88 datasets found
  1. a

    DOC Public Conservation Land

    • doc-deptconservation.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Mar 7, 2018
    + more versions
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    DOC_admin (2018). DOC Public Conservation Land [Dataset]. https://doc-deptconservation.opendata.arcgis.com/datasets/72354ba9bf7a4706af3fdfe60f86eea1
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    Dataset updated
    Mar 7, 2018
    Dataset authored and provided by
    DOC_admin
    License

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

    Area covered
    Description

    Spatial representation of DOC's land management units defined by various acts of parliament and legislation. The attributes in this dataset are derived from the National Property and Land Information System (NaPALIS), which is a centralised database for all Land Information New Zealand (LINZ) and Department of Conservation (DOC) administered land. Public Conservation Land (abbreviated to PCL) parcels are defined geographically, recognised, dedicated and managed, through legal or other effective means, to achieve the long term conservation of nature with associated ecosystem services and cultural values.New Zealand's Public Conservation Land is managed under four main laws.Conservation Act 1987National Parks Act 1980Reserves Act 1977Wildlife Act 1953These manifest in numerous different types of protected area, the most important of which are:National ParksConservation ParksNature ReservesScientific ReservesScenic ReservesRecreation (and other) ReservesN.B. Combining Public Conservation Land, with Marine Reserves and Sanctuaries to Protect Marine Mammals is collectively known as Public Conservation Areas (PCA).*****LICENCE*****This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.*****DISCLAIMER***** 1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied.*****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date.*****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource.

  2. a

    DOC Recreational Hunting Permit Areas

    • hub.arcgis.com
    • doc-deptconservation.opendata.arcgis.com
    Updated Mar 19, 2018
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    DOC_admin (2018). DOC Recreational Hunting Permit Areas [Dataset]. https://hub.arcgis.com/items/f8fb2864d9a745b59152afb0ea4ca2ae
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    Dataset updated
    Mar 19, 2018
    Dataset authored and provided by
    DOC_admin
    License

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

    Area covered
    Description

    Department of Conservation - Recreation Hunting Permit Areas. This dataset is the Department of Conservation's record of those parts of Public Conservation Land where recreational hunting may take place. If hunting within these areas you MUST obtain a hunting permit first; either online at Things to do - Hunting or from your local DOC office. *****DISCLAIMER***** 1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied. *****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date. *****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource. *****LICENCE***** This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.

  3. a

    LWRP – Department of Conservation Estate/Owned land - Natural State Water...

    • hub.arcgis.com
    • opendata.canterburymaps.govt.nz
    Updated Aug 24, 2016
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    Canterbury Regional Council (2016). LWRP – Department of Conservation Estate/Owned land - Natural State Water Quality Areas [Dataset]. https://hub.arcgis.com/maps/ecan::lwrp-department-of-conservation-estate-owned-land-natural-state-water-quality-areas
    Explore at:
    Dataset updated
    Aug 24, 2016
    Dataset authored and provided by
    Canterbury Regional Council
    License

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

    Area covered
    Description

    Public Conservation Land ("DOC Estate") for the South Island. Supplied by DOC Canterbury March 2009.

    National Conservation Unit dataset. Nationally compiled dataset containing geospatial definitions of DOC management units (conservation units) defined by various acts of parliament and legislation.

    The national conservation unit featureclass is integrated with the Department's national land register to provide textual descriptions of land administered by the Department.

    Geospatial definition of Land administered by the Department of Conservation under legislation, and/or Land of interest to the Department.

  4. K

    DOC Recreational Hunting Permit Areas

    • koordinates.com
    csv, dwg, geodatabase +6
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    Department of Conservation, DOC Recreational Hunting Permit Areas [Dataset]. https://koordinates.com/layer/8611-doc-recreational-hunting-permit-areas/
    Explore at:
    mapinfo tab, pdf, mapinfo mif, geopackage / sqlite, geodatabase, csv, shapefile, dwg, kmlAvailable download formats
    Dataset authored and provided by
    Department of Conservation
    License

    https://koordinates.com/license/attribution-3-0-new-zealand/https://koordinates.com/license/attribution-3-0-new-zealand/

    Area covered
    Description

    Recreation Hunting Permit Areas - spatial representation of those parts of DOC's Public Conservation Land where recreational hunting may take place. If hunting within these areas you MUST obtain a hunting permit first; either online at http://www.doc.govt.nz/parks-and-recreation/hunting/ or from your local DOC office. These data are based upon land parcels (cadastre) but are not suitable for accurate boundary definition.

  5. a

    DOC Campsites

    • doc-deptconservation.opendata.arcgis.com
    • hub.arcgis.com
    Updated Sep 17, 2018
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    DOC_admin (2018). DOC Campsites [Dataset]. https://doc-deptconservation.opendata.arcgis.com/datasets/c417dcd7c9fb47b489df1f9f0a673190
    Explore at:
    Dataset updated
    Sep 17, 2018
    Dataset authored and provided by
    DOC_admin
    Area covered
    Description

    Department of Conservation (DOC) - Campsites. Dataset shows all campsites.

    If you intend to stay in a campsite, please confirm with your local office or the DOC website that it is available and not under a temporary or more permanent closure before departing.

    Please note some campsites require advance booking, contact your local office or visit the DOC Website for more information.

