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5,823 results returned

  1. Title: [Wilkes Exploring Expedition maps, 1841]

    Contributors:

    Summary: By the U.S. Ex. Ex., Charles Wilkes, Esqr., Commander U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Ocean Survey. Relief shown By hachures; depths shown By soundings. Binder's title. Sheets numbered 135 to 161. 38 maps on 27 sheets; 86 x 88 cm. or smaller.

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  2. Title: Population and Race by County, Coastal Northeast United States, 2010

    Contributors:

    Summary: This polygon shapefile represents population and race by county for coastal regions in the Northeastern United States for 2010. This data product was created by combing the spatial information from the 2010 TIGER/Line county shapefiles with the tabular data on population and race from the 2010 U.S. Census. The population and race data are taken from the 2010 Census Summary File 1 question P10 , race for the population 18 years and over, by county. To support coastal and ocean planning and other activities pursuant to the Coastal Zone Management Act, Energy Policy Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act. U.S. Department of Commerce, U.S. National Oceanic and Atmospheric Administration, National Ocean Service and NOAA Coastal Services Center. (2010). Population and Race by County, Coastal Northeast United States, 2010. NOAA Coastal Services Center. Available at: http://purl.stanford.edu/mg021np3456. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  3. Title: Population and Race by State, Coastal Northeast United States, 2010

    Contributors:

    Summary: This polygon shapefile represents population and race by state for coastal regions in the Northeastern United States for 2010. This data product was created by combing the spatial information from the 2010 TIGER/Line State shapefiles with the tabular data on population and race from the 2010 U.S. Census. The population and race data are taken from the 2010 Census Summary File 1 question P10 , race for the population 18 years and over, by State. To support coastal and ocean planning and other activities pursuant to the Coastal Zone Management Act, Energy Policy Act, Magnuson-Stevens Fishery Conservation and Management Act, National Environmental Policy Act, Rivers and Harbors Act and the Submerged Lands Act. U.S. Department of Commerce, U.S. National Oceanic and Atmospheric Administration, National Ocean Service and NOAA Coastal Services Center. (2010). Population and Race by State, Coastal Northeast United States, 2010. NOAA Coastal Services Center. Available at: http://purl.stanford.edu/xf313cz5496. Not to be used for navigation This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  4. Title: 50-Foot Bathymetric Contours: California, Continental Shelf, 2000

    Contributors:

