100+ datasets found
  1. a

    Phase 6 Map Viewer

    • hamhanding-dcdev.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Apr 14, 2020
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    Chesapeake Geoplatform (2020). Phase 6 Map Viewer [Dataset]. https://hamhanding-dcdev.opendata.arcgis.com/documents/f4a3eeeee4a64d089c2a91239d871f50
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    Dataset updated
    Apr 14, 2020
    Dataset authored and provided by
    Chesapeake Geoplatform
    Description

    Open the Data Resource: https://gis.chesapeakebay.net/mpa/scenarioviewer/ This viewer provides basic mapping functionality for a subset of Public Reports for Load Scenarios available from the CAST Tool. It also contains map layers for several commonly requested data layers associated with the Chesapeake Bay suite of models.

  2. d

    6-m resolution grid of multibeam bathymetry in western Massachusetts Bay map...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). 6-m resolution grid of multibeam bathymetry in western Massachusetts Bay map Quadrangle 2 (Q2_BATHY6M) [Dataset]. https://catalog.data.gov/dataset/6-m-resolution-grid-of-multibeam-bathymetry-in-western-massachusetts-bay-map-quadrangle-2-
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Western Massachusetts, Massachusetts
    Description

    The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick. The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

  3. h

    IBEX-Hi digital maps every 6 months

    • hpde.io
    • heliophysicsdata.gsfc.nasa.gov
    Updated Jul 7, 2020
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    (2020). IBEX-Hi digital maps every 6 months [Dataset]. https://hpde.io/NASA/NumericalData/IBEX/Hi/Maps-TXT.html
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    Dataset updated
    Jul 7, 2020
    License

    https://cdla.io/permissive-1-0/https://cdla.io/permissive-1-0/

    Description

    As of this writing (11/5/2010), this product had been issued by the IBEX team in two releases. Release 1 IBEX-Hi map data are superseded by Release 2 data which are more time-extensive (12 months vs. 6 months) and are richer in content. While Release 1 IBEX-Hi map data and their documentation remain accessible at ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/ibex/hi/maps/digital_data/release_1/ and ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/ibex/hi/maps/images/release_1/, this description supports the retrieval and use of Release 2 data only.

    The Release_2 IBEX-Hi map data contain all-sky 6 deg x 6 deg resolution maps in J2000 ecliptic coordinates of energetic neutral fluxes reaching the near-Earth IBEX spacecraft from the distant heliosphere and heliosheath. Maps are in both a spacecraft frame and, via Compton-Getting corrections, a heliospheric frame. Basic maps are each accumulated over 6-months duration, so far for epochs 1 (12/2008-06/2009) and 2 (06/2009-12/2009). Maps are available for five of the energy bands of IBEX-Hi (0.52-0.95, 0.84-1.55, 1.36-2.50, 1.99-3.75, 3.13-6.00 keV) and, for the heliospheric frame only, also for six monoenergetic points (0.71, 1.11, 1.74, 2.73, 3.0, 4.29 keV). In addition, monoenergetic maps are available as summed over the data collected during epochs 1 and 2 combined. All maps are available in digital text format and in PNG image format (considered as separate data sets within VEPO).

    Given that VHO/VEPO typically displays clickable granule (file) names for any given specification of data product and time span, and given that IBEX-Hi digital maps and PNG-formatted display maps are each considered single data products, a request for data from either product will yield .GE.20 names of files containing data spanning or within the requested time span. For IBEX, the names shown by VHO/VEPO actually have the form subdirectory/filename. The subdirectories are named map1, map1cg, map2, map2cg, and map-combined. Maps involving "1" ("2") are from the first (second) 6-month epoch, while "combined" means composed of data taken during epochs 1 and 2. Maps involving (not involving) "cg" means heliospheric frame (spacecraft frame). In the first four subdirectories, file names are of the forms ha60.hide-trp-flux100-hi-N-flux.ext and ha60.hide-trp-mono_80-P.PP-flux.ext, where "ext" is "png" or "txt" according to which product is requested, N is the energy step number for the IBEX-Hi instrument (2-6), P.PP is the energy level, in keV, of a monoenergetic flux. Files in the "combined" subdirectories are named "combined-P.PP-flux.ext, where P.PP has the same meaning as above.