    Refreshed weekly and reflects the content on the website.*****LICENCE*****This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.*****DISCLAIMER***** 1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied.*****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date.*****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource

  6. a

    DOC Walking Experiences

    • doc-deptconservation.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 17, 2019
    + more versions
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    DOC_admin (2019). DOC Walking Experiences [Dataset]. https://doc-deptconservation.opendata.arcgis.com/maps/e3f63067394a46238c92f9aed63ff78b
    Explore at:
    Dataset updated
    Jan 17, 2019
    Dataset authored and provided by
    DOC_admin
    License

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

    Area covered
    Description

    Department of Conservation (DOC) - Recreation track lines (approx. centreline). Dataset shows tracks managed for walking and tramping.

    If you intend to walk a track, please confirm with your local office or the DOC website that the track isn't under a temporary or more permanent closure before embarking.

    Refreshed weekly and reflects the content on the website.*****LICENCE*****This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.*****DISCLAIMER***** 1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied.*****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date.*****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource.

  7. K

    DOC Operations districts

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Apr 18, 2017
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    Department of Conservation (2017). DOC Operations districts [Dataset]. https://koordinates.com/layer/37078-doc-operations-districts/
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    mapinfo mif, kml, geopackage / sqlite, pdf, csv, dwg, shapefile, mapinfo tab, geodatabaseAvailable download formats
    Dataset updated
    Apr 18, 2017
    Dataset authored and provided by
    Department of Conservation
    License

    https://koordinates.com/license/attribution-3-0-new-zealand/https://koordinates.com/license/attribution-3-0-new-zealand/

    Area covered
    Description

    These boundaries represent the current DOC structure. The boundaries replace the existing Services District boundaries which were in place from 2 September 2013.

    *****LICENCE*****

    This work is licensed under the Creative Commons Attribution 3.0 New Zealand License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/nz/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.

    *****DISCLAIMER*****

    1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry.
    2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information.
    3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied.

    *****GUIDELINES FOR THE USE OF THE INFORMATION*****

    1. Care should be taken in deriving conclusions from any data or information supplied.
    2. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date.

    *****COPYRIGHT OBLIGATIONS*****

    1. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property.
    2. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user.
    3. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year].
    4. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource.
  8. a

    DOC Marine Reserves

    • doc-deptconservation.opendata.arcgis.com
    • catalogue.data.govt.nz
    • +2more
    Updated Nov 7, 2017
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    DOC_admin (2017). DOC Marine Reserves [Dataset]. https://doc-deptconservation.opendata.arcgis.com/datasets/0e74f9682502447c9a14d51340512361
    Explore at:
    Dataset updated
    Nov 7, 2017
    Dataset authored and provided by
    DOC_admin
    License

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

    Description

    Marine Reserve's are the government's most comprehensive tool in the provision of area-based biodiversity protection in the marine environment. Marine reserves are specified areas of the sea and foreshore that are managed to preserve themin their natural state as the habitat of marine life for scientific study.Marine reserves may be established in areas that contain underwater scenery, natural features, or marine life of such distinctive quality, or so typical, beautiful or unique that their continued preservation is in the national interest. Under the Marine Reserves Act 1971, the Department of Conservation is responsible for caring for and managing marine reserves. Management functions include marking marine reserve boundaries, law enforcement, issuing scientific permits and monitoring environmental changes.Further information about any particular Marine Reserve with associated map and bounding co-ordinates can be found at: https://www.doc.govt.nz/nature/habitats/marine/marine-reserves-a-z/*****LICENCE*****This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, MountainView, California, 94041, USA. *****DISCLAIMER*****1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied. *****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date. *****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource.

  9. c

    Land Cover 1992-2020

    • cacgeoportal.com
    • hub.arcgis.com
    Updated Mar 30, 2024
    + more versions
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    Central Asia and the Caucasus GeoPortal (2024). Land Cover 1992-2020 [Dataset]. https://www.cacgeoportal.com/maps/bb0e4bcd891c4679881f80997c9b8871
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    Dataset updated
    Mar 30, 2024
    Dataset authored and provided by
    Central Asia and the Caucasus GeoPortal
    Area covered
    Description

    This webmap is a subset of Global Landcover 1992 - 2020 Image Layer. You can access the source data from here. This layer is a time series of the annual ESA CCI (Climate Change Initiative) land cover maps of the world. ESA has produced land cover maps for the years 1992-2020. These are available at the European Space Agency Climate Change Initiative website.Time Extent: 1992-2020Cell Size: 300 meterSource Type: ThematicPixel Type: 8 Bit UnsignedData Projection: GCS WGS84Mosaic Projection: Web Mercator Auxiliary SphereExtent: GlobalSource: ESA Climate Change InitiativeUpdate Cycle: Annual until 2020, no updates thereafterWhat can you do with this layer?This layer may be added to ArcGIS Online maps and applications and shown in a time series to watch a "time lapse" view of land cover change since 1992 for any part of the world. The same behavior exists when the layer is added to ArcGIS Pro.In addition to displaying all layers in a series, this layer may be queried so that only one year is displayed in a map. This layer can be used in analysis. For example, the layer may be added to ArcGIS Pro with a query set to display just one year. Then, an area count of land cover types may be produced for a feature dataset using the zonal statistics tool. Statistics may be compared with the statistics from other years to show a trend.To sum up area by land cover using this service, or any other analysis, be sure to use an equal area projection, such as Albers or Equal Earth.Different Classifications Available to MapFive processing templates are included in this layer. The processing templates may be used to display a smaller set of land cover classes.Cartographic Renderer (Default Template)Displays all ESA CCI land cover classes.*Forested lands TemplateThe forested lands template shows only forested lands (classes 50-90).Urban Lands TemplateThe urban lands template shows only urban areas (class 190).Converted Lands TemplateThe converted lands template shows only urban lands and lands converted to agriculture (classes 10-40 and 190).Simplified RendererDisplays the map in ten simple classes which match the ten simplified classes used in 2050 Land Cover projections from Clark University.Any of these variables can be displayed or analyzed by selecting their processing template. In ArcGIS Online, select the Image Display Options on the layer. Then pull down the list of variables from the Renderer options. Click Apply and Close. In ArcGIS Pro, go into the Layer Properties. Select Processing Templates from the left hand menu. From the Processing Template pull down menu, select the variable to display.Using TimeBy default, the map will display as a time series animation, one year per frame. A time slider will appear when you add this layer to your map. To see the most current data, move the time slider until you see the most current year.In addition to displaying the past quarter century of land cover maps as an animation, this time series can also display just one year of data by use of a definition query. For a step by step example using ArcGIS Pro on how to display just one year of this layer, as well as to compare one year to another, see the blog called Calculating Impervious Surface Change.Hierarchical ClassificationLand cover types are defined using the land cover classification (LCCS) developed by the United Nations, FAO. It is designed to be as compatible as possible with other products, namely GLCC2000, GlobCover 2005 and 2009.This is a heirarchical classification system. For example, class 60 means "closed to open" canopy broadleaved deciduous tree cover. But in some places a more specific type of broadleaved deciduous tree cover may be available. In that case, a more specific code 61 or 62 may be used which specifies "open" (61) or "closed" (62) cover.Land Cover ProcessingTo provide consistency over time, these maps are produced from baseline land cover maps, and are revised for changes each year depending on the best available satellite data from each period in time. These revisions were made from AVHRR 1km time series from 1992 to 1999, SPOT-VGT time series between 1999 and 2013, and PROBA-V data for years 2013, 2014 and 2015. When MERIS FR or PROBA-V time series are available, changes detected at 1 km are re-mapped at 300 m. The last step consists in back- and up-dating the 10-year baseline LC map to produce the 24 annual LC maps from 1992 to 2015.Source dataThe datasets behind this layer were extracted from NetCDF files and TIFF files produced by ESA. Years 1992-2015 were acquired from ESA CCI LC version 2.0.7 in TIFF format, and years 2016-2018 were acquired from version 2.1.1 in NetCDF format. These are downloadable from ESA with an account, after agreeing to their terms of use. https://maps.elie.ucl.ac.be/CCI/viewer/download.phpCitationESA. Land Cover CCI Product User Guide Version 2. Tech. Rep. (2017). Available at: maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdfMore technical documentation on the source datasets is available here:https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=doc*Index of all classes in this layer:10 Cropland, rainfed11 Herbaceous cover12 Tree or shrub cover20 Cropland, irrigated or post-flooding30 Mosaic cropland (>50%) / natural vegetation (tree, shrub, herbaceous cover) (<50%)40 Mosaic natural vegetation (tree, shrub, herbaceous cover) (>50%) / cropland (<50%)50 Tree cover, broadleaved, evergreen, closed to open (>15%)60 Tree cover, broadleaved, deciduous, closed to open (>15%)61 Tree cover, broadleaved, deciduous, closed (>40%)62 Tree cover, broadleaved, deciduous, open (15-40%)70 Tree cover, needleleaved, evergreen, closed to open (>15%)71 Tree cover, needleleaved, evergreen, closed (>40%)72 Tree cover, needleleaved, evergreen, open (15-40%)80 Tree cover, needleleaved, deciduous, closed to open (>15%)81 Tree cover, needleleaved, deciduous, closed (>40%)82 Tree cover, needleleaved, deciduous, open (15-40%)90 Tree cover, mixed leaf type (broadleaved and needleleaved)100 Mosaic tree and shrub (>50%) / herbaceous cover (<50%)110 Mosaic herbaceous cover (>50%) / tree and shrub (<50%)120 Shrubland121 Shrubland evergreen122 Shrubland deciduous130 Grassland140 Lichens and mosses150 Sparse vegetation (tree, shrub, herbaceous cover) (<15%)151 Sparse tree (<15%)152 Sparse shrub (<15%)153 Sparse herbaceous cover (<15%)160 Tree cover, flooded, fresh or brakish water170 Tree cover, flooded, saline water180 Shrub or herbaceous cover, flooded, fresh/saline/brakish water190 Urban areas200 Bare areas201 Consolidated bare areas202 Unconsolidated bare areas210 Water bodies