    Summary: This polyline shapefile depicts bathymetric contour line coverage for California that generally covers the continental shelf at 50 foot contour resolution. The contours were developed by interpolating National Ocean Service (NOS) Hydrographic Survey depth points. The TopoGrid algorithm within ArcInfo software was the primary gridding interpolation procedure, followed by a standard contouring routine. The contours are one possible interpretation based on chosen contouring procedures. The purpose of this contour map is to visualize changes in ocean depths relative to sea level in the nearshore California continental shelf, which is the portion of the continent beneath the ocean’s surface. The bathymetric measurements used here refer to the study of water depths only and do not include the underwater, or submarine, topography of the ocean floor except as it relates to water depths. These data are not suitable for navigation purposes. California Department of Fish and Wildlife. (2001). 50-Foot Bathymetric Contours: California, Continental Shelf, 2000. Marine Region GIS Lab. Available at: http://purl.stanford.edu/kd180vp0173. Converted to California Teale Albers NAD83 by the California Department of Fish and Game --BEGIN ORIGINAL METADATA - THIS INFORMATION MAY NOT BE CURRENT-- Identification_Information: Citation: Citation_Information: Originator: National Oceanic and Atmospheric Administration, National Ocean Service Originator: Teale Data Center GIS Solutions Group Originator: California Department of Fish and Game Publication_Date: 2001 Title: California Nearshore Contour Bathymetry - 50 foot contours Geospatial_Data_Presentation_Form: vector digital data Online_Linkage: \\Molib01\GIS_Library\Elevation\Water\Contours\nbath50f Description: Abstract: Bathymetric contour lines for California that generally cover the continental shelf at 50 foot contour resolution. The data is in DRAFT form, subsequent to later revisions. Purpose: Assess ocean depths. Supplemental_Information: Converted to California Teale Albers NAD83 by the California Department of Fish and Game -- BEGIN ORIGINAL METADATA - THIS INFORMATION MAY NOT BE CURRENT -- CALIFORNIA DEPARTMENT OF FISH AND GAME (DFG) GIS METADATA California Nearshore Contour Bathymetry - 50 foot contours DRAFT Version produced by Teale Data Center GIS Solutions Group COVERAGE NAME: nbath50f METADATA FILE: nbath50f.txt METADATA DATE: 1999.12.09 COVERAGE DESCRIPTION: Nbath50f is a bathymetric contour line coverage for California that generally covers the continental shelf at 50 foot contour resolution. The data is in DRAFT form, subsequent to later revisions by the Teale Data Center GIS Solutions Group and the DFG GIS program. The contours were developed by interpolating National Ocean Service (NOS) Hydrographic Survey depth points. The TopoGrid algorithm within ArcInfo software was the primary gridding interpolation procedure, followed by a standard contouring routine. More details will be provided when a final version is complete. The coverage is not suitable for navigation. The contours are one possible interpretation based on chosen contouring procedures. The Teale Data Center and the California Department of Fish and Game make no warranty as to the suitability of this data for any purpose. VITAL STATISTICS: Standard Teale Parameters? [x] YES; [ ] NO Datum: NAD 27 Projection: Albers Units: Meters 1st Std. Parallel: 34 00 00 (34.0 degrees N) 2nd Std. Parallel: 40 30 00 (40.5 degrees N) Longitude of Origin: -120 00 00 (120.0 degrees W) Latitude of Origin: 00 00 00 (0.0 degrees N) False Easting (X shift): 0 False Northing (Y shift): -4,000,000 Source: National Ocean Service Hydrographic Surveys Source Media: digital file Data Structure: vector ARC/INFO Coverage Type: point ARC/INFO Precision: single ARC/INFO Tolerances: fuzzy= 116.339; dangle= 0.0 Number of Features: arcs: 8293 File Size: appx. 4.9 MB as ARC/INFO uncompressed export file (.e00) DATA DICTIONARY: Structure for NBATH50F.AAT COL ITEM NAME WIDTH TYPE N.DEC DESCRIPTION 1 FNODE# 4 B - ARC/INFO default 5 TNODE# 4 B - ARC/INFO default 9 LPOLY# 4 B - ARC/INFO default 13 RPOLY# 4 B - ARC/INFO default 17 LENGTH 8 F 5 ARC/INFO default 25 EEZBATH# 4 B - ARC/INFO default 29 EEZBATH-ID 4 B - ARC/INFO default 33 DEPTH 4 F 3 Depth in feet UPDATES: 2001.12.18 - Manual fix for area offshore from