Mapping Data of Eelgrass (Zostera marina) Distribution, Baja California, Mexico

Identification_Information:

Citation:

Citation_Information:

Originator: Ward, David H. (ORCID: 0000-0002-5242-2526)
Originator: Hogrefe, Kyle R.
Publication_Date: 20220627
Title:

Geospatial_Data_Presentation_Form: vector digital data, tabular digital data
Series_Information:

Series_Name:

Mapping Data of Eelgrass (Zostera marina) Distribution, Alaska and Baja California, Mexico

Issue_Identification: .

Publication_Information:

Publication_Place: Anchorage, Alaska
Publisher: U.S. Geological Survey, Alaska Science Center

Other_Citation_Details:

Suggested Citation: Ward, D.H., Hogrefe, K.R. 2022. Mapping data of eelgrass (Zostera marina) distribution, Alaska and Baja California, Mexico: U.S. Geological Survey data release, https://doi.org/10.5066/P9WEK4JI

Online_Linkage: https://doi.org/10.5066/P9WEK4JI
Larger_Work_Citation:

Citation_Information:

Originator: U.S. Geological Survey, Alaska Science Center
Publication_Date: 2009
Title: Population Ecology of Waterfowl and Loons
Geospatial_Data_Presentation_Form: website
Series_Information:

Series_Name: Alaska Science Portal
Issue_Identification: 377

Publication_Information:

Publication_Place: Anchorage, Alaska
Publisher: U.S. Geological Survey, Alaska Science Center

Other_Citation_Details:

This is a link to the broader USGS Alaska Science Center research project supported by these data. Users will find a description of the research project and links to associated reports, publications, and data products.

Online_Linkage: https://alaska.usgs.gov/portal/project.php?project_id=377

Description:

Abstract:

Provided here are three vector geospatial datasets that characterize the distribution of (1) eelgrass (Zostera marina), (2) salt marshes, and (3) mangroves in three bays along the west coast of the Baja California Peninsula, Mexico (Bahia San Quintin, Laguna Ojo de Liebre, and Laguna San Ignacio). These data were derived from satellite imagery (Landsat 5 TM) acquired on three different days (1992-09-05, 1999-03-24, 2000-05-11). After pre-processing, imagery was classified into land cover categories. The habitat distribution data were then extracted from the raster grid and converted to vector data.

Purpose:

Coastal waters along the Baja California Peninsula contain extensive beds of seagrass (eelgrass: Zostera marina and widgeongrass: Ruppia marina), but the status and trends of distribution are unknown. This dataset provides baseline information on the spatial extent and distribution of seagrass, salt marshes, and mangroves in Bahia San Quintin, Laguna Ojo de Liebre, and Laguna San Ignacio enabling a monitoring program for these coastal habitats that support many species including waterfowl.

Supplemental_Information:

The creation of this dataset was a collaborative effort between the U.S. Geological Survey, Ducks Unlimited de Mexico, and the U.S Fish and Wildlife Service.

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 1992
Ending_Date: 2000

Currentness_Reference: observed

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Description_of_Geographic_Extent: Coastal areas along the Baja California Peninsula, Mexico
Bounding_Coordinates:

West_Bounding_Coordinate: -166.4
East_Bounding_Coordinate: -116.1
North_Bounding_Coordinate: 30.5
South_Bounding_Coordinate: 26.3

Keywords:

Theme:

Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:ASC453

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: Biota
Theme_Keyword: Environment

Theme:

Theme_Keyword_Thesaurus: NASA GCMD Earth Science Keyword Thesaurus
Theme_Keyword: Angiosperms (flowering plants)
Theme_Keyword: Monocots
Theme_Keyword: Seagrass
Theme_Keyword: Macroalgae (seaweeds)
Theme_Keyword: Animals/Invertebrates
Theme_Keyword: Marine environment monitoring

Theme:

Theme_Keyword_Thesaurus: USGS CSA Biocomplexity Thesaurus
Theme_Keyword: Marine ecosystems
Theme_Keyword: Coastal ecosystems
Theme_Keyword: Estuarine ecosystems
Theme_Keyword: Seagrass beds

Theme:

Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: Field inventory and monitoring
Theme_Keyword: Animal and plant census
Theme_Keyword: Remote sensing

Theme:

Theme_Keyword_Thesaurus: None
Theme_Keyword: Eelgrass
Theme_Keyword: Zostera marina
Theme_Keyword: Widgeongrass
Theme_Keyword: Ruppia marina

