoquad Regions: Point Arena Quad contains: Point Arena SMCA and Point Arena SMR; Saunders Reef Quad contains: Saunders Reef SMCA; Stewarts Point Quad contains: Del Mar Landing SMR and Stewarts Point SMR; Plantation Quad contains: Stewarts Point SMR and Salt Point SMP; Arched Rock Quad contains: Russian River SMCA and Russian River SMR; Duncans Mills Quad contains: Russian River SMR; Bodega Head Quad contains: Bodega Head SMR, Bodega Head SMCA and Estero Americano SMRMA; Valley Ford Quad contains: Estero Americano SMRMA and Estero de San Antonio SMRMA; Drakes Bay Quad contains: Drakes Estero SMCA, Estero de Limantour SMR, Point Reyes SMR and Point Reyes SMCA; Bolinas Quad contains: Duxbury SMP; Montara Mountain Quad contains: Montara SMR; Half Moon Bay Quad contains: Pillar Point SMCA.




Geoprocessing history

Process
Process name
Date 2014-10-2208:29:01
Tool location c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\CopyRaster
Command issued
Include in lineage when exporting metadata No


Distribution

Distribution format
* Name SDE Raster Dataset


Transfer options
Online source
Location http://bios.dfg.ca.gov/
Function performed information

Online source
Location ftp://ftp.dfg.ca.gov/BDB/GIS/BIOS/Public_Datasets/1000_1099/ds1030.zip
Function performed download

Fields

Details for object SDE_VAT_123
* Type Table
* Row count 20


Field OBJECTID
* Alias OBJECTID
* Data type OID
* Width 4
* Precision 10
* Scale 0
* Field description
Internal feature number.
* Description source
Esri
* Description of values
Sequential unique whole numbers that are automatically generated.




Field Value
* Alias Value
* Data type Integer
* Width 4
* Precision 10
* Scale 0
Field description
habitat classification
List of values
Value 1
Description Whitewash/Undefined


Value 2
Description Water


Value 3
Description Sandy Beach


Value 4
Description Mixed Red/Brown Algae


Value 5
Description Tidepool/Shadow


Value 6
Description Terrestrial Vegetation


Value 7
Description Unvegetated Rock


Value 8
Description Wrack


Value 9
Description Kelp/Brown Algae


Value 10
Description Blue-Green Algae


Value 11
Description Cobble


Value 12
Description Man-made


Value 13
Description Driftwood


Value 14
Description Surf Grass


Value 15
Description Unknown Aquatic Vegetation


Value 16
Description Eel Grass


Value 17
Description Salt Marsh Vegetation


Value 18
Description Submerged Aquatic Vegetation


Value 19
Description Mud Flat


Value 20
Description Green Algae




Field Count_
* Alias Count_
* Data type Double
* Width 8
* Precision 38
* Scale 8






Metadata Details

Metadata language English(UNITED STATES)
Metadata character set utf8 - 8 bit UCS Transfer Format


Scope of the data described by the metadata dataset
Scope name * dataset


* Last update 2014-11-19


ArcGIS metadata properties
Metadata format ArcGIS1.0
Metadata style FGDC CSDGM Metadata
Standard or profile used to edit metadata FGDC


Created in ArcGIS for the item 2014-10-2010:01:51
Last modified in ArcGIS for the item 2014-11-1914:58:01


Automatic updates
Have been performed Yes
Last update 2014-11-1914:58:01


Metadata Contacts

Metadata contact
Individual's name Mark Hess and Keith Jackson
Organization's name Ocean Imaging
Contact's role point of contact


Contact information
Phone
Voice 303-948-5272
Fax 303-948-2549

Address
Type postal
Delivery point 13976 W. Bowles Ave. Ste 100
City Littleton
Administrative area Colorado
Postal code 80127
Country US
e-mail address mhess@oceani.com

Hours of service
9:00 AM - 5:00 PM MST


Metadata Maintenance

Maintenance
Update frequency not planned


Metadata Constraints

Constraints
Limitations of use

TBD by Sea Grant or MPA Baseline Program Managers


Thumbnail and Enclosures