Trindad, other miscellaneous edits. DFG CONTACTS: Will Patterson, DFG GIS Analyst 916-323-1484, Email: wpatters@dfg.ca.gov -- END ORIGINAL METADATA -- Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: unknown Ending_Date: unknown Currentness_Reference: ground condition Status: Progress: Complete Maintenance_and_Update_Frequency: Unknown Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -124.796869 East_Bounding_Coordinate: -116.558824 North_Bounding_Coordinate: 42.521172 South_Bounding_Coordinate: 31.993465 Keywords: Theme: Theme_Keyword_Thesaurus: none Theme_Keyword: elevation Theme_Keyword: oceans Theme_Keyword: geoscientificInformation Theme_Keyword: bathymetry Place: Place_Keyword_Thesaurus: none Place_Keyword: California Access_Constraints: none Use_Constraints: none Native_Data_Set_Environment: Microsoft Windows 2000 Version 5.0 (Build 2195) Service Pack 3; ESRI ArcCatalog 8.3.0.800 Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Vector Point_and_Vector_Object_Information: SDTS_Terms_Description: SDTS_Point_and_Vector_Object_Type: Complete chain Point_and_Vector_Object_Count: 8397 SDTS_Terms_Description: SDTS_Point_and_Vector_Object_Type: Point Point_and_Vector_Object_Count: 4 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Map_Projection: Map_Projection_Name: Albers Conical Equal Area Albers_Conical_Equal_Area: Standard_Parallel: 34.000000 Standard_Parallel: 40.500000 Longitude_of_Central_Meridian: -120.000000 Latitude_of_Projection_Origin: 0.000000 False_Easting: 0.000000 False_Northing: -4000000.000000 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: coordinate pair Coordinate_Representation: Abscissa_Resolution: 0.002334 Ordinate_Resolution: 0.002334 Planar_Distance_Units: meters Geodetic_Model: Horizontal_Datum_Name: North American Datum of 1983 Ellipsoid_Name: Geodetic Reference System 80 Semi-major_Axis: 6378137.000000 Denominator_of_Flattening_Ratio: 298.257222 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: nbath50f.aat Attribute: Attribute_Label: FID Attribute_Definition: Internal feature number. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: Shape Attribute_Definition: Feature geometry. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Coordinates defining the features. Attribute: Attribute_Label: FNODE# Attribute_Definition: Internal node number for the beginning of an arc (from-node). Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Whole numbers that are automatically generated. Attribute: Attribute_Label: TNODE# Attribute_Definition: Internal node number for the end of an arc (to-node). Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Whole numbers that are automatically generated. Attribute: Attribute_Label: LPOLY# Attribute_Definition: Internal node number for the left polygon. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Whole numbers that are automatically generated. Attribute: Attribute_Label: RPOLY# Attribute_Definition: Internal node number for the right polygon. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Whole numbers that are automatically generated. Attribute: Attribute_Label: LENGTH Attribute_Definition: Length of feature in internal units. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Positive real numbers that are automatically generated. Attribute: Attribute_Label: NBATH50F# Attribute_Definition: Internal feature number. Attribute_Definition_Source: ESRI Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: NBATH50F-ID Attribute_Definition: User-defined feature number. Attribute_Definition_Source: ESRI Attribute: Attribute_Label: DEPTH Distribution_Information: Resource_Description: Downloadable Data Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Transfer_Size: 1.407 Metadata_Reference_Information: Metadata_Date: 20030929 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: California Department of Fish and Game Contact_Person: GIS Service Center Contact_Address: Contact_Electronic_Mail_Address: geodata@dfg.ca.gov Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998 Metadata_Time_Convention: local time Metadata_Extensions: Online_Linkage: http://www.esri.com/metadata/esriprof80.html Profile_Name: ESRI Metadata Profile --END ORIGINAL METADATA-- This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  5. Title: United States--East Coast, New York, Jamaica Bay and Rockaway Inlet, 1964