Place:

Place_Keyword_Thesaurus: NGA GEOnet Names Server
Place_Keyword: Mexico
Place_Keyword: Baja California
Place_Keyword: Baja California Sur
Place_Keyword: Bahía San Quintín
Place_Keyword: Laguna Ojo de Liebre
Place_Keyword: Laguna San Ignacio

Taxonomy:

Keywords/Taxon:

Taxonomic_Keyword_Thesaurus: None
Taxonomic_Keywords: Seagrass
Taxonomic_Keywords: Eelgrass
Taxonomic_Keywords: Zostera marina
Taxonomic_Keywords: Widgeongrass
Taxonomic_Keywords: Ruppia marina

Taxonomic_System:

Classification_System/Authority:

Classification_System_Citation:

Citation_Information:

Originator: ITIS Integrated Taxonomic Information System
Publication_Date: Unknown
Title: ITIS Integrated Taxonomic Information System
Geospatial_Data_Presentation_Form: online database
Publication_Information:

Publication_Place: online
Publisher: ITIS-North America

Other_Citation_Details:

Taxonomic details retrieved May 11,2022, from the Integrated Taxonomic Information System online database https://www.itis.gov

Online_Linkage: https://www.itis.gov

Taxonomic_Procedures:

Species were identified by trained observers in the field using physical characteristics.

Taxonomic_Classification:

Taxon_Rank_Name: Kingdom
Taxon_Rank_Value: Plantae
Taxonomic_Classification:

Taxon_Rank_Name: Subkingdom
Taxon_Rank_Value: Viridiplantae
Taxonomic_Classification:

Taxon_Rank_Name: Infrakingdom
Taxon_Rank_Value: Streptophyta
Taxonomic_Classification:

Taxon_Rank_Name: Superdivision
Taxon_Rank_Value: Embryophyta
Taxonomic_Classification:

Taxon_Rank_Name: Division
Taxon_Rank_Value: Tracheophyta
Taxonomic_Classification:

Taxon_Rank_Name: Subdivision
Taxon_Rank_Value: Spermatophytina
Taxonomic_Classification:

Taxon_Rank_Name: Class
Taxon_Rank_Value: Magnoliopsida
Taxonomic_Classification:

Taxon_Rank_Name: Superorder
Taxon_Rank_Value: Lilianae
Taxonomic_Classification:

Taxon_Rank_Name: Order
Taxon_Rank_Value: Alismatales
Taxonomic_Classification:

Taxon_Rank_Name: Family
Taxon_Rank_Value: Zosteraceae
Taxonomic_Classification:

Taxon_Rank_Name: Genus
Taxon_Rank_Value: Zostera
Taxonomic_Classification:

Taxon_Rank_Name: Species
Taxon_Rank_Value: Zostera marina
Applicable_Common_Name: TSN: 39074

Taxonomic_Classification:

Taxon_Rank_Name: Family
Taxon_Rank_Value: Ruppiaceae
Taxonomic_Classification:

Taxon_Rank_Name: Genus
Taxon_Rank_Value: Ruppia
Taxonomic_Classification:

Taxon_Rank_Name: Species
Taxon_Rank_Value: Ruppia maritima
Applicable_Common_Name: TSN: 39063

Access_Constraints: None
Use_Constraints:

It is requested that the authors and the USGS Alaska Science Center be cited for any subsequent publications that reference this dataset.

Point_of_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: U.S. Geological Survey, Alaska Science Center

Contact_Address:

Address_Type: Mailing and Physical
Address: 4210 University Drive
City: Anchorage
State_or_Province: Alaska
Postal_Code: 99508
Country: USA

Contact_Voice_Telephone: 907-786-7000
Contact_Electronic_Mail_Address: ascweb@usgs.gov

Cross_Reference:

Citation_Information:

Originator: Hogrefe, K.R.
Originator: Ward, D.H.
Originator: Donnelly, T.F.
Originator: Dau, N.
Publication_Date: 2014
Title:

Establishing a Baseline for Regional Scale Monitoring of Eelgrass (Zostera marina) Habitat on the Lower Alaska Peninsula

Geospatial_Data_Presentation_Form: journal article
Series_Information:

Series_Name: Remote Sensing
Issue_Identification: 6(12):12447-12477

Publication_Information:

Publication_Place: online
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

Other_Citation_Details:

Hogrefe, K.R., Ward, D.H., Donnelly, T.F., Dau, N. 2014. Establishing a baseline for regional scale monitoring of eelgrass (Zostera marina) habitat on the lower Alaska Peninsula. Remote Sensing 6(12):12447-12477 doi:10.3390/rs61212447

Online_Linkage: https://doi.org/10.3390/rs61212447

Cross_Reference:

Citation_Information:

Originator: U.S. Geological Survey, Alaska Science Center
Publication_Date: unknown
Title:

List of Scientific Publications that Eelgrass Mapping Data from the USGS Alaska Science Center

Geospatial_Data_Presentation_Form: journal articles
Other_Citation_Details:

A full list of scientific publications that utilize eelgrass mapping data from the USGS Alaska Science Center is included with this data package, in the file "README_published_scientific_articles.pdf"

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

Using Landsat imagery and the process steps provided below, we were able to differentiate eelgrass from other cover types with an overall accuracy of 70-79%. See Ward et al. 2022 for details on accuracy assessment.

Logical_Consistency_Report: Attribute values fall within expected ranges.
Completeness_Report:

Data set is considered complete for the information presented, as described in the abstract.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

Imagery from the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) sensor series provided multispectral data at 30 m spatial resolution (Hogrefe et al 2014).

Lineage:

Methodology:

Methodology_Type: Field
Methodology_Description:

Ground-truth data were collected during field surveys and are reported in a separate U.S. Geological Survey data releases (Ward 2022). Ground-truth data were collected at numerous points in bays over 9 to 19-day periods in late fall and early winter of 1998, 1999, 2005, and 2012 at 3 sites: Bahia San Quintin, Laguna Ojo de Liebre, and Laguna San Ignacio.

In short, survey points were distributed across each of these embayments using a systematic design and accessed points by boat using a global positioning system (GPS) unit. Points were sampled by snorkeling in dry suits during high tide. At each point, substrate type and depth and percent cover of eelgrass and seaweeds were estimated within four 0.25 square meters quadrats.

We used the survey points to guide selection of training polygons for each classification category (Ozesmi and Bauer, 2002). This approach enabled the selection of training data across thousands of pixels in each of the images, greatly improving the accuracy of the classifications.

Source_Information:

Source_Citation:

Citation_Information:

Originator: Hogrefe, K.R.
Originator: Ward, D.H.
Originator: Donnelly, T.F.
Originator: Dau, N.
Publication_Date: 2014
Title:

Establishing a Baseline for Regional Scale Monitoring of Eelgrass (Zostera marina) Habitat on the Lower Alaska Peninsula

Geospatial_Data_Presentation_Form: journal article
Series_Information:

Series_Name: Remote Sensing
Issue_Identification: 6(12):12447-12477

Publication_Information:

Publication_Place: online
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

Other_Citation_Details:

Online_Linkage: https://doi.org/10.3390/rs61212447

Type_of_Source_Media: publication
Source_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 2014

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: Hogrefe et al 2014
Source_Contribution:

Describes techniques to identify eelgrass and seaweeds from satellite imagery

Source_Information:

Source_Citation:

Citation_Information:

Originator: Ozesmi, S.L.
Originator: Bauer, M.E.
Publication_Date: 2002
Title: Satellite Remote Sensing of Wetlands
Geospatial_Data_Presentation_Form: journal article
Series_Information:

Series_Name: Wetlands Ecology and Management
Issue_Identification: 10(5):381–402

Publication_Information:

Publication_Place: online
Publisher: Springer Nature

Other_Citation_Details:

Ozesmi, S.L., Bauer, M.E. 2002. Satellite remote sensing of wetlands. Wetlands Ecology and Management 10(5):381–402 doi:10.1023/A:1020908432489

Online_Linkage: https://doi.org/10.1023/A:1020908432489

Type_of_Source_Media: publication
Source_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 2002

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: Ozesmi and Bauer 2002
Source_Contribution:

Describes techniques used to classify habitats from satellite imagery

Source_Information:

Source_Citation:

Citation_Information:

Originator: Ward, D.H.
Publication_Date: 2022
Title:

Point Sampling Data for Eelgrass (Zostera marina) and Widgeongrass (Ruppia marina) Abundance in Embayments of the North Pacific Coast of Baja California, Mexico, 1998-2012

Geospatial_Data_Presentation_Form: tabular digital data
Series_Information:

Series_Name: USGS Data Release
Issue_Identification: doi:10.5066/P9H4LBP3

Publication_Information:

Publication_Place: online
Publisher: U.S. Geological Survey, Alaska Science Center

Other_Citation_Details:

Ward, D.H. 2022, Point sampling data for eelgrass (Zostera marina) and widgeongrass (Ruppia marina) abundance in embayments of the north Pacific coast of Baja California, Mexico, 1998-2012: U.S. Geological Survey data release, https://doi.org/10.5066/P9H4LBP3

Online_Linkage: https://doi.org/10.5066/P9H4LBP3

Type_of_Source_Media: digital database file
Source_Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: 2022

Source_Currentness_Reference: publication date

Source_Citation_Abbreviation: Ward 2022
Source_Contribution:

Point sampling data of seagrass and seaweeds in waters along the west coast of the Baja California Peninsula, Mexico, used to ground-truth habitat classification.

Source_Information:

Source_Citation:

Citation_Information:

Originator:

U.S. Geological Survey Earth Resources Observation and Science Center (EROS)

Publication_Date: 2013
Title:

Landsat Imagery from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) sensor series

Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:

Publication_Place: Sioux Falls, South Dakota, USA
Publisher:

U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center

Other_Citation_Details:

Downloaded in 2014 from USGS EarthExplorer https://earthexplorer.usgs.gov/

Query parameters and Scene Identifiers for all images used for analysis are provided in the table "remoteImage_identifiers_baja_ward.csv" included with this data package.

Online_Linkage: https://www.usgs.gov/centers/eros

Type_of_Source_Media: online database
Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 1992
Ending_Date: 2000

Source_Currentness_Reference: observed

Source_Citation_Abbreviation: EROS_Landsat
Source_Contribution:

Landsat satellite imagery acquired between 1992 and 2000, used to classify eelgrass, salt marshes, and mangroves in waters of three bays along the west coast of the Baja California Peninsula, Mexico (Bahia San Quintin, Laguna Ojo de Liebre, and Laguna San Ignacio)

Process_Step:

Process_Description:

These data were derived from satellite imagery (Landsat 5 TM) acquired in March-September 1992-2000 (EROS_Landsat).

Source_Used_Citation_Abbreviation: EROS_Landsat
Process_Date: Unknown

Process_Step:

Process_Description:

Image data were calibrated to at-sensor radiance, corrected for atmospheric path interference, and checked for georeferencing accuracy. The images were corrected for atmospheric interference using dark pixel subtraction.

Source_Used_Citation_Abbreviation: EROS_Landsat
Process_Date: Unknown

Process_Step:

Process_Description:

The imagery was classified into land cover categories of eelgrass, salt marsh, and mangrove. The classification was conducted using a combined Isodata (Unsupervised) / Maximum Likelihood (Supervised) methodology. The Isodata classification was used to identify 35 statistically distinct spectral classes which were then assigned to training classes for subsequent Maximum Likelihood analysis.

Source_Used_Citation_Abbreviation: EROS_Landsat
Process_Date: Unknown

Process_Step:

Process_Description:

Seagrass and seaweed distribution data were extracted from the raster grid and converted to vector data. ENVI 4.8 was used for all imagery processing and analysis while ArcGIS was used for some analysis and map preparation. Details of image acquisition, processing, and interpretation are provided in Hogrefe et al 2014.

Source_Used_Citation_Abbreviation: EROS_Landsat
Process_Date: Unknown

Spatial_Data_Organization_Information:

Indirect_Spatial_Reference:

Location names are local geographic place names of sampling areas and do not describe precise geographic points.

Direct_Spatial_Reference_Method: Vector

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Grid_Coordinate_System:

Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:

UTM_Zone_Number: 12
Transverse_Mercator:

Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -111.0
Latitude_of_Projection_Origin: 0
False_Easting: 500000
False_Northing: 0

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:

Abscissa_Resolution: 1
Ordinate_Resolution: 1

Planar_Distance_Units: meters

Geodetic_Model:

Horizontal_Datum_Name: World Geodetic System of 1984
Ellipsoid_Name: World Geodetic System of 1984
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.257223563

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: remoteImage_identifiers_baja_ward.csv
Entity_Type_Definition:

Table with query parameters and Landsat Scene Identifiers used to access and download each Landsat image analyzed from the USGS EarthExplorer https://earthexplorer.usgs.gov Presented in a Comma Separated Value (CSV) formatted table.