  10. Global Land Cover 1992-2020

    • climate.esri.ca
    • cacgeoportal.com
    • +7more
    Updated Apr 2, 2020
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    Esri (2020). Global Land Cover 1992-2020 [Dataset]. https://climate.esri.ca/datasets/1453082255024699af55c960bc3dc1fe
    Explore at:
    Dataset updated
    Apr 2, 2020
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer is a time series of the annual ESA CCI (Climate Change Initiative) land cover maps of the world. ESA has produced land cover maps for the years 1992-2020. These are available at the European Space Agency Climate Change Initiative website.Time Extent: 1992-2020Cell Size: 300 meter Source Type: ThematicPixel Type: 8 Bit UnsignedData Projection: GCS WGS84Mosaic Projection: Web Mercator Auxiliary Sphere Extent: GlobalSource: ESA Climate Change InitiativeUpdate Cycle: Annual until 2020, no updates thereafterWhat can you do with this layer? This layer may be added to ArcGIS Online maps and applications and shown in a time series to watch a "time lapse" view of land cover change since 1992 for any part of the world. The same behavior exists when the layer is added to ArcGIS Pro. In addition to displaying all layers in a series, this layer may be queried so that only one year is displayed in a map. This layer can be used in analysis. For example, the layer may be added to ArcGIS Pro with a query set to display just one year. Then, an area count of land cover types may be produced for a feature dataset using the zonal statistics tool. Statistics may be compared with the statistics from other years to show a trend. To sum up area by land cover using this service, or any other analysis, be sure to use an equal area projection, such as Albers or Equal Earth. Different Classifications Available to Map Five processing templates are included in this layer. The processing templates may be used to display a smaller set of land cover classes.Cartographic Renderer (Default Template)Displays all ESA CCI land cover classes.*Forested lands TemplateThe forested lands template shows only forested lands (classes 50-90).Urban Lands TemplateThe urban lands template shows only urban areas (class 190).Converted Lands TemplateThe converted lands template shows only urban lands and lands converted to agriculture (classes 10-40 and 190).Simplified RendererDisplays the map in ten simple classes which match the ten simplified classes used in 2050 Land Cover projections from Clark University.Any of these variables can be displayed or analyzed by selecting their processing template. In ArcGIS Online, select the Image Display Options on the layer. Then pull down the list of variables from the Renderer options. Click Apply and Close. In ArcGIS Pro, go into the Layer Properties. Select Processing Templates from the left hand menu. From the Processing Template pull down menu, select the variable to display. Using Time By default, the map will display as a time series animation, one year per frame. A time slider will appear when you add this layer to your map. To see the most current data, move the time slider until you see the most current year. In addition to displaying the past quarter century of land cover maps as an animation, this time series can also display just one year of data by use of a definition query. For a step by step example using ArcGIS Pro on how to display just one year of this layer, as well as to compare one year to another, see the blog called Calculating Impervious Surface Change. Hierarchical ClassificationLand cover types are defined using the land cover classification (LCCS) developed by the United Nations, FAO. It is designed to be as compatible as possible with other products, namely GLCC2000, GlobCover 2005 and 2009. This is a heirarchical classification system. For example, class 60 means "closed to open" canopy broadleaved deciduous tree cover. But in some places a more specific type of broadleaved deciduous tree cover may be available. In that case, a more specific code 61 or 62 may be used which specifies "open" (61) or "closed" (62) cover. Land Cover Processing To provide consistency over time, these maps are produced from baseline land cover maps, and are revised for changes each year depending on the best available satellite data from each period in time. These revisions were made from AVHRR 1km time series from 1992 to 1999, SPOT-VGT time series between 1999 and 2013, and PROBA-V data for years 2013, 2014 and 2015. When MERIS FR or PROBA-V time series are available, changes detected at 1 km are re-mapped at 300 m. The last step consists in back- and up-dating the 10-year baseline LC map to produce the 24 annual LC maps from 1992 to 2015. Source data The datasets behind this layer were extracted from NetCDF files and TIFF files produced by ESA. Years 1992-2015 were acquired from ESA CCI LC version 2.0.7 in TIFF format, and years 2016-2018 were acquired from version 2.1.1 in NetCDF format. These are downloadable from ESA with an account, after agreeing to their terms of use. https://maps.elie.ucl.ac.be/CCI/viewer/download.php CitationESA. Land Cover CCI Product User Guide Version 2. Tech. Rep. (2017). Available at: maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdfMore technical documentation on the source datasets is available here:https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=doc*Index of all classes in this layer:10 Cropland, rainfed11 Herbaceous cover12 Tree or shrub cover20 Cropland, irrigated or post-flooding30 Mosaic cropland (>50%) / natural vegetation (tree, shrub, herbaceous cover) (<50%)40 Mosaic natural vegetation (tree, shrub, herbaceous cover) (>50%) / cropland (<50%) 50 Tree cover, broadleaved, evergreen, closed to open (>15%)60 Tree cover, broadleaved, deciduous, closed to open (>15%)61 Tree cover, broadleaved, deciduous, closed (>40%)62 Tree cover, broadleaved, deciduous, open (15-40%)70 Tree cover, needleleaved, evergreen, closed to open (>15%)71 Tree cover, needleleaved, evergreen, closed (>40%)72 Tree cover, needleleaved, evergreen, open (15-40%)80 Tree cover, needleleaved, deciduous, closed to open (>15%)81 Tree cover, needleleaved, deciduous, closed (>40%)82 Tree cover, needleleaved, deciduous, open (15-40%)90 Tree cover, mixed leaf type (broadleaved and needleleaved)100 Mosaic tree and shrub (>50%) / herbaceous cover (<50%)110 Mosaic herbaceous cover (>50%) / tree and shrub (<50%)120 Shrubland121 Shrubland evergreen122 Shrubland deciduous130 Grassland140 Lichens and mosses150 Sparse vegetation (tree, shrub, herbaceous cover) (<15%)151 Sparse tree (<15%)152 Sparse shrub (<15%)153 Sparse herbaceous cover (<15%)160 Tree cover, flooded, fresh or brakish water170 Tree cover, flooded, saline water180 Shrub or herbaceous cover, flooded, fresh/saline/brakish water190 Urban areas200 Bare areas201 Consolidated bare areas202 Unconsolidated bare areas210 Water bodies

  11. LINZ Managed Crown Property

    • data.linz.govt.nz
    • geodata.nz
    csv, dwg, geodatabase +6
    Updated Mar 15, 2016
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    Land Information New Zealand (2016). LINZ Managed Crown Property [Dataset]. https://data.linz.govt.nz/layer/53358-linz-managed-crown-property/
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    dwg, pdf, geopackage / sqlite, kml, mapinfo mif, mapinfo tab, shapefile, geodatabase, csvAvailable download formats
    Dataset updated
    Mar 15, 2016
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    This layer includes all Crown Land and Properties managed by LINZ which have been identified spatially and can include properties managed by LINZ on behalf of other agencies. The attributes in this dataset are derived from the National Property and Land Information System (NaPALIS), which is a centralised database for all Land Information New Zealand (LINZ) and Department of Conservation (DOC) administered land.

    The boundaries of many properties are linked to the applicable Landonline Primary Parcel(s), but in some cases the boundaries may have been drawn in as unsurveyed parcels to varying degrees of accuracy. As such please note that the boundaries are indicative only. The layer excludes any LINZ managed properties which do not have an identified location or extent.

    More information on Crown Property can be found under the Crown Property section on the LINZ Website. A subset of Crown Property can be found in the South Island Pastoral Leases layer. A table of Property associations to Primary Parcels is published in the LDS here.

    APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services

  12. GIS Map of Mosaicked LandSat 7 ETM+ Satellite Imagery of the Marshall...

    • search.dataone.org
    • datasets.ai
    • +2more
    Updated Mar 24, 2016
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    NOAA NCEI Environmental Data Archive (2016). GIS Map of Mosaicked LandSat 7 ETM+ Satellite Imagery of the Marshall Islands, Micronesia Federated States, and the Republic of Palau from January 1, 1999 to December 31, 2003 (NODC Accession 0067475) [Dataset]. https://search.dataone.org/view/%7B35D2031E-1411-4B8A-9151-A424959506BD%7D
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    Dataset updated
    Mar 24, 2016
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Time period covered
    Jan 1, 1999 - Dec 31, 2003
    Area covered
    Description

    These maps show for the first time an accurate georeferenced mosaic of the Marshall Islands, the Federated States of Micronesia, the Republic of Palau and their respective corresponding shallow water areas. Shallow-water (generally, less than 30 meters) bank and land areas in these areas were identified through analysis of Landsat 7 ETM+ satellite imagery. The mosaics are laid over ETOPO2 Bathymetric Data to provide an enhanced understanding of how the Atolls and Islands fit together. In addition selected islands and atolls are shown next to the mosaic. This project was conducted in support of the U.S. Coral Reef Task Force.

    Data in this accession are best used with appropriate Geographic Information System (GIS) software.

  13. NOAA NCCOS Assessment: Prioritizing Areas for Future Seafloor Mapping and...

    • zenodo.org
    • datasets.ai
    • +3more
    zip
    Updated Oct 26, 2023
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    Jennifer Kraus; Bethany Williams; Tim Battista; Ken Buja; Jennifer Kraus; Bethany Williams; Tim Battista; Ken Buja (2023). NOAA NCCOS Assessment: Prioritizing Areas for Future Seafloor Mapping and Exploration in the U.S. Caribbean from 2019-06-28 to 2019-07-28 [Dataset]. http://doi.org/10.5281/zenodo.3909729
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    zipAvailable download formats
    Dataset updated
    Oct 26, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jennifer Kraus; Bethany Williams; Tim Battista; Ken Buja; Jennifer Kraus; Bethany Williams; Tim Battista; Ken Buja
    License

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

    Area covered
    Caribbean, United States
    Description

    Spatial information about the seafloor is critical for decision-making by marine resource science, management and tribal organizations. Coordinating data needs can help organizations leverage collective resources to meet shared goals. To help enable this coordination, the National Oceanic and Atmospheric Administration (NOAA) National Centers for Coastal Ocean Science (NCCOS) developed a spatial framework, process and online application to identify common data collection priorities for seafloor mapping, sampling and visual surveys off the US Caribbean territories of Puerto Rico and the US Virgin Islands. Fifteen participants from local federal, state, and academic institutions entered their priorities in an online application, using virtual coins to denote their priorities in 2.5x2.5 kilometer (nearshore) and 10x10 kilometer (offshore) grid size. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important and what data types were needed. Results were analyzed and mapped using statistical techniques to identify significant relationships between priorities, reasons for those priorities and data needs. Fifteen high priority locations were broadly identified for future mapping, sampling and visual surveys. These locations include: (1) a coastal location in northwest Puerto Rico (Punta Jacinto to Punta Agujereada), (2) a location approximately 11 km off Punta Agujereada, (3) coastal Rincon, (4) San Juan, (5) Punta Arenas (west of Vieques Island), (6) southwest Vieques, (7) Grappler Seamount, (8) southern Virgin Passage, (9) north St. Thomas, (10) east St. Thomas, (11) south St. John, (12) west offshore St. Croix, (13) west nearshore St. Croix, (14) east nearshore St. Croix, and (15) east offshore St. Croix. Participants consistently selected (1) Biota/Important Natural Area, (2) Commercial Fishing and (3) Coastal/Marine Hazards as their top reasons (i.e., justifications) for prioritizing locations, and (1) Benthic Habitat Map and (2) Sub-bottom Profiles as their top data or product needs. This ESRI shapefile summarizes the results from this spatial prioritization effort. This information will enable US Caribbean organization to more efficiently leverage resources and coordinate their mapping of high priority locations in the region.

    This effort was funded by NOAA’s NCCOS and supported by CRCP. The overall goal of the project was to systematically gather and quantify suggestions for seafloor mapping, sampling and visual surveys in the US Caribbean territories of Puerto Rico and the US Virgin Islands. The results are will help organizations in the US Caribbean identify locations where their interests overlap with other organizations, to coordinate their data needs and to leverage collective resources to meet shared goals.

    There were four main steps in the US Caribbean spatial prioritization process. The first step was to identify the technical advisory team, which included the 4 CRCP members: 2 from each the Puerto Rico and USVI regions. This advisory team recommended 33 organizations to participate in the prioritization. Each organization was then requested to designate a single representative, or respondent, who would have access to the web tool. The respondent would be responsible for communicating with their team about their needs and inputting their collective priorities. Step two was to develop the spatial framework and an online application. To do this, the US Caribbean was divided into 4 sub regions: nearshore and offshore for both Puerto Rico and USVI. The total inshore regions had 2,387 square grid cells approximately 2.5x2.5 km in size. The total offshore regions consisted of 438 square grid cells 10x10 km in size. Existing relevant spatial datasets (e.g., bathymetry, protected area boundaries, etc.) were compiled to help participants understand information and data gaps and to identify areas they wanted to prioritize for future data collections. These spatial datasets were housed in the online application, which was developed using Esri’s Web AppBuilder. In step three, this online application was used by 15 participants to enter their priorities in each subregion of interest. Respondents allocated virtual coins in the grid cells to denote their priorities for each region. Respondents were given access to all four regions, despite which territory they represented, but were not required to provide input into each region. Grid cells with more coins were higher priorities than cells with fewer coins. Participants also reported why these locations were important and what data types were needed. Coin values were standardized across the nearshore and offshore zones and used to identify spatial patterns across the US Caribbean region as a whole. The number of coins were standardized because each subregion had a different number of grid cells and participants. Standardized coin values were analyzed and mapped using statistical techniques, including hierarchical cluster analysis, to identify significant relationships between priorities, reasons for those priorities and data needs. This ESRI shapefile contains the 2.5x2.5 km and 10x10 km grid cells used in this prioritization effort and associated the standardized coin values overall, as well as by organization, justification and product. For a complete description of the process and analysis please see: Kraus et al. 2020.

  14. a

    DOC Mountain Bike Tracks

    • doc-deptconservation.opendata.arcgis.com
    Updated Jan 15, 2019
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    DOC_admin (2019). DOC Mountain Bike Tracks [Dataset]. https://doc-deptconservation.opendata.arcgis.com/maps/0fdd22944b1b42ec87f54c11790208f6
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    Dataset updated
    Jan 15, 2019
    Dataset authored and provided by
    DOC_admin
    License

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

    Area covered
    Description

    DOC's Mountain Bike Tracks dataset (tracks where mountain biking is permitted). Mountain Bike tracks are identified where mountain biking is a permitted activity, as identified by the DOC recreation staff. Refreshed weekly and reflects the content on the website.*****LICENCE*****This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.*****DISCLAIMER***** 1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied.*****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date.*****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resourceRegion of New Zealand

  15. e

    Map visualisation service (WMS) of the dataset: Specific requirements of the...

    • data.europa.eu
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    Map visualisation service (WMS) of the dataset: Specific requirements of the PLU (Doc. of 30.01.2015) of the municipality of Venesmes [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-cabd6b38-e317-4211-ba96-642666e89c00?locale=en
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    Description

    The requirements of a planning document are defined in Article R123-11 of the Urban Planning Code. A prescription is in the form of surface, linear or point information that appears on the graphical documents of the PLU or the POS. A prescription that overlaps with an area of the urban planning document generally imposes an additional constraint on the settlement of the area.

  16. g

    Map Viewing Service (WMS) of the data batch: Pos (doc. of 11.04.2000) from...

    • gimi9.com
    Updated Sep 17, 2021
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    (2021). Map Viewing Service (WMS) of the data batch: Pos (doc. of 11.04.2000) from the municipality of Cours-les-Barres | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-srv-e7099c2a-b565-4bf5-9651-24be7448a449/
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    Dataset updated
    Sep 17, 2021
    License

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

    Area covered
    Cours-les-Barres
    Description

    This COVADIS data standard concerns local planning documents (LDPs) and land use plans (POSs that are PLU). This data standard provides a technical framework describing in detail how to dematerialise these planning documents into a spatial database that can be used by a GIS tool and interoperable. This standard of data concerns both the graphic zoning plans, the superimposed requirements and the regulations applying to each type of area.This standard of COVADIS data was developed on the basis of the specifications for the dematerialisation of urban planning documents updated in 2012 by the CNIG, itself based on the consolidated version of the urban planning code dated 16 March 2012. The recommendations of these two documents are consistent even if their purpose is not the same. The COVADIS data standard provides definitions and a structure for organising and storing existing PLU/POS spatial data in an infrastructure in digital form, while the CNIG specification serves to frame the digitisation of such data. The ‘Data Structure’ section presented in this COVADIS standard provides additional recommendations for the storage of data files (see Part C). These are choices specific to the MAA and MEDDE data infrastructure that do not apply outside their context. Communal maps are the subject of another COVADIS data standard.

  17. n

    1999 Photomosaics of Puerto Rico and U.S. Virgin Islands Utilized to Map...

    • cmr.earthdata.nasa.gov
    • fisheries.noaa.gov
    • +1more
    Updated Jun 27, 2024
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    (2024). 1999 Photomosaics of Puerto Rico and U.S. Virgin Islands Utilized to Map Shallow Water Benthic Habitats of the Region [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2102656765-NOAA_NCEI/1
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    Dataset updated
    Jun 27, 2024
    Time period covered
    Feb 1, 1999
    Area covered
    U.S. Virgin Islands, Puerto Rico
    Description

    Habitat maps of Puerto Rico and the U.S. Virgin Islands were created by visual interpretation of aerial photographs using the Habitat Digitizer Extension. Aerial photographs are valuable tools for natural resource managers and researchers since they provide an excellent record of the location and extent of habitats. However, spatial distortions in aerial photographs due to such factors as camera angle, lens characteristics, and relief displacement must be accounted for during analysis to prevent incorrect measurements of area, distance, and other spatial parameters. These distortions of scale within an image can be removed through orthorectification. During orthorectification, digital scans of aerial photos are subjected to algorithms that eliminate each source of spatial distortion. The result is a georeferenced digital mosaic of several photographs with uniform scale throughout the mosaic. Features near land are generally georeferenced with greater accuracy while the accuracy of features away from land is generally not as good. Where no land is in the original photographic frame only kinematic GPS locations and image tie points were used to georeference the images. After the orthorectified mosaics were created, photointerpreters were able to accurately and reliably delineate boundaries of features in the imagery as they appear on the computer monitor.

  18. g

    Map Viewing Service (WMS) of the dataset: Areas of the POS (doc. of...

    • gimi9.com
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    Map Viewing Service (WMS) of the dataset: Areas of the POS (doc. of 07.06.1990) of the municipality of Vignoux-sous-les-Aix | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-srv-01e35147-7037-44ed-ace0-8bfb9165322e
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    License

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

    Area covered
    Vignoux-sous-les-Aix
    Description

    The Urban Planning Code defines four types of areas regulated in the local planning plan (R.123-5 to 8): urban areas (U), areas to be urbanised (AU), agricultural areas (A) and natural and forest areas (N). These areas shall be demarcated on one or more graphic documents. A regulation is attached to each area. The by-law may lay down different rules, depending on whether the purpose of the construction relates to housing, hotel accommodation, offices, commerce, crafts, industry, agricultural or forestry operations or warehouse functions. These categories are limited (Art. R.123-9).The areas already urbanised where existing or under construction public facilities have sufficient capacity to serve the buildings to be installed are classified as U-areas.The natural areas of the municipality may be classified as AU zones, which are intended to be opened for urbanisation depending on whether or not the existing equipment on the periphery is sufficient to serve the buildings to be installed. There are two types of AU zone: “constructible” and “inconstructible” areas.Can be classified as zones A, the areas of the municipality, whether or not equipped, to be protected due to the agronomic, biological or economic potential of agricultural land.Can be classified as N zones, the areas of the municipality equipped or not, to be protected either by reason of the quality of the sites, natural habitats, landscapes and their interest, in particular from the aesthetic, historical or ecological point of view, either the existence of a forestry operation or their nature as natural areas.- Within the N zones, can be: perimeters in which possibilities for the transfer of the right to build can be carried out (transfer of COS),- areas of limited size and capacity where construction is possible under the condition of implantation and density.

  19. d

    Seafloor character--Offshore of Tomales Point, California.

    • datadiscoverystudio.org
    • dataone.org
    • +1more
    Updated May 21, 2018
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    (2018). Seafloor character--Offshore of Tomales Point, California. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/5ce22959440747de857ff26eda411de3/html
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    Dataset updated
    May 21, 2018
    Area covered
    California
    Description

    description: This part of DS 781 presents the seafloor-character map of the Offshore of Tomales Point map area, California. The raster data file is included in "SeafloorCharacter_OffshoreTomalesPoint.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreTomalesPoint/data_catalog_OffshoreTomalesPoint.html). This raster-format seafloor-character map shows four substrate classes offshore of Tomales Point, California. The substrate classes mapped in this area have been further divided into the following California Marine Life Protection Act depth zones and slope classes: Depth Zone 2 (intertidal to 30 m), Depth Zone 3 (30 to 100 m), Slope Class 1 (0 degrees - 5 degrees), and Slope Class 2 (5 degrees - 30 degrees). Depth Zone 1 (intertidal), Depth Zone 4 (100 to 200 m), Depth Zone 5 (greater than 200 m), and Slopes Classes 3-4 (greater than 30 degrees) are not present in the region covered by this block. The map is created using a supervised classification method described by Cochrane (2008), available at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf. References Cited: California Department of Fish and Game, 2008, California Marine Life Protection Act master plan for marine protected areas; Revised draft: California Department of Fish and Game, accessed April 5 2011, at http://www.dfg.ca.gov/mlpa/masterplan.asp. Cochrane, G.R., 2008, Video-supervised classification of sonar data for mapping seafloor habitat, in Reynolds, J.R., and Greene, H.G., eds., Marine habitat mapping technology for Alaska: Fairbanks, University of Alaska, Alaska Sea Grant College Program, p. 185-194, accessed April 5, 2011, at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf. Sappington, J.M., Longshore, K.M., and Thompson, D.B., 2007, Quantifying landscape ruggedness for animal habitat analysis--A case study using bighorn sheep in the Mojave Desert: Journal of Wildlife Management, v. 71, p. 1419-1426.; abstract: This part of DS 781 presents the seafloor-character map of the Offshore of Tomales Point map area, California. The raster data file is included in "SeafloorCharacter_OffshoreTomalesPoint.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreTomalesPoint/data_catalog_OffshoreTomalesPoint.html). This raster-format seafloor-character map shows four substrate classes offshore of Tomales Point, California. The substrate classes mapped in this area have been further divided into the following California Marine Life Protection Act depth zones and slope classes: Depth Zone 2 (intertidal to 30 m), Depth Zone 3 (30 to 100 m), Slope Class 1 (0 degrees - 5 degrees), and Slope Class 2 (5 degrees - 30 degrees). Depth Zone 1 (intertidal), Depth Zone 4 (100 to 200 m), Depth Zone 5 (greater than 200 m), and Slopes Classes 3-4 (greater than 30 degrees) are not present in the region covered by this block. The map is created using a supervised classification method described by Cochrane (2008), available at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf. References Cited: California Department of Fish and Game, 2008, California Marine Life Protection Act master plan for marine protected areas; Revised draft: California Department of Fish and Game, accessed April 5 2011, at http://www.dfg.ca.gov/mlpa/masterplan.asp. Cochrane, G.R., 2008, Video-supervised classification of sonar data for mapping seafloor habitat, in Reynolds, J.R., and Greene, H.G., eds., Marine habitat mapping technology for Alaska: Fairbanks, University of Alaska, Alaska Sea Grant College Program, p. 185-194, accessed April 5, 2011, at http://doc.nprb.org/web/research/research%20pubs/615_habitat_mapping_workshop/Individual%20Chapters%20High-Res/Ch13%20Cochrane.pdf. Sappington, J.M., Longshore, K.M., and Thompson, D.B., 2007, Quantifying landscape ruggedness for animal habitat analysis--A case study using bighorn sheep in the Mojave Desert: Journal of Wildlife Management, v. 71, p. 1419-1426.

  20. g

    Dataset Direct Download Service (WFS): Areas of the municipal map (doc. of...

    • gimi9.com
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    Dataset Direct Download Service (WFS): Areas of the municipal map (doc. of 05.07.2013) of the city of Ainay-le-Vieil [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-srv-74d6e643-5bc7-4774-b147-276d4a370746/
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    License

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

    Area covered
    Ainay-le-Vieil
    Description

    The Urban Planning Code defines four types of areas regulated in the local planning plan (R.123-5 to 8): urban areas (U), areas to be urbanised (AU), agricultural areas (A) and natural and forest areas (N). These areas shall be demarcated on one or more graphic documents. A regulation is attached to each area. The by-law may lay down different rules, depending on whether the purpose of the construction relates to housing, hotel accommodation, offices, commerce, crafts, industry, agricultural or forestry operations or warehouse functions. These categories are limited (Art. R.123-9).The areas already urbanised where existing or under construction public facilities have sufficient capacity to serve the buildings to be installed are classified as U-areas.The natural areas of the municipality may be classified as AU zones, which are intended to be opened for urbanisation depending on whether or not the existing equipment on the periphery is sufficient to serve the buildings to be installed. There are two types of AU zone: “constructible” and “inconstructible” areas.Can be classified as zones A, the areas of the municipality, whether or not equipped, to be protected due to the agronomic, biological or economic potential of agricultural land.Can be classified as N zones, the areas of the municipality equipped or not, to be protected either by reason of the quality of the sites, natural habitats, landscapes and their interest, in particular from the aesthetic, historical or ecological point of view, either the existence of a forestry operation or their nature as natural areas.- Within the N zones, can be: perimeters in which possibilities for the transfer of the right to build can be carried out (transfer of COS),- areas of limited size and capacity where construction is possible under the condition of implantation and density.

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DOC_admin (2018). DOC Public Conservation Land [Dataset]. https://doc-deptconservation.opendata.arcgis.com/datasets/72354ba9bf7a4706af3fdfe60f86eea1

DOC Public Conservation Land

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5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 7, 2018
Dataset authored and provided by
DOC_admin
License

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

Area covered
Description

Spatial representation of DOC's land management units defined by various acts of parliament and legislation. The attributes in this dataset are derived from the National Property and Land Information System (NaPALIS), which is a centralised database for all Land Information New Zealand (LINZ) and Department of Conservation (DOC) administered land. Public Conservation Land (abbreviated to PCL) parcels are defined geographically, recognised, dedicated and managed, through legal or other effective means, to achieve the long term conservation of nature with associated ecosystem services and cultural values.New Zealand's Public Conservation Land is managed under four main laws.Conservation Act 1987National Parks Act 1980Reserves Act 1977Wildlife Act 1953These manifest in numerous different types of protected area, the most important of which are:National ParksConservation ParksNature ReservesScientific ReservesScenic ReservesRecreation (and other) ReservesN.B. Combining Public Conservation Land, with Marine Reserves and Sanctuaries to Protect Marine Mammals is collectively known as Public Conservation Areas (PCA).*****LICENCE*****This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.*****DISCLAIMER***** 1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied.*****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date.*****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource.

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