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6,433 results returned

  1. Title: Global GIS : Oil and gas fields

    Contributors:

    Summary: This coverage contains points that describe centerpoint locations of and primary commodity produced by oil and gas fields. A fundamental task in the assessment is to map the locations and type of production for existing oil and gas fields.

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  2. Title: Zoning Map, Mansfield, Massachusetts, 1987 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Zoning map, town of Mansfield, Mass., prepared by Tibbetts Engineering Corp. ; street update by SRPEDD. It was published by Tibbetts Engineering Corp. in 1987. Scale [ca. 1:7,200]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Includes also zoning categories. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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  3. 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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  4. 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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  5. 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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  6. 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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  7. Title: Active Subdivision Map, Marlborough, Massachusetts, 1996 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Active subdivision map, city of Marlborough, Mass. It was published by the Planning Board in 1996. Scale ca. 1:12,500. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Includes also extent of subdivisions. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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  8. Title: Philadelphia

    Contributors:

    Summary: Verso: Lehigh Valley, Pennsylvania, and Philadelphia area (1:181,028), and high oblique air photograph of Philadelphia. Title on verso: Cushman & Wakefield in Pennsylvania, Philadelphia. Shows residential, office and other governmental, institutional, and commercial buildings, as well as parks and proposed developments in downtown area. Text, high oblique air photograph, and metropolitan region road map on verso.

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  9. Title: World (Cities, 2004)

    • Polygon data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Cities from the Population layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  10. Title: World (Misc Structures, 2004)

    • Point data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Miscellaneous named locations from the Population layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  11. Title: World (Misc Hydrology, 2004)

    • Point data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Miscellaneous hydrology points including springs and islands from the Hydrology layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  12. Title: World (Named Locations, 2004)

    • Point data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Named locations from the physiology layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  13. Title: World (Elevation, 2004)

    • Point data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Spot elevations from the Elevation layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  14. Title: World (Ground Surface Elements, 2004)

    • Polygon data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Ground surface elements, such as sand or lava, from the Physiology layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  15. Title: World (Ocean depth areas, 2004)

    • Polygon data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Ocean depths from the Boundaries layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  16. Title: World (Ocean depth contours, 2004)

    • Line data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Ocean depths from the Boundaries layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  17. Title: World (Misc Hydrology, 2004)

    • Point data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Miscellaneous hydrology points including springs and islands from the Hydrology layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  18. Title: World (Sea Ice, 2004)

    • Polygon data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Sea ice areas from the physiology layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  19. Title: World (Tundra, 2004)

    • Polygon data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Tundra areas from the Vegetation layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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  20. Title: World (Grassland, 2004)

    • Polygon data
    • 2004
    • MIT authentication required
    Contributors:

    Summary: Grass and scrublands from the Vegetation layer of the DCW. This data is part of the Digital Chart of the World dataset included with the Tobin Global Planner dataset. The National Imagery and Mapping Agency (NIMA) 2000 Digital Chart of the World (DCW) dataset is a GIS database at a 1:1,000,000 map scale. Global Planner contains DCW Release 5, dated September 2000. The original DCW dataset can be acquired for a nominal fee on the internet. Where necessary, Tobin converted the DCW data to the WGS84 Latitude Longitude datum and projection and to SHAPE (SHP) file format so that it could be overlaid on the topographic maps.

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