Entity_Type_Definition_Source: Author defined

Attribute:

Attribute_Label: Locations_Analyzed
Attribute_Definition:

Place names of regions on the Baja California Peninsula, Mexico that were analyzed from the Landsat image.

Attribute_Definition_Source: Author defined
Attribute_Domain_Values:

Unrepresentable_Domain:

Place names of regions on the Baja California Peninsula that were analyzed from the Landsat image.

Attribute:

Attribute_Label: Sensor
Attribute_Definition:

Unique identifier of the Landsat satellite and sensor used to acquire the Landsat image.

Attribute_Definition_Source: Author defined
Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: L5-TM
Enumerated_Domain_Value_Definition: Landsat 5 Thematic Mapper
Enumerated_Domain_Value_Definition_Source: EROS_Landsat

Attribute:

Attribute_Label: WRS2_Path
Attribute_Definition:

Worldwide Reference System (WRS-2) 'path' coordinate of Landsat image.

Attribute_Definition_Source: EROS_Landsat
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 36
Range_Domain_Maximum: 39

Attribute:

Attribute_Label: WRS2_Row
Attribute_Definition:

Worldwide Reference System (WRS-2) 'row' coordinate of Landsat image.

Attribute_Definition_Source: EROS_Landsat
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 39
Range_Domain_Maximum: 42

Attribute:

Attribute_Label: Date_Acquired
Attribute_Definition: Date of Landsat image acquisition
Attribute_Definition_Source: Author defined
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1992-09-05
Range_Domain_Maximum: 2000-05-11
Attribute_Units_of_Measure: Date (YYYY-MM-DD)

Attribute:

Attribute_Label: EROS_dataset_name
Attribute_Definition: Name of the dataset in the EROS database
Attribute_Definition_Source: EROS_Landsat
Attribute_Domain_Values:

Unrepresentable_Domain: Name of the dataset in the EROS database.

Attribute:

Attribute_Label: Landsat_Scene_Identifier
Attribute_Definition: Unique identifier for each Landsat image
Attribute_Definition_Source: EROS_Landsat
Attribute_Domain_Values:

Unrepresentable_Domain:

Unique identifier for each Landsat image. A concatenation of satellite ID, sensor, path, row, date, and receiving station.

Attribute:

Attribute_Label: Landsat_Product_Identifier_L1
Attribute_Definition: Unique identifier for each Landsat image
Attribute_Definition_Source: EROS_Landsat
Attribute_Domain_Values:

Unrepresentable_Domain:

Unique identifier for each Landsat image. A concatenation of satellite ID, sensor, path, row, date, and EROS imaging processing.

Detailed_Description:

Entity_Type:

Entity_Type_Label: eelgrass_landsatDerived_baja_ward
Entity_Type_Definition:

Vector polygon geospatial file delineating eelgrass beds in three bays along the west coast of the Baja California Peninsula, Mexico (Bahia San Quintin, Laguna San Ignacio, and Laguna Ojo de Liebre). Eelgrass beds were determined by interpretation of Landsat image data (Hogrefe et al 2014). Presented in both Esri shapefile (SHP) and Keyhole Markup Language (KML) formats. Additionally, a JPG browse map is provided for convenience of viewing.

Entity_Type_Definition_Source: Author defined

Attribute:

Attribute_Label: Id
Attribute_Definition: Sequential numerical identifier of feature assigned by ArGIS
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Unrepresentable_Domain: Sequential numerical identifier of feature

Attribute:

Attribute_Label: grid_code
Attribute_Definition: Raster value from classified raster grid, generated by ArcGIS
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1
Range_Domain_Maximum: 1

Attribute:

Attribute_Label: Location
Attribute_Definition: Name of the bay or connecting section of coastline.
Attribute_Definition_Source: Author defined
Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: Bahia San Quintin
Enumerated_Domain_Value_Definition: Bahia San Quintin, Mexico (approximately 30.42 N, 115.96 W)
Enumerated_Domain_Value_Definition_Source: NGA GEOnet Names Server

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: Laguna Ojo de Liebre
Enumerated_Domain_Value_Definition:

Laguna Ojo de Liebre, Mexico (also known as Scammon Bay; approximately 27.72 N, 114.18 W)

Enumerated_Domain_Value_Definition_Source: NGA GEOnet Names Server

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: Laguna San Ignacio
Enumerated_Domain_Value_Definition: Laguna San Ignacio, Mexico (approximately 26.84 N, 113.18 W)
Enumerated_Domain_Value_Definition_Source: NGA GEOnet Names Server