    In addition to the flux maps to which VEPO provides access, several map files whose data support the determination of the fluxes are also available in the underlying nssdcftp directories and are described by aareadme files there (and by IBEX web pages at SWRI: http://ibex.swri.edu/ibexpublicdata/Data_Release_2/)

  4. g

    China 1:2,500,000 Scale Geological Map (6 sheets)

    • shop.geospatial.com
    Updated Feb 22, 2019
    + more versions
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    (2019). China 1:2,500,000 Scale Geological Map (6 sheets) [Dataset]. https://shop.geospatial.com/publication/ZZ92DMMV3FGG4NPX8MRC8WJY66/China-1-to-2500000-Scale-Geological-Map-6-sheets
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    Dataset updated
    Feb 22, 2019
    Area covered
    China
    Description

    Spatial coverage index compiled by East View Geospatial of set "China 1:2,500,000 Scale Geological Map (6 sheets)". Source data from GPH (publisher). Type: Geoscientific - Geology. Scale: 1:2,500,000. Region: China .

  5. Reference map of 6 towns in highly impacted area. - Datasets - MapAction

    • maps.mapaction.org
    Updated Feb 21, 2022
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    maps.mapaction.org (2022). Reference map of 6 towns in highly impacted area. - Datasets - MapAction [Dataset]. https://maps.mapaction.org/dataset/2022-mdg-001-ma027-v2
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    Dataset updated
    Feb 21, 2022
    Dataset provided by
    MapActionhttp://www.mapaction.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Registered charity 1126727; registered company limited by guarantee 6611408 (England and Wales)

  6. a

    6-digit HU (Basin)

    • owdp-geo.hub.arcgis.com
    • geohub.oregon.gov
    • +4more
    Updated May 1, 2024
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    State of Oregon (2024). 6-digit HU (Basin) [Dataset]. https://owdp-geo.hub.arcgis.com/maps/oregon-geo::6-digit-hu-basin
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    Dataset updated
    May 1, 2024
    Dataset authored and provided by
    State of Oregon
    Area covered
    Pacific Ocean, South Pacific Ocean
    Description

    Abstract: This file contains Hydrologic Unit (HU) polygon boundaries for the United States, Puerto Rico, and the U.S. Virgin Islands. The data is a seamless National representation of HU boundaries from 2 to 14 digits compiled from U.S. Geological Survey (USGS) National Hydrography Dataset (NHD) and U.S. Department of Agriculture (USDA) National Resources Conservation Service (NRCS) Watershed Boundary Dataset (WBD) sources. Purpose: This data is intended primarily for geographic display and analysis of regional and national data, and can also be used for illustration purposes at intermediate or small scales (1:250,000 to 1:2,000,000).

  7. c

    Judicial Subdistrict 6 Precinct Map Book

    • s.cnmilf.com
    • catalog.data.gov
    • +2more
    Updated Jan 20, 2023
    + more versions
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    Lake County Illinois GIS (2023). Judicial Subdistrict 6 Precinct Map Book [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/judicial-subdistrict-6-precinct-map-book-2022-06f03
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    Dataset updated
    Jan 20, 2023
    Dataset provided by
    Lake County Illinois GIS
    Description

    Judicial Subdistrict 6 Precinct Map Book - 2022

  8. a

    NSW 2019 Spot 6-7 Web Map Service

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Sep 20, 2022
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    daniel.mccullock_lpinsw (2022). NSW 2019 Spot 6-7 Web Map Service [Dataset]. https://hub.arcgis.com/maps/95c0763e95df425abc75ad52e2b35c94
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    Dataset updated
    Sep 20, 2022
    Dataset authored and provided by
    daniel.mccullock_lpinsw
    Area covered
    Description

    Metadata Content Title NSW 2019 Spot 6-7 Web Map ServiceContent Type Web MapDescription NSW Spot Imagery 2019 is first of a series of Bi Annual (commencing second half of 2019) Satellite Image Mosaics covering NSW with an image resolution of 1.5 metres. This imagery is captured in between January and April 2019. The state mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG 2000 file with a word file.Initial Publication Date 11/06/2020Data Currency 12/09/2022Data Update Frequency Half-YearlyContent Source OtherFile Type Map Feature Service Attribution Data Theme, Classification or Relationship to other Datasets Accuracy Spatial Reference System (dataset) GDA94 Spatial Reference System (web service) EPSG:4326 WGS84 Equivalent To GDA94 Spatial Extent Content Lineage Data Classification UnclassifiedData Access Policy OpenData Quality Terms and Conditions Creative CommonStandard and Specification Data Custodian Spatial Services | NSW Department of Customer ServicePoint of Contact DCS Spatial Services Customer HubData Aggregator DCS Spatial ServicesData Distributor DCS Spatial ServicesAdditional Supporting Information The web service is built as per Spatial Services's project specification. WMS is OGC protocol compatible and suitable for consumption by common GIS platforms. This dataset is also compliant with the NSW Foundation Spatial Data Framework and its specifications.Dataset Producers and Contributors:Geospatial IntelligenceAirbus DS for SPOT 6/7© CNES (2020) DISTRIBUTION AIRBUS DSTRIM Number

  9. 3D neighborhood motion maps (6-neighborhood)

    • zenodo.org
    application/gzip
    Updated Jan 24, 2020
    + more versions
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    Kacper Pluta; Guillaume Moroz; Yukiko Kenmochi; Pascal Romon; Kacper Pluta; Guillaume Moroz; Yukiko Kenmochi; Pascal Romon (2020). 3D neighborhood motion maps (6-neighborhood) [Dataset]. http://doi.org/10.5281/zenodo.573014
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    application/gzipAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kacper Pluta; Guillaume Moroz; Yukiko Kenmochi; Pascal Romon; Kacper Pluta; Guillaume Moroz; Yukiko Kenmochi; Pascal Romon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The file is a sqlite3 database which contains 3D neighborhood motions maps of 6-neighborhood together with sample points. It was computed while using a variation of the algorithm described in: Pluta K., Moroz G., Kenmochi Y., Romon P. (2016) Quadric Arrangement in Classifying Rigid Motions of a 3D Digital Image. In: Gerdt V., Koepf W., Seiler W., Vorozhtsov E. (eds) Computer Algebra in Scientific Computing. CASC 2016. Lecture Notes in Computer Science, vol 9890. Springer, doi:10.1007/978-3-319-45641-6_27

    To refer to a version of the algorithm used to compute the file use DOI:10.5281/zenodo.573013 (https://zenodo.org/badge/latestdoi/53963129).

  10. Haiti: Medical Facilities and Sites Map 6 - Datasets - MapAction

    • maps.mapaction.org
    Updated Jul 4, 2016
    + more versions
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    maps.mapaction.org (2016). Haiti: Medical Facilities and Sites Map 6 - Datasets - MapAction [Dataset]. https://maps.mapaction.org/dataset/192-2054
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    Dataset updated
    Jul 4, 2016
    Dataset provided by
    MapActionhttp://www.mapaction.org/
    Area covered
    Haiti
    Description

    Map shows Medical facilities as of 4 Feb 2010 Data are based upon the PAHO database 'Haiti Health Facilities'. This site is updated regularly and represents the master data set for medical facilities. Please submit all updates and corrections to this site: http//:sites.google.com/a/netspective.org/ haiti-health-facilities/ home

  11. C

    River map 1st edition series 6

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
    + more versions
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    OverheidNl (2023). River map 1st edition series 6 [Dataset]. https://ckan.mobidatalab.eu/dataset/24513-rivierkaart-1e-druk-serie-6
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    http://publications.europa.eu/resource/authority/file-type/wms_srvc, http://publications.europa.eu/resource/authority/file-type/wcs_srvc, http://publications.europa.eu/resource/authority/file-type/jpeg, http://publications.europa.eu/resource/authority/file-type/map_srvcAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Mosaic of old river maps in ECW made from old river maps that have been scanned. After this, the leaf margins were removed and the images were georeferenced in RD. After this, a mosaic was made in ECW format for each edition, series or revision. In an accompanying index file (shape) you can find the year of each separate card. Map of the river Hollandsche IJssel from Gouda to IJsselmonde: in three sheets / by order of His Excellency the Minister of the Interior, under the direction of the Chief Inspector of the Water Management L.J.A. van der Kun ; measured and produced by the land surveyors at the Public Works Department E. Olivier Dz. and J. Leids. - [Delft:: Algemeene Dienst van den Waterstaat, 1859-1860] Delft: Topographic Bureau and Printing Office of the Department of War). - 1 map series in 3 sheets, in colour: lithography; various formats. Bookmark and explanation of the composition of the map on the first map sheet.

  12. K

    NZ FSMS6 (North Island)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Feb 1, 2001
    + more versions
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    NZ FSMS6 (North Island) [Dataset]. https://koordinates.com/layer/300-nz-fsms6-north-island/
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    geodatabase, geopackage / sqlite, csv, kml, pdf, dwg, mapinfo mif, shapefile, mapinfo tabAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    Ollivier & Co
    Area covered
    Description

    1.1.1 Forest Service Mapping Series 6 (FSMS6)

    The 23 completed maps provide the distribution of indigenous forest vegetation for all of the North Island and the bulk of the South Island at a scale of 1:250,000. These maps were primarily compiled by Mr John Nicholls with some of the South Island maps compiled by Mr Dudley Franklin. Black and white aerial photographs, dating from 1948 to 1955 and at a scale of 15 chains per inch, supplemented by extensive ground truthing and some 16,000 National Forest Survey and Ecosurvey plots, were used to determine forest class boundaries. These were transferred to 1:63360 topographic maps. The maps were field checked and then copied for production by FRI graphics staff (Herbert 1997, pers. comm.).

    Most maps were completed by the NZ Forest Service, with a small number being finished by the Ministry of Forestry and then by Landcare Research Ltd. Appendix 1 gives the list of maps digitised. The date of the photographs that were used to compile each map is not known exactly.

    1.1.2 Forest Service Mapping Series 15 (FSMS15)

    There are two FSMS15 comprising 1:1,000,000 maps of the North Island, and South Island (including Stewart Island). These were compiled by NZFS Conservancy and Head Office staff for the 1974 Forestry Development Conference. Forest boundaries for the 1:1,000,000 FSMS15 maps are significantly less accurate than those for the 1:250,000 FSMS6 maps (Herbert and Nicholls, 1997, pers. comm.). Data sources included existing FSMS6 maps (with 18 classes coalesced into eight super classes), local published and unpublished maps and local knowledge for areas not cover by the FSMS6. The Te Anau, Hauroko and Mataura FSMS6 series maps were substituted for by the South Island FSMS15 map.

    1.1.3 Forest Service Type Map Series No. 2 (FSTM2)

    These are a collection of detailed forest class maps at 1:63360 scale. Coverage is confined to parts of the central North Island.

    ### 1.1.4 Vegetation of Stewart Island

    Mr Hugh Wilson (Wilson, 1987) developed a detailed map of the vegetation of Steward Island. Wilson’s Podocarp/hardwood forest, and rata-kamahi hardwood forest polygons (Types A 1-2, B3) were digitised.

    1.2 Forest Class Description

    There are eighteen forest classes described in the FSMS6 map series. These are described in Table 1. The source is Nicholls and Herbert (1995). FSMS15 has eight super classes and these are defined in Table 2.

    *Table 1: Forest classes, codes and IPCC class

            (Dbase)
    

    *Class Code IPCC Class

    *Kauri A C

    *Kauri -Softwoods-Hardwoods B M

    *Kauri -Softwoods-Hardwoods-Beeches C M

    *Softwoods L C

    *Rimu-Matai-Hardwoods M M

    *Rimu-Taraire - Tawa E M

    *Rimu-Tawa D M

    *Rimu-General Hardwoods F M

    *Lowland Steepland and Highland Softwoods - Hardwoods G M

    *Rimu-Tawa-Beeches H M

    *Rimu - General Hardwoods - Beeches I M

    *Highland Softwoods-Beeches J M

    *Taraire-Tawa S B

    *Tawa N B

    *General Hardwoods P B

    *Tawa Beeches O B

    *General Hardwoods - Beeches T B

    *Beeches K B

    IPCC Class Definitions: C: Conifer, B: Broadleaf, M: Mixed.

    Table 2: FSMS15 forest classes

          Dbase
    

    Class code / FSMS6Classes Description IPCC Class

    Kauri - Podocarp - Hardwood /A, B, C All forest containing kauri, including minor area of pure kauri and local occurrence of beech M

    Podocarp L/ L Forest of abundant podocarps C

    Lowland Podocarp - Hardwood 1/ D, E, F, M, pt. G Virgin or lightly logged podocarp - hardwood forest below the altitudinal limit of rimu M

    Lowland Hardwood 2/ N, S, pt. P Residual and second growth forest below the altitudinal limit of rimu and minor areas of natural pure hardwood forest. B

    Upland Podocarp - Hardwood 3/ Pts G, P Virgin or lightly logged podocarp - hardwood above the altitudinal limit of rimu and minor areas of natural pure hardwood forest.
    M

    Podocarp - Hardwood - Beech 4/ H, I Virgin or lightly logged forest of mixed podocarp - hardwood and beech below the altitudinal limit of rimu M

    Hardwood - Beech 5/ O, T Residual or second growth forest and minor areas of natural pure hardwood - beech. B

    Beech 6/ J, K Virgin and lightly logged or second-growth forests predominantly composed of beech B

    Wilson Stewart Island 7/ Podocarp/hardwood forest, and rata-kamahi hardwood forest. M

    2. METHODS

    2.1 Digitising and Topology Generation

    The maps were digitised by staff at the Forest Research Institute under standards listed in Appendix 2, using the Terrasoft Geographic Information System. The linear features that made up each forest class polygon are shared between two feature classes one, called NZFS6 which contains the national coverage, and the other based on the respective map sheet number. This allows themes to be developed for a national view and also for the individual map sheets.

    The line work is topologically correct with no over-, or under- shoots.

    Each polygon has a nationally unique identifier and which is linked to a dbase table containing a code letter which describes the forest vegetation class.

    These maps were digitised for the purpose of providing indigenous forest vegetation cover for usage at a national scale. There has been no formal checking of the accuracy of the digitised linework. Any errors are considered to be insignificant for determining a 1990 indigenous forest vegetation baseline database. Each polygon was checked to confirm correct tagging. During that process any significant linear differences were noted and corrected.

    2.2 Problems

    2.2.1 Incorrect map details

    In several places errors on the maps were found. Either the FSTM2 maps were consulted for greater detail where coverage existed or Mr John Nicholls was, personally, consulted and the error corrected.

    2.2.2 Map source quality

    Most FSMS6 maps where unused, unfolded sheets with only sheet 12 being an unused folded map. The FSMS15 South Island map was a well used map with significant fold lines. This map also had other printed information which made precise measurement of some forest class boundaries difficult.

    Standards

    This document defines the standards used for digitising the forest class maps (NZFS Map Series 6, FSMS15 and Wilson, 1987).

    Source

    The source of the FSMS6 data is the 1:125,000 flat map sheets, the FSMS15 maps and the Vegetation map contained in Wilson (1987).

    Digitising

    The following digitising standards were used.

    A minimum of five points for registration should be selected from a rectangular range encapsulating the immediate digitising area. These points then should he entered into Convert and both the input and the resultant NZMG coordinates checked before the map is registered. The registration error should be (in Terrasoft) 0.00%. The media should be anchored firmly to the digitiser. The RMU laboratory should be used with the air conditioning turn on. Registration should occur at least twice a day, but occur more frequently if the humidity changes. All lines and polygon which represent a forest type needs to be captured irrespective of size. All intersections should have a node digitised. The two feature classes are NZFS6 and NZFS6_

    Output

    Shape must be identical

    Theme creation

    A Theme will be created for each map sheet. The national NZFS6 theme will be created by including the previously digitised map sheets and the FSMS15 and Wilson’s map. Polygon tags are to be corrected between the map sheets to make them all unique. All dangles and overlaps, and bad polygons are to be corrected.

    Tagging

    All polygons are to be tagged with a code representing the forest type. All sliver polygons are to be removed.

    Checking

    A plot should be created at the original scale and overlayed over the original map. Each polygon is checked to confirm correct tagging.

  13. Albany: 1: 1 Million General Reference Topographic Map

    • data.gov.au
    html, pdf
    Updated Jan 1, 2012
    + more versions
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    Geoscience Australia (2012). Albany: 1: 1 Million General Reference Topographic Map [Dataset]. https://data.gov.au/dataset/ds-ga-c19d0fed-233d-081e-e044-00144fdd4fa6
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    pdf, htmlAvailable download formats
    Dataset updated
    Jan 1, 2012
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This map is part of a series which comprises 50 maps which covers the whole of Australia at a scale of 1:1 000 000 (1cm on a map represents 10km on the ground). Each standard map covers an area of 6 …Show full descriptionThis map is part of a series which comprises 50 maps which covers the whole of Australia at a scale of 1:1 000 000 (1cm on a map represents 10km on the ground). Each standard map covers an area of 6 degrees longitude by 4 degrees latitude or about 590 kilometres east to west and about 440 kilometres from north to south. These maps depict natural and constructed features including transport infrastructure (roads, railway airports), hydrography, contours, hypsometric and bathymetric layers, localities and some administrative boundaries, making this a useful general reference map.

  14. Statewide Crop Mapping

    • data.ca.gov
    • data.cnra.ca.gov
    • +2more
    data, gdb, html +3
    Updated Mar 3, 2025
    + more versions
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    Statewide Crop Mapping [Dataset]. https://data.ca.gov/dataset/statewide-crop-mapping
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    zip, data, shp, gdb, rest service, htmlAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    Description

    NOTICE TO PROVISIONAL 2023 LAND USE DATA USERS: Please note that on December 6, 2024 the Department of Water Resources (DWR) published the Provisional 2023 Statewide Crop Mapping dataset. The link for the shapefile format of the data mistakenly linked to the wrong dataset. The link was updated with the appropriate data on January 27, 2025. If you downloaded the Provisional 2023 Statewide Crop Mapping dataset in shapefile format between December 6, 2024 and January 27, we encourage you to redownload the data. The Map Service and Geodatabase formats were correct as posted on December 06, 2024.

    Thank you for your interest in DWR land use datasets.

    The California Department of Water Resources (DWR) has been collecting land use data throughout the state and using it to develop agricultural water use estimates for statewide and regional planning purposes, including water use projections, water use efficiency evaluations, groundwater model developments, climate change mitigation and adaptations, and water transfers. These data are essential for regional analysis and decision making, which has become increasingly important as DWR and other state agencies seek to address resource management issues, regulatory compliances, environmental impacts, ecosystem services, urban and economic development, and other issues. Increased availability of digital satellite imagery, aerial photography, and new analytical tools make remote sensing-based land use surveys possible at a field scale that is comparable to that of DWR’s historical on the ground field surveys. Current technologies allow accurate large-scale crop and land use identifications to be performed at desired time increments and make possible more frequent and comprehensive statewide land use information. Responding to this need, DWR sought expertise and support for identifying crop types and other land uses and quantifying crop acreages statewide using remotely sensed imagery and associated analytical techniques. Currently, Statewide Crop Maps are available for the Water Years 2014, 2016, 2018- 2022 and PROVISIONALLY for 2023.

    Historic County Land Use Surveys spanning 1986 - 2015 may also be accessed using the CADWR Land Use Data Viewer: https://gis.water.ca.gov/app/CADWRLandUseViewer.

    For Regional Land Use Surveys follow: https://data.cnra.ca.gov/dataset/region-land-use-surveys.

    For County Land Use Surveys follow: https://data.cnra.ca.gov/dataset/county-land-use-surveys.

    For a collection of ArcGIS Web Applications that provide information on the DWR Land Use Program and our data products in various formats, visit the DWR Land Use Gallery: https://storymaps.arcgis.com/collections/dd14ceff7d754e85ab9c7ec84fb8790a.

    Recommended citation for DWR land use data: California Department of Water Resources. (Water Year for the data). Statewide Crop Mapping—California Natural Resources Agency Open Data. Retrieved “Month Day, YEAR,” from https://data.cnra.ca.gov/dataset/statewide-crop-mapping.

  15. d

    Bedrock Geologic Map of Paterson Quad, NJ

    • datadiscoverystudio.org
    htm
    Updated Aug 9, 2016
    + more versions
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    (2016). Bedrock Geologic Map of Paterson Quad, NJ [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/e5f8308760d64daf9d3c751e6f5dd58a/html
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    htmAvailable download formats
    Dataset updated
    Aug 9, 2016
    Area covered
    New Jersey
    Description

    Bedrock Geologic Map of the Paterson Quadrangle, Passaic, Essex and Bergen Counties, New Jersey

  16. s

    Mississippi Isotherm Map 6 - 401 Deg F (205 Deg C)

    • cinergi.sdsc.edu
    png, zip
    Updated Oct 31, 1978
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    Champlin, Stephen D. (1978). Mississippi Isotherm Map 6 - 401 Deg F (205 Deg C) [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/394a7777982a49249dbf60caa31fe89a/html
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    png, zipAvailable download formats
    Dataset updated
    Oct 31, 1978
    Authors
    Champlin, Stephen D.
    Area covered
    Description

    This map is one of 18 produced for the final open-file report: An Investigation of Potential Geothermal Energy Sources in Mississippi, DoE Contract No. EG-77-S-05-5361; Edwin E. Luper, Principal Investigator; Mississippi Geological, Economic and Topographical Survey; Jackson, Mississippi; 1978. Maps produced include areas of central and southern Mississippi, including all or portions of Adams, Amite, Attala, Calhoun, Carroll, Claiborne, Clarke, Copiah, Covington, Forrest, Franklin, George, Greene, Hancock, Harrison, Hinds, Holmes, Humphreys, Issaquena, Jackson, Jasper, Jefferson, Jefferson Davis, Jones, Lamar, Lauderdale, Lawrence, Leake, Leflore, Lincoln, Madison, Marion, Newton, Pearl River, Perry, Pike, Rankin, Scott, Sharkey, Simpson, Smith, Stone, Sunflower, Walthall, Warren, Washington, Wayne, Wilkinson, and Yazoo Counties. Each map is contoured along a single isothermal surface: Maps 1-A through 1-E: 158F (70C) Maps 2-A through 2-E: 212F (100C) Maps 3-A through 3-E: 248F (120C) Map 4: 302F (150C) Map 5: 356F (180C) Finally, a location map of the 401F (205C) isotherm well is labeled Map 6. Maps 1, 2 and 3 were constructed at approximate scale of 1:250,000. These were broken into 5 sections each. The remaining maps were constructed at approximate scale of 1:500,000. These maps were contoured manually by the staff of the MGS in 1978. Many of the reference marks appear to be incorrectly drawn, so a best-fit methodology was used on the scanned maps to attempt to place them in their appropriate relative location in georeferencing.

  17. h

    IBEX-Hi maps in PNG display format

    • hpde.io
    • heliophysicsdata.gsfc.nasa.gov
    Updated Jul 7, 2020
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    (2020). IBEX-Hi maps in PNG display format [Dataset]. https://hpde.io/NASA/DisplayData/IBEX/Hi/Maps-PNG.html
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    Dataset updated
    Jul 7, 2020
    License

    https://cdla.io/permissive-1-0/https://cdla.io/permissive-1-0/

    Description

    As of this writing (11/5/2010), this product had been issued by the IBEX team in two releases. Release 1 IBEX-Hi map data are superseded by Release 2 data which are more time-extensive (12 months vs. 6 months) and are richer in content. While Release 1 IBEX-Hi map data and their documentation remain accessible at ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/ibex/hi/maps/digital_data/release_1/ and ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/ibex/hi/maps/images/release_1/, this description supports the retrieval and use of Release 2 data only.

    The Release_2 IBEX-Hi map data contain all-sky 6 deg x 6 deg resolution maps in J2000 ecliptic coordinates of energetic neutral fluxes reaching the near-Earth IBEX spacecraft from the distant heliosphere and heliosheath. Maps are in both a spacecraft frame and, via Compton-Getting corrections, a heliospheric frame. Basic maps are each accumulated over 6-months duration, so far for epochs 1 (12/2008-06/2009) and 2 (06/2009-12/2009). Maps are available for five of the energy bands of IBEX-Hi (0.52-0.95, 0.84-1.55, 1.36-2.50, 1.99-3.75, 3.13-6.00 keV) and, for the heliospheric frame only, also for six monoenergetic points (0.71, 1.11, 1.74, 2.73, 3.0, 4.29 keV). In addition, monoenergetic maps are available as summed over the data collected during epochs 1 and 2 combined. All maps are available in digital text format and in PNG image format (considered as separate data sets within VEPO).

    Given that VHO/VEPO typically displays clickable granule (file) names for any given specification of data product and time span, and given that IBEX-Hi digital maps and PNG-formatted display maps are each considered single data products, a request for data from either product will yield .GE.20 names of files containing data spanning or within the requested time span. For IBEX, the names shown by VHO/VEPO actually have the form subdirectory/filename. The subdirectories are named map1, map1cg, map2, map2cg, and map-combined. Maps involving "1" ("2") are from the first (second) 6-month epoch, while "combined" means composed of data taken during epochs 1 and 2. Maps involving (not involving) "cg" means heliospheric frame (spacecraft frame). In the first four subdirectories, file names are of the forms ha60.hide-trp-flux100-hi-N-flux.ext and ha60.hide-trp-mono_80-P.PP-flux.ext, where "ext" is "png" or "txt" according to which product is requested, N is the energy step number for the IBEX-Hi instrument (2-6), P.PP is the energy level, in keV, of a monoenergetic flux. Files in the "combined" subdirectories are named "combined-P.PP-flux.ext, where P.PP has the same meaning as above.

    In addition to the flux maps to which VEPO provides access, several map files whose data support the determination of the fluxes are also available in the underlying nssdcftp directories and are described by aareadme files there (and by IBEX web pages at SWRI: http://ibex.swri.edu/ibexpublicdata/Data_Release_2/)

  18. e

    State map 1:5 000 new form raster data - Sušice 6-6

    • data.europa.eu
    Updated Jul 3, 2022
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    (2022). State map 1:5 000 new form raster data - Sušice 6-6 [Dataset]. https://data.europa.eu/data/datasets/cz-cuzk-sm5-rb-susi66?locale=mt
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    Dataset updated
    Jul 3, 2022
    Description

    The product represents a new design of the State Map at a scale of 1:5,000 in raster form, whose advantages are recency and colour processing. The map contains planimetry based on cadastral map, altimetry adopted from the altimetry part of ZABAGED and map lettering based on database of geographic names Geonames and abbreviations of feature type signification coming up from attributes of selected ZABAGED features. The cartographic visualisation is solved automatically without manual works of a cartographer. This new design of the SM 5 is repeatedly generated once a year on the part of the Czech territory where the vector form of cadastral map is available. Therefore, part of export units (map sheets of SM 5) has not a full coverage (price of such export unit is then proportionally reduced).

  19. d

    QMAP 6 Raukumara. Omaio. Data source sheet - Dataset - data.govt.nz -...

    • catalogue.data.govt.nz
    + more versions
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    QMAP 6 Raukumara. Omaio. Data source sheet - Dataset - data.govt.nz - discover and use data [Dataset]. https://catalogue.data.govt.nz/dataset/qmap-6-raukumara-omaio-data-source-sheet1
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    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    New Zealand, Raukumara Range, Omaio
    Description

    This is a working unpublished document based on the NZMS260 Map Series, and is a precursor to the publication of QMAP geological map 6 Raukumara. Topographic map on paper, with handwritten annotations in pencil, rich in detail, in excellent condition. - Map size: A1. Keywords: OMAIO; QMAP; TOPOGRAPHIC MAPS

  20. f

    Summary of six component maps used to construct the cotton HDC map.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Anna Blenda; David D. Fang; Jean-François Rami; Olivier Garsmeur; Feng Luo; Jean-Marc Lacape (2023). Summary of six component maps used to construct the cotton HDC map. [Dataset]. http://doi.org/10.1371/journal.pone.0045739.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anna Blenda; David D. Fang; Jean-François Rami; Olivier Garsmeur; Feng Luo; Jean-Marc Lacape
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    1)all female and recurrent parents belong to G. hirsutum, and all male parents belong to G. barbadense.2)T3, GV, TH and E3 maps were constructed using JoinMap program. PK and CH maps were constructed using MapMaker program.3)including target region amplification polymorphism (TRAP), sequence-related amplified polymorphism (SRAP), isozyme, gene-derived, and morphological markers.4)the loci not present in any one of the other five maps.5)TRAP, SRAP, morphological and some AFLP markers could not be easily traced back to their description, and were not included in consensus map integration.6)a consensus map constructed with JoinMap (combine data for map integration) using 75 BC1 and 140 RIL populations.

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Chesapeake Geoplatform (2020). Phase 6 Map Viewer [Dataset]. https://hamhanding-dcdev.opendata.arcgis.com/documents/f4a3eeeee4a64d089c2a91239d871f50

Phase 6 Map Viewer

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Dataset updated
Apr 14, 2020
Dataset authored and provided by
Chesapeake Geoplatform
Description

Open the Data Resource: https://gis.chesapeakebay.net/mpa/scenarioviewer/ This viewer provides basic mapping functionality for a subset of Public Reports for Load Scenarios available from the CAST Tool. It also contains map layers for several commonly requested data layers associated with the Chesapeake Bay suite of models.

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