    Contributors:

    Summary: This is a scanned version of the 1964 paper map entitled: United States--East Coast, New York, Jamaica Bay and Rockaway Inlet. The map was scanned at 300 dots per inch and is in the TIFF format.

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  6. Title: Imagined San Francisco

    Contributors:

    Summary: This project traces the history of urban planning in San Francisco, placing special emphasis on unrealized schemes. Rather than using visual material simply to illustrate outcomes, Imagined San Francisco uses historical plans, maps, architectural renderings, and photographs to show what might have been. By enabling users to layer a series of urban plans, the project presents the city not only as a sequence of material changes, but also as a contingent process and a battleground for political power. Savvy institutional actors--like banks, developers, and many public officials--understood that in some cases to clearly articulate their interests would be to invite challenges. That means that textual sources like newspapers and municipal reports are limited in what they can tell researchers about the shape of political power. Urban plans, however, often speak volumes about interests and dynamics upon which textual sources remain silent. Mortgage lenders, for example, apparently thought it unwise to state that they wished to see a poor neighborhood cleared, to be replaced with a freeway onramp. Yet visual analysis of planning proposals makes that interest plain. So in the process of showing how the city might have looked, Imagined San Francisco also shows how political power actually was negotiated and exercised.

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  7. Title: Kelp Canopy: Southern California, 2012

    Contributors:

    Summary: This polygon shapefile is a thematic map representing mosaicked multi-spectral imagery targeting both exposed and submerged giant kelp beds along the Naval Air Systems Command (NAVAIR) Point Mugu Sea Range. The imagery used to create this classification was acquired at a spatial resolution of 0.3 meters using a Microsoft UltraCam-X digital camera acquiring in the red, green, blue and near-infrared bands. The image mosaic product used for the classification is a result of the resampling of the 0.3 meter data to 2 meter GSD. Surface kelp canopy and subsurface kelp classifications are seperate. The imagery was collected on October 14-16, November 13-14 and December 9-10, 2012. This dataset is complete at this time, although the user should note any omissions. The data are projected in California Teale Albers using North American Datum 1983. File reindexed to match CDFW kelp administrative kelp bed boundaries modified by changes to California Code of Regulations, Title 14, Section 165, effective April 1, 2014. This dataset is used to assess the extent of kelp resources along the Southern California coast (Point Loma to approximately 3.8 miles north of Point Conception) and includes the Channel Islands. Surface kelp canopy and subsurface kelp classifications are seperate. The data was collected and processed by Ocean Imaging under contract by the Naval Air Systems Command (NAVAIR). The user is cautioned against making direct comparisons between the various kelp surveys for the following reasons: (1)Timing of the survey is important, particularly with respect to growing season, conditions in the ocean, storms, and harvest levels preceding the dates of imagery collection. Season variability may account for differences in surveys which may not reflect a change in the bed's extent, productivity, or harvest level. (2) Statisical significance in change of area should be evaluated. To do this, a variance parameter is needed, which is obtained by repeated measurements. (3) Survey methods may not be consistent. Some method of calibration between the methods should be performed in order to insure a change of area is not due to survey instrumentation and not misinterpreted as a biological change. (4) An area where no kelp data are present may represent an area devoid of kelp, or may represent an area where kelp was not detected due to poor photo quality, missing photo coverage, or other issues with data collection and processing. Image coverage is extensive for the state, but the user is advised to consult the supplementary information for each year to determine whether imagery were acquired for an area of interest. California Department of Fish and Wildlife Marine Resources Region. (2013). Kelp Canopy: Southern California, 2012. California Department of Fish and Wildlife. Marine Resources Region. Available at: http://purl.stanford.edu/xk635rd3987. DISCLAIMER The user is cautioned against making direct comparisons between the various kelp surveys for the following reasons: (1)Timing of the survey is important, particularly with respect to growing season, conditions in the ocean, storms, and harvest levels preceding the dates of imagery collection. Season variability may account for differences in surveys which may not reflect a change in the bed's extent, productivity, or harvest level. (2) Statisical significance in change of area should be evaluated. To do this, a variance parameter is needed, which is obtained by repeated measurements. (3) Survey methods may not be consistent. Some method of calibration between the methods should be performed in order to insure a change of area is not due to survey instrumentation and not misinterpreted as a biological change. (4) An area where no kelp data are present may represent an area devoid of kelp, or may represent an area where kelp was not detected due to poor photo quality, missing photo coverage, or other issues with data collection and processing. Image coverage is extensive for the state, but the user is advised to consult the supplementary information for each year to determine whether imagery were acquired for an area of interest. Please cite the Originators in any reference to the data. NAVAIR and the California Department of Fish and Wildlife must be credited with the distribution of these data. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  8. Title: Kelp Canopy: Southern California, 2011

    Contributors:

    Summary: This polygon shapefile depicts the 2011 aerial kelp survey that was created from Digital Multi-Spectral Camera image files. The data was collected and processed by Ocean Imaging under contract by the Naval Air Systems Command (NAVAIR). This mosaicked multi-spectral imagery targeted giant kelp beds along the Naval Air Systems Command (NAVAIR) Point Mugu Sea Range. The area from Santa Monica Pier, Los Angeles county to Pt. Magu, Ventura county were not photographed. Some of the outer portions of kelp beds were cut off due to inadequate overlap in aerial surveys and these areas are noted in Grid Code 2. The imagery was collected on November 22 and December 07-08, 2011 from altitudes between 10,000 to 12,500 feet. Surveys were planned to coincide with periods of minimal change between high and low tides to avoid strong tidal induced currents. This dataset is complete, although the user should note any omissions. The data are projected in California Teale Albers using North American Datum 1983. File reindexed to match CDFW kelp administrative kelp bed boundaries modified by changes to California Code of Regulations, Title 14, Section 165, effective April 1, 2014. The dataset is used to assess the extent of kelp resources along the Southern California coast (Point Loma to two miles north of Gaviota Beach). The dataset was collected and created with the same camera system and processing software as the 2008 survey. Surface and subsurface kelp canopy imagery was collected under the same classification scheme. The user is cautioned to look for areas which appear truncated. The user is cautioned against making direct comparisons between the various kelp surveys for the following reasons: 1) Timing of the survey is important, particularly with respect to growing season, conditions in the ocean, storms, and harvest levels preceding the dates of survey photography. Seasonal variability may account for differences in surveys, which may not reflect a change in the bed's extent, productivity, or harvest level. 2) Statistical significance in change of area should be evaluated. To do this, a variance parameter is needed, which is obtained by repeated measurements. 3) Survey methods may not be consistent. Some method of calibration between the methods needs to be performed in order to insure a change of area is not due to survey instrumentation and not misinterpreted as a biological change. 4) An area where no kelp data are present may represent an area devoid of kelp, or may represent an area where kelp was not detected due to poor photo quality, missing photo coverage, or other issues with data collection and processing. Photo coverage is extensive for the state, but the user is advised to consult the supplementary information for each year to determine whether photographs were acquired for an area of interest. California Department of Fish and Wildlife Marine Resources Region. (2012). Kelp Canopy: Southern California, 2011. California Department of Fish and Wildlife. Marine Resources Region. Available at: http://purl.stanford.edu/pq743qn0702. Please cite the Originators in any reference to the data. NAVAIR and the California Department of Fish and Wildlife must be credited with the distribution of these data. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  9. Title: Kelp Canopy: California, 2009

    Contributors:

    Summary: The data for this polygon shapefile was collected and created with the same camera system and processing software as the 2008 survey. Surface and subsurface kelp canopy imagery was collected and processed with separate classification schemes. The shapefile was created from Digital Multi-Spectral Camera image files. The data was collected and processed by Ocean Imaging under contract by the Resources Legacy Fund Foundation (RLFF) for the Marine Protected Areas Monitoring Enterprise. This dataset represents the 2009 aerial kelp survey. The imagery was collected on October 01, 2009 from an altitude of 12,500 feet. Surveys were planned to coincide with periods of minimal change between high and low tides to avoid strong tidal induced currents. This coverage is complete, although the user should note any omissions. The data are projected in California Teale Albers using North American Datum 1983. File reindexed to match CDFW kelp administrative kelp bed boundaries modified by changes to California Code of Regulations, Title 14, Section 165, effective April 1, 2014. This dataset was developed for the Marine Protected Areas Monitoring Enterprise to assess the extent of kelp canopy resources along the North Central California coast (Pigeon Point to Alder Creek). California Department of Fish and Wildlife Marine Resources Region. (2010). Kelp Canopy: California, 2009. California Department of Fish and Wildlife. Marine Resources Region. Available at: http://purl.stanford.edu/zd395qv1073. Please cite the Originators in any reference to the data. For the north central data: The Resources Legacy Fund Foundation (contract), the Marine Protected Areas Monitoring Enterprise (coordination), Ocean Imaging (data collection and processing), The California Department of Fish and Game (database management). For the Santa Barbara and San Nicolas Islands data: NAVAIR (contract), Ocean Imaging (data collection and processing, The California Department of Fish and Game (database management). For the southern California mainland section: The Central and Region 9 Kelp Consortiums (contract) , MBC Applied Environmental Sciences (data collection and processing), The California Department of Fish and Game (database management). This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  10. Title: Kelp Canopy: California, 2008

    Contributors:

    Summary: This polygon shapefile was collected and created with a different camera system and software than the 2002-2007 surveys. This difference in camera system and processing software allows the collection of both surface and subsurface kelp with separate classification schemes. The shapefile was created from Digital Multi-Spectral Camera image files and was collected and processed by Ocean Imaging under contract by the California Department of Fish and Wildlife (CDFW). The dataset represents the 2008 CDFW Survey. The Northern and Central California Surveys were flown October 06-08, 2008. The Southern California including the Channel Islands imagery was acquired October 20-23, 2008. The photographs were taken from an altitude of 12,500 feet, utilizing CDFW's Partenavia aircraft. Surveys were planned to coincide with periods of minimal change between high and low tides to avoid strong tidal induced currents. This dataset is complete, although the user should note omissions. The data are projected in California Teale Albers using North American Datum 1983. File reindexed to match CDFW administrative kelp bed boundaries modified by changes to California Code of Regulations, Title 14, Section 165, effective April 1, 2014. These data are used to assess the extent of kelp canopy resources along the California coast. California Department of Fish and Wildlife Marine Resources Region. (2009). Kelp Canopy: California, 2008. California Department of Fish and Wildlife. Marine Resources Region. Available at: http://purl.stanford.edu/jx253kn5220. This data was revised on 09-29-09. The revisions resulted in the removal of polygon overlap which increased overall kelp area 0.0008 sq. mi. The overlap involved administrative beds 211 (0.000759 sq. mi.) and 212 (0.000024 sq. mi.). In addition, the data was intersected with the administrative kelp beds. Kelp missed due to inadequate overlap: Santa Cruz Island, bed 112, small section of kelp bed missed approximately 3.77km southwest of Diablo Point; Santa Barbara County, bed 32, section of offshore kelp missed south of Canada Del Cojo; San Luis Obispo County, bed 205, small section of the inshore bed missed by Diablo Canyon and east of Lion Rock; San Luis Obispo County, bed 208, small section of offshore kelp missed 4.25km northwest of Point Estero; San Luis Obispo County, bed 210, small section of offshore kelp missed south of Adobe Creek; Monterey County, bed 216, corner of cove/bay missed from False Sur to Pt. Sur; Santa Cruz County, bed 222, partial cloud cover from Needle Rock to Terrace Point may have hidden offshore kelp; Marin County, bed 301, kelp may have been missed between Double Point; Sonoma County, bed 303, section of kelp bed missed around Fort Ross Cove; Mendocino County, bed 307, section of inshore kelp missed between Slaughterhouse Gulch and Jack Peters Gulch. The user is cautioned to look for areas which appear truncated. DISCLAIMER The user is cautioned against making direct comparisons between the various kelp surveys for the following reasons: 1) Timing of the survey is important, particularly with respect to growing season conditions in the ocean, and storms and harvest levels preceding the dates of survey photography. Seasonal variability may account for differences in surveys, which may not reflect a change in the bed's extent, productivity, or harvest level. 2) Statistical significance in change of area should be evaluated. To do this, a variance parameter is needed, which is obtained by repeated measurements. 3) Survey methods have not been/may not be consistent. Some method of calibration between the methods needs to be performed in order to insure a change of area is not due to survey instrumentation, and not misinterpreted as a biological change. 4) An area where apparently no kelp data are present may truly represent an area devoid of kelp, or may represent an area where kelp was not detected due to poor photo quality, missing photo coverage, or other issues with data collection and processing. Photo coverage is extensive for the state, but the user is advised to consult the supplementary information for each year to determine whether photographs were acquired for an area of interest. These are public data. The Department of Fish and Wildlife must be credited with the collection, analysis and distribution of these data. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  11. Title: Great Lakes Shoreline (CUSP), Wisconsin 2024

    Contributors:

    Summary: This data represents Great Lakes Shoreline (CUSP) for Wisconsin in 2024. [Shoreline is a dynamic interface between land and water. The cartographic depiction of shoreline is a representation at the time of survey. Continually Updated Shoreline Product (CUSP) provides the most up-to-date shoreline of the United States and its territories. CUSP will identify the most up-to-date surveys for inclusion, employ state-of-the-art technology for cartographic review, attribute shoreline features, and develop a strategy to replace shoreline as it becomes available. CUSP is a separate product from the project-based national shoreline mapped by the National Geodetic Survey (NGS). The national shoreline from the Coastal Mapping Program provides accurate tidal referenced shoreline, aids to navigation, hazards to navigation, and associated cultural and topographic reference data primarily for nautical chart applications. CUSP will only include shoreline and alongshore features that represent shoreline (groin, breakwater, and jetty). CUSP has less stringent data acquisition requirements and quality control measures compared to the Coastal Mapping Program's National Shoreline. Where applicable, CUSP will reference a mean high water shoreline based on vertical (VDatum) modeling or image interpretation using water level stations and/or shoreline indicators. CUSP is built upon contemporary NGS's National Shoreline which comprises approximately one-third of our nation's shoreline and focuses primarily on the most navigational significant areas. CUSP uses and incorporates both NOAA and non-NOAA contemporary sources (Lidar, imagery, and external shoreline vectors) to replace shoreline areas of older vintage. Shoreline continues to be reviewed with contemporary imagery and additional data is being included with the goal of providing a continuous shoreline of our nation and its territories. For additional information, please see the CUSP One Pager.]

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  12. Title: Sudan Coast Lines, 2007

    Contributors:

    Summary: Sudan Coast Lines is a line theme representing coastlines and shorelines in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  13. Title: Sudan Landcover, 2007

    Contributors:

    Summary: Sudan Landcover is a raster theme representing land cover classifications throughout Sudan at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  14. Title: Sudan Political Boundaries, 2007

    Contributors:

    Summary: Sudan Political Boundaries is a line theme representing political boundaries in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  15. Title: Sudan Elevation, 2007

    Contributors:

    Summary: Sudan Elevation is a Digital Elevation Model representing elevations throughout Sudan at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  16. Title: Sudan Water Course, 2007

    Contributors:

    Summary: Sudan Water Course is a line theme representing rivers and streams in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  17. Title: Sudan Tunnels and Bridges, 2007

    Contributors:

    Summary: Sudan Tunnels and Bridges is a line theme representing tunnels and bridges in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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  18. Title: Sudan Roads, 2007

    Contributors:

    Summary: Sudan Roads is a line theme representing roadways in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organizations worldwide.

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  19. Title: Sudan Built-up Areas (polygons), 2007

    Contributors:

    Summary: Sudan Built-up Areas (polygon) is a polygon theme representing built-up areas in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organizations worldwide.

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  20. Title: Sudan Vegetation, 2007

    Contributors:

    Summary: Sudan Vegetation is a raster theme representing percentages of tree cover throughout Sudan at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.

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