Attribute:

Attribute_Label: Shape_Length
Attribute_Definition: Length of polygon perimeter in internal units.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 100
Range_Domain_Maximum: 964350

Attribute:

Attribute_Label: Shape_Area
Attribute_Definition: Area of feature in internal units squared.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 625
Range_Domain_Maximum: 129512500

Detailed_Description:

Entity_Type:

Entity_Type_Label: marsh_landsatDerived_baja_ward
Entity_Type_Definition:

Vector polygon geospatial file delineating salt marshes in waters of three bays along the west coast of the Baja California Peninsula, Mexico (Bahia San Quintin, Laguna San Ignacio, and Laguna Ojo de Liebre). Salt marshes were determined by interpretation of Landsat image data (Hogrefe et al 2014). Presented in both Esri shapefile (SHP) and Keyhole Markup Language (KML) formats. Additionally, a JPG browse map is provided for convenience of viewing.

Entity_Type_Definition_Source: Author defined

Attribute:

Attribute_Label: Id
Attribute_Definition: Sequential numerical identifier of feature assigned by ArGIS
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Unrepresentable_Domain: Sequential numerical identifier of feature

Attribute:

Attribute_Label: grid_code
Attribute_Definition: Raster value from classified raster grid, generated by ArcGIS.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1
Range_Domain_Maximum: 1

Attribute:

Attribute_Label: Location
Attribute_Definition: Name of the bay or connecting section of coastline.
Attribute_Definition_Source: Author defined
Attribute_Domain_Values:

Enumerated_Domain:

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: Laguna Ojo de Liebre
Enumerated_Domain_Value_Definition:

Laguna Ojo de Liebre, Mexico (also known as Scammon Bay; approximately 27.72 N, 114.18 W)

Enumerated_Domain_Value_Definition_Source: NGA GEOnet Names Server

Attribute_Domain_Values:

Enumerated_Domain:

Attribute:

Attribute_Label: Shape_Length
Attribute_Definition: Length of polygon perimeter in internal units.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 100
Range_Domain_Maximum: 216800

Attribute:

Attribute_Label: Shape_Area
Attribute_Definition: Area of feature in internal units squared.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 625
Range_Domain_Maximum: 15691875

Detailed_Description:

Entity_Type:

Entity_Type_Label: mangrove_landsatDerived_baja_ward
Entity_Type_Definition:

Vector polygon geospatial file delineating mangroves in waters of three bays along the west coast of the Baja California Peninsula, Mexico (Bahia San Quintin, Laguna San Ignacio, and Laguna Ojo de Liebre). Mangroves were determined by interpretation of Landsat image data (Hogrefe et al 2014). Presented in both Esri shapefile (SHP) and Keyhole Markup Language (KML) formats. Additionally, a JPG browse map is provided for convenience of viewing.

Entity_Type_Definition_Source: Author defined

Attribute:

Attribute_Label: Id
Attribute_Definition: Sequential numerical identifier of feature assigned by ArGIS
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Unrepresentable_Domain: Sequential numerical identifier of feature

Attribute:

Attribute_Label: grid_code
Attribute_Definition: Raster value from classified raster grid, generated by ArcGIS.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 1
Range_Domain_Maximum: 1

Attribute:

Attribute_Label: Location
Attribute_Definition: Name of the bay or connecting section of coastline.
Attribute_Definition_Source: Author defined
Attribute_Domain_Values:

Enumerated_Domain:

Attribute_Domain_Values:

Enumerated_Domain:

Enumerated_Domain_Value: Laguna Ojo de Liebre
Enumerated_Domain_Value_Definition:

Laguna Ojo de Liebre, Mexico (also known as Scammon Bay; approximately 27.72 N, 114.18 W)

Enumerated_Domain_Value_Definition_Source: NGA GEOnet Names Server

Attribute_Domain_Values:

Enumerated_Domain:

Attribute:

Attribute_Label: Shape_Length
Attribute_Definition: Length of polygon perimeter in internal units.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 114
Range_Domain_Maximum: 28443

Attribute:

Attribute_Label: Shape_Area
Attribute_Definition: Area of feature in internal units squared.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 812
Range_Domain_Maximum: 3051623

Mapping Data of Eelgrass (Zostera marina) Distribution, Baja California, Mexico

Metadata: