100+ datasets found
  1. European Space Agency Climate Change Initiative - Land Cover 2018

    • gmesgeoportal.rcmrd.org
    • rcmrd.africageoportal.com
    • +5more
    Updated Jul 9, 2021
    + more versions
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    Esri (2021). European Space Agency Climate Change Initiative - Land Cover 2018 [Dataset]. https://gmesgeoportal.rcmrd.org/datasets/fe200cff94624a938b042d68beeaa13a
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    Dataset updated
    Jul 9, 2021
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

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

    Area covered
    Description

    Beta Notice: This item is currently in beta and is intended for early access, testing, and feedback. It is not recommended for production use, as functionality and content are subject to change without notice.This layer displays global land cover in 10 classes for the year 2018 produced by the European Space Agency Climate Change Initiative (ESA CCI). The 36 classes of the traditional ESA CCI land cover has been simplified to match the Esri 2050 land cover prediction layers. Phenomenon mapped: Land CoverData Projection: Cylindrical Equal AreaMosaic Projection: Cylindrical Equal AreaExtent: GlobalCell Size: 300mSource Type: ThematicVisible Scale: All scalesSource: ESA Climate Change InitiativePublication date: 2018 ESA CCI land cover data for the years 1992-2019 are available here. What can you do with this layer? This layer may be displayed in a map to show generalized land cover classes for the world in the year 2018.This layer can be used in analysis. For example, the layer may be added to ArcGIS Pro. 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. More technical documentation on the source datasets is available here:https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=doc

  2. a

    ESA Habitat

    • cityofdentongishub-dentontxgis.hub.arcgis.com
    • hub.arcgis.com
    Updated Jan 15, 2015
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    CODGISADM (2015). ESA Habitat [Dataset]. https://cityofdentongishub-dentontxgis.hub.arcgis.com/content/4279ad28d4234a558f0aa3137744f216
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    Dataset updated
    Jan 15, 2015
    Dataset authored and provided by
    CODGISADM
    Area covered
    Description

    City Habitat layer maintained daily by Technology Services GIS Division.

  3. ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci):...

    • catalogue.ceda.ac.uk
    Updated Apr 29, 2025
    + more versions
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    Valentina R. Barletta; Louise Sandberg Sørensen; Rene Forsberg (2025). ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data, derived by DTU Space, v2.2 [Dataset]. https://catalogue.ceda.ac.uk/uuid/48cd535e93574c8da8e80b91e06c7d51
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    Dataset updated
    Apr 29, 2025
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Valentina R. Barletta; Louise Sandberg Sørensen; Rene Forsberg
    License

    https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdfhttps://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf

    Time period covered
    Apr 1, 2002 - Aug 31, 2021
    Area covered
    Variables measured
    latitude, longitude
    Description

    This dataset provides a Gravimetric Mass Balance (GMB) product for the Greenland Ice Sheet (GIS), generated by DTU Space, based on monthly snapshots of the Earth’s gravity field provided by the Gravity Recovery and Climate Experiment (GRACE) and its follow-on satellite mission (GRACE-FO). The product relies on monthly gravity field solutions (L2) of release 06 generated at the Center for Space Research (University of Texas at Austin) and spans the period from April 2002 through August 2021.

    The GMB product covers the full GRACE mission period (April 2002 - June 2017) and is extended by means of GRACE-FO data starting from June 2018, thus including 200 monthly solutions. The mass change estimation is based on inversion method developed at DTU Space.

    Two different types of products are available. First, the gridded mass trends product is comprised of ice mass change trends for cells of equal area with 50 km resolution covering the whole GIS. Second, the mass change time series product provides time series of integrated mass changes for 8 drainage basins and the entire GIS.

    Reference: Barletta, V. R., Sørensen, L. S., and Forsberg, R. (2013) 'Scatter of mass changes estimates at basin scale for Greenland and Antarctica', The Cryosphere, 7, 1411-1432, doi:10.5194/tc-7-1411-2013.",

  4. Current Range Data for Federally ESA Listed Plants in Washington WFL1

    • gis-fws.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Mar 25, 2021
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    U.S. Fish & Wildlife Service (2021). Current Range Data for Federally ESA Listed Plants in Washington WFL1 [Dataset]. https://gis-fws.opendata.arcgis.com/maps/a6033bcfaed046c8962cc34f834d7cf3
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    Dataset updated
    Mar 25, 2021
    Dataset provided by
    U.S. Fish and Wildlife Servicehttp://www.fws.gov/
    Authors
    U.S. Fish & Wildlife Service
    Area covered
    Description

    This is a dataset representing the polygonal boundaries for ESA listed plants as understood by the United States Fish and Wildlife Service.Current_Range_Data_for_Federally_ESA_Listed_Plants_in_Washington

  5. r

    India: Land Cover

    • opendata.rcmrd.org
    • goa-state-gis-esriindia1.hub.arcgis.com
    • +1more
    Updated Mar 21, 2022
    + more versions
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    GIS Online (2022). India: Land Cover [Dataset]. https://opendata.rcmrd.org/maps/9aeb44fb438645e8ae8387231f5c2815
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    Dataset updated
    Mar 21, 2022
    Dataset authored and provided by
    GIS Online
    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 since 1992. These are available at the European Space Agency Climate Change Initiative website.Time Extent: 1992-2019Cell Size: 300 meterSource Type: ThematicPixel Type: 8 Bit UnsignedData Projection: GCS WGS84Mosaic Projection: Web Mercator Auxiliary SphereExtent: GlobalSource: ESA Climate Change InitiativeUpdate Cycle: AnnualWhat 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

  6. r

    El Salvador - ESA CCI Land Cover with Vegetation and Soil Imagery

    • opendata.rcmrd.org
    Updated Jul 10, 2024
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    hawl0050_2325 (2024). El Salvador - ESA CCI Land Cover with Vegetation and Soil Imagery [Dataset]. https://opendata.rcmrd.org/maps/0071536de47e461a979d6315daa2f244
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    Dataset updated
    Jul 10, 2024
    Dataset authored and provided by
    hawl0050_2325
    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

  7. Global Land Cover 1992-2020

    • climate.esri.ca
    • cacgeoportal.com
    • +4more
    Updated Apr 2, 2020
    + more versions
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    Esri (2020). Global Land Cover 1992-2020 [Dataset]. https://climate.esri.ca/datasets/1453082255024699af55c960bc3dc1fe
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    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

  8. p

    European Space Agency WorldCover 2020 Land Cover for Pacific Region

    • pacificgeoportal.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +2more
    Updated Sep 20, 2023
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    Pacific GeoPortal - Core Organization (2023). European Space Agency WorldCover 2020 Land Cover for Pacific Region [Dataset]. https://www.pacificgeoportal.com/maps/4c40959e70fd42aa93e0317c6cf14b76
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    Dataset updated
    Sep 20, 2023
    Dataset authored and provided by
    Pacific GeoPortal - Core Organization
    Area covered
    Description

    This layer is a subset of European Space Agency World Cover 2020 Landcover Global Coverage for the Pacific Region. WorldCover provides a new baseline global land cover product at 10 m resolution for 2020 based on Sentinel-1 and 2 data. It was developed and validated in almost near-real time and at the same time maximizes the impact and uptake for the end users.Variable mapped: 11 land cover classesData Projection: WGS84 (WKID 4326)Mosaic Projection: Web Mercator (WKID3857)Extent: WorldCell Size: 8.33333333333333E-05 degrees (10m)Source Type: 8 bit unsignedVisible Scale: All scales are visibleSource: ESA (European Space Agency)Publication Date: October 20, 2021More Details from the WorldCover consortium: https://esa-worldcover.org/enClasses10. Tree CoverThis class includes any geographic area dominated by trees with a cover of 10% or more. Other land cover classes (shrubs and/or herbs in the understorey, built-up, permanent water bodies, …) can be present below the canopy, even with a density higher than trees. Areas planted with trees for afforestation purposes and plantations (e.g. oil palm, olive trees) are included in this class. This class also includes tree covered areas seasonally or permanently flooded with fresh water except for mangroves.20. ShrublandThis class includes any geographic area dominated by natural shrubs having a cover of 10% or more. Shrubs are defined as woody perennial plants with persistent and woody stems and without any defined main stem being less than 5 m tall. Trees can be present in scattered form if their cover is less than 10%. Herbaceous plants can also be present at any density. The shrub foliage can be either evergreen or deciduous.30. GrasslandThis class includes any geographic area dominated by natural herbaceous plants (Plants without persistent stem or shoots above ground and lacking definite firm structure): (grasslands, prairies, steppes, savannahs, pastures) with a cover of 10% or more, irrespective of different human and/or animal activities, such as: grazing, selective fire management etc. Woody plants (trees and/or shrubs) can be present assuming their cover is less than 10%. It may also contain uncultivated cropland areas (without harvest/ bare soil period) in the reference year.40. CroplandLand covered with annual cropland that is sowed/planted and harvestable at least once within the 12 months after thesowing/planting date. The annual cropland produces an herbaceous cover and is sometimes combined with some tree or woodyvegetation. Note that perennial woody crops will be classified as the appropriate tree cover or shrub land cover type. Greenhouses are considered as built-up.50. Built-upLand covered by buildings, roads and other man-made structures such as railroads. Buildings include both residential and industrial building. Urban green (parks, sport facilities) is not included in this class. Waste dump deposits and extraction sites are considered as bare.60. Bare or sparse vegetationLands with exposed soil, sand, or rocks and never has more than 10 % vegetated cover during any time of the year.70. Snow and IceThis class includes any geographic area covered by snow or glaciers persistently.80. Permanent water bodiesThis class includes any geographic area covered for most of the year (more than 9 months) by water bodies: lakes, reservoirs, and rivers. Can be either fresh or salt-water bodies. In some cases the water can be frozen for part of the year (less than 9 months).90. Herbaceous wetlandLand dominated by natural herbaceous vegetation (cover of 10% or more) that is permanently or regularly flooded by fresh, brackish or salt water. It excludes unvegetated sediment (see 60), swamp forests (classified as tree cover) and mangroves see 95).95. MangrovesTaxonomically diverse, salt-tolerant tree and other plant species which thrive in intertidal zones of sheltered tropical shores,"overwash" islands, and estuaries.100. Moss and lichenLand covered with lichens and/or mosses. Lichens are composite organisms formed from the symbiotic association of fungi and algae. Mosses contain photo-autotrophic land plants without true leaves, stems, roots but with leaf-and stemlike organs.

  9. p

    ESA Water Features

    • data.portmoody.ca
    • data-portmoody.opendata.arcgis.com
    Updated Jun 5, 2019
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    CityofPortMoodyGIS (2019). ESA Water Features [Dataset]. https://data.portmoody.ca/datasets/e39b8b423a294bcf8566c4ed580f5e4d
    Explore at:
    Dataset updated
    Jun 5, 2019
    Dataset authored and provided by
    CityofPortMoodyGIS
    License

    https://www.portmoody.ca/opendatatouhttps://www.portmoody.ca/opendatatou

    Area covered
    Description

    Summary: Environmentally Sensitive Area (ESA) - approximate location of other water features as seen on Official Community Plan (OCP) Map 13.

    Disclaimer: The User acknowledges and agrees that the Data is provided by the City to the User for the User's convenience and reference, and that the City makes no guarantees, representations or warranties, whether express or implied, as to the Data or as to any results to be or intended to be achieved from use of the Data, including without limitation guarantees, representations or warranties as to the accuracy, quality or completeness of the Data, merchantability or fitness for use for any particular purpose, and the User hereby waives all guarantees, representations and warranties in respect of the Data, whether express, implied by statute or otherwise. The User hereby releases The City from, and hereby indemnifies and holds harmless The City from and against, any liability, obligation, costs (including without limitation legal costs), expenses, claims, actions, proceedings, damages and penalties to the User or any other person or legal entity resulting from or related to the use, disclosure or reproduction of or reliance on the Data.

    The stream/creek, culverts, ditches, and other water features in this data set shall be used only as a guideline. Further environmental assessment and survey information may be required to verify the accuracy of the location. Caution should be used in interpreting stream location and fish habitat value on this map as the watercourse classification was based on a review of existing data sources rather than a comprehensive stream inventory

    Specific information regarding land, including lot sizes, legal descriptions, and charges must be confirmed at the Land Title Office and the User must not rely on the City of Port Moody for this information.

  10. a

    ESA CCI-LC Land Cover (2015)

    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Oct 4, 2018
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    ArcGIS StoryMaps (2018). ESA CCI-LC Land Cover (2015) [Dataset]. https://gis-for-secondary-schools-schools-be.hub.arcgis.com/datasets/Story::esa-cci-lc-land-cover-2015
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    Dataset updated
    Oct 4, 2018
    Dataset authored and provided by
    ArcGIS StoryMaps
    Area covered
    Description

    Land cover maps break down the different types of material on Earth’s surface, such as bodies of water, ice cover, crops, forests, grasslands and artificial surfaces. This information is important for monitoring changes in land use, conserving biodiversity, managing natural resources and understanding climate change.The European Space Agency Climate Change Initiative-Land Cover (ESA CCI-LC) project delivers consistent global land cover maps at 300 m spatial resolution on an annual basis from 1992 to 2015. These data are also available to be viewed and downloaded using the ESA viewer: http://maps.elie.ucl.ac.be/CCI/viewer/This layer was developed for chapter two, "The Living Land", of an ongoing series of Story Maps on the Anthropocene. It was designed to be used with any dark themed basemap.

  11. European Space Agency WorldCover 2020 Land Cover

    • cacgeoportal.com
    • africageoportal.com
    • +5more
    Updated Feb 23, 2022
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    Esri (2022). European Space Agency WorldCover 2020 Land Cover [Dataset]. https://www.cacgeoportal.com/maps/e28b7e1da5414010ba4f47dd5a3c3ebb
    Explore at:
    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Retirement Notice: This item is in mature support as of June 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.WorldCover provides a new baseline global land cover product at 10 m resolution for 2020 based on Sentinel-1 and 2 data. It was developed and validated in almost near-real time and at the same time maximizes the impact and uptake for the end users.Variable mapped: 11 land cover classesData Projection: WGS84 (WKID 4326)Mosaic Projection: Web Mercator (WKID3857)Extent: WorldCell Size: 8.33333333333333E-05 degrees (10m)Source Type: 8 bit unsignedVisible Scale: All scales are visibleSource: ESA (European Space Agency)Publication Date: October 20, 2021More Details from the WorldCover consortium: https://esa-worldcover.org/en Classes 10. Tree CoverThis class includes any geographic area dominated by trees with a cover of 10% or more. Other land cover classes (shrubs and/or herbs in the understorey, built-up, permanent water bodies, …) can be present below the canopy, even with a density higher than trees. Areas planted with trees for afforestation purposes and plantations (e.g. oil palm, olive trees) are included in this class. This class also includes tree covered areas seasonally or permanently flooded with fresh water except for mangroves.20. ShrublandThis class includes any geographic area dominated by natural shrubs having a cover of 10% or more. Shrubs are defined as woody perennial plants with persistent and woody stems and without any defined main stem being less than 5 m tall. Trees can be present in scattered form if their cover is less than 10%. Herbaceous plants can also be present at any density. The shrub foliage can be either evergreen or deciduous.30. GrasslandThis class includes any geographic area dominated by natural herbaceous plants (Plants without persistent stem or shoots above ground and lacking definite firm structure): (grasslands, prairies, steppes, savannahs, pastures) with a cover of 10% or more, irrespective of different human and/or animal activities, such as: grazing, selective fire management etc. Woody plants (trees and/or shrubs) can be present assuming their cover is less than 10%. It may also contain uncultivated cropland areas (without harvest/ bare soil period) in the reference year.40. CroplandLand covered with annual cropland that is sowed/planted and harvestable at least once within the 12 months after thesowing/planting date. The annual cropland produces an herbaceous cover and is sometimes combined with some tree or woody vegetation. Note that perennial woody crops will be classified as the appropriate tree cover or shrub land cover type. Greenhouses are considered as built-up.50. Built-upLand covered by buildings, roads and other man-made structures such as railroads. Buildings include both residential and industrial building. Urban green (parks, sport facilities) is not included in this class. Waste dump deposits and extraction sites are considered as bare.60. Bare or sparse vegetationLands with exposed soil, sand, or rocks and never has more than 10 % vegetated cover during any time of the year.70. Snow and IceThis class includes any geographic area covered by snow or glaciers persistently.80. Permanent water bodiesThis class includes any geographic area covered for most of the year (more than 9 months) by water bodies: lakes, reservoirs, and rivers. Can be either fresh or salt-water bodies. In some cases the water can be frozen for part of the year (less than 9 months).90. Herbaceous wetlandLand dominated by natural herbaceous vegetation (cover of 10% or more) that is permanently or regularly flooded by fresh, brackish or salt water. It excludes unvegetated sediment (see 60), swamp forests (classified as tree cover) and mangroves see 95).95. MangrovesTaxonomically diverse, salt-tolerant tree and other plant species which thrive in intertidal zones of sheltered tropical shores, "overwash" islands, and estuaries.100. Moss and lichenLand covered with lichens and/or mosses. Lichens are composite organisms formed from the symbiotic association of fungi and algae. Mosses contain photo-autotrophic land plants without true leaves, stems, roots but with leaf-and stemlike organs.

  12. n

    ESA - Pinnipeds

    • opdgig.dos.ny.gov
    • new-york-opd-geographic-information-gateway-nysdos.hub.arcgis.com
    Updated Apr 18, 2023
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    New York State Department of State (2023). ESA - Pinnipeds [Dataset]. https://opdgig.dos.ny.gov/items/bdffd67ee05b4d2b81f90aed3b3feef0
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    Dataset updated
    Apr 18, 2023
    Dataset authored and provided by
    New York State Department of State
    Description

    Areas where pinnipeds occur in higher concentrations and/or significant areas that support pinnipeds (e.g. particular haul-out locations, feeding areas). Pinniped species found on Long Island include Harbor, Grey, Harp, Hooded, and Ringed seals. Additional Source Info: https://cteco.uconn.edu/projects/blueplan/layersESA.htm#sealsView Dataset on the Gateway

  13. Atlantic sturgeon South Atlantic DPS critical habitat for use in ESA/FIFRA...

    • fisheries.noaa.gov
    Updated Jul 1, 2024
    + more versions
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    NMFS Office Of Protected Resources (2024). Atlantic sturgeon South Atlantic DPS critical habitat for use in ESA/FIFRA consultations [Dataset]. https://www.fisheries.noaa.gov/inport/item/72866
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    Dataset updated
    Jul 1, 2024
    Dataset provided by
    National Marine Fisheries Servicehttps://www.fisheries.noaa.gov/
    Area covered
    Description

    Beginning in 2010 and in response to mounting requests for digital depictions of NMFS Regulated Areas in Northeast, Mid-Atlantic and South Atlantic Waters, the NMFS Greater Atlantic Regional Fisheries Office (GARFO) and Southeast Regional Office Geographic Information Systems (GIS) Committee launched a project to standardize the development, publication and regular updating of GIS files depicti...

  14. a

    ESA Stream Buffer

    • communautaire-esrica-apps.hub.arcgis.com
    • data.portmoody.ca
    Updated Jun 5, 2019
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    CityofPortMoodyGIS (2019). ESA Stream Buffer [Dataset]. https://communautaire-esrica-apps.hub.arcgis.com/datasets/f95a6831ec6643938a5203d1bfe63073
    Explore at:
    Dataset updated
    Jun 5, 2019
    Dataset authored and provided by
    CityofPortMoodyGIS
    License

    https://www.portmoody.ca/opendatatouhttps://www.portmoody.ca/opendatatou

    Area covered
    Description

    Summary: Environmentally Sensitive Area (ESA) 30m buffer area around the approximate stream locations in Port Moody, as seen on Official Community Plan (OCP) Map 13.

    Disclaimer: The User acknowledges and agrees that the Data is provided by the City to the User for the User's convenience and reference, and that the City makes no guarantees, representations or warranties, whether express or implied, as to the Data or as to any results to be or intended to be achieved from use of the Data, including without limitation guarantees, representations or warranties as to the accuracy, quality or completeness of the Data, merchantability or fitness for use for any particular purpose, and the User hereby waives all guarantees, representations and warranties in respect of the Data, whether express, implied by statute or otherwise. The User hereby releases The City from, and hereby indemnifies and holds harmless The City from and against, any liability, obligation, costs (including without limitation legal costs), expenses, claims, actions, proceedings, damages and penalties to the User or any other person or legal entity resulting from or related to the use, disclosure or reproduction of or reliance on the Data.

    The stream/creek, culverts, ditches, and other water features in this data set shall be used only as a guideline. Further environmental assessment and survey information may be required to verify the accuracy of the location. Caution should be used in interpreting stream location and fish habitat value on this map as the watercourse classification was based on a review of existing data sources rather than a comprehensive stream inventory

    Specific information regarding land, including lot sizes, legal descriptions, and charges must be confirmed at the Land Title Office and the User must not rely on the City of Port Moody for this information.

  15. ESA High Resolution Land Cover Climate Change Initiative...

    • catalogue.ceda.ac.uk
    Updated Feb 13, 2024
    + more versions
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    Lorenzo Bruzzone; F. Bovolo; A. Amodio; M. A. Brovelli; M. Corsi; Pierre Defourny; C. Domingo; P. Gamba; D. Kolitzus; Céline Lamarche; G. Moser; Catherine Ottlé; G. Perantoni; L. Pesquer; M. Zanetti (2024). ESA High Resolution Land Cover Climate Change Initiative (High_Resolution_Land_Cover_cci): High Resolution Land Cover Maps in Africa (Eastern Sahel region) at 10m spatial resolution for 2019 in Geotiff format, v1.2 [Dataset]. https://catalogue.ceda.ac.uk/uuid/f107a4ce186844bb8adf8cd1f2f6d552
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    Dataset updated
    Feb 13, 2024
    Dataset provided by
    Centre for Environmental Data Analysishttp://www.ceda.ac.uk/
    Authors
    Lorenzo Bruzzone; F. Bovolo; A. Amodio; M. A. Brovelli; M. Corsi; Pierre Defourny; C. Domingo; P. Gamba; D. Kolitzus; Céline Lamarche; G. Moser; Catherine Ottlé; G. Perantoni; L. Pesquer; M. Zanetti
    License

    https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_high_resolution_land_cover_terms_and_conditions.pdfhttps://artefacts.ceda.ac.uk/licences/specific_licences/esacci_high_resolution_land_cover_terms_and_conditions.pdf

    Time period covered
    Jan 1, 2019 - Dec 31, 2019
    Area covered
    Description

    This dataset contains high resolution (HR) land cover (LC) maps of a subregion of Africa, produced by the ESA High Resolution Land Cover (HRLC) Climate Change Initiative (CCI) project. This consists of the following products:

    1) HRLC10: High Resolution Land Cover Maps at 10m spatial resolution for year 2019 (also referred to as static maps). 2) Associated uncertainty products.

    They cover the geographic range (0.1°S – 18.1°N; 9.9°E – 43.3°E).

    The data are provided as both GeoTIFF tiles following the Sentinel-2 MGRS tiling scheme and as a GeoTiff format mosaic. These maps are also referred to as static maps.

  16. r

    Global Land Cover 1992-2019

    • opendata.rcmrd.org
    • uidaho.hub.arcgis.com
    • +3more
    Updated Aug 17, 2021
    + more versions
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    jgrayson (2021). Global Land Cover 1992-2019 [Dataset]. https://opendata.rcmrd.org/datasets/bb126150e2284945827d295824eb3d8d
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    Dataset updated
    Aug 17, 2021
    Dataset authored and provided by
    jgrayson
    Area covered
    Earth
    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 since 1992. These are available at the European Space Agency Climate Change Initiative website.Time Extent: 1992-2019Cell Size: 300 meterSource Type: ThematicPixel Type: 8 Bit UnsignedData Projection: GCS WGS84Mosaic Projection: Web Mercator Auxiliary SphereExtent: GlobalSource: ESA Climate Change InitiativeUpdate Cycle: AnnualWhat 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

  17. Boulder star coral critical habitat for use in ESA/FIFRA consultations

    • fisheries.noaa.gov
    Updated Jul 1, 2024
    + more versions
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    NMFS Office Of Protected Resources (2024). Boulder star coral critical habitat for use in ESA/FIFRA consultations [Dataset]. https://www.fisheries.noaa.gov/inport/item/72741
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    Dataset updated
    Jul 1, 2024
    Dataset provided by
    National Marine Fisheries Servicehttps://www.fisheries.noaa.gov/
    Area covered
    Caribbean Sea, Caribbean, Martin County, Atlantic Ocean, U. S. Virgin Islands, East Flower Garden Bank and West Flower Garden Bank, St. Thomas, St. Lucie Inlet, Palm Beach County, Broward County
    Description

    These data represent the designated critical habitat for boulder star coral (Orbicella franksi) as designated by 88 FR 54026, published on August 09, 2023. This rule became effective on September 08, 2023. The purpose of these data is to visually represent the designated critical habitat areas for GIS analysis and display.OFRA‐1: All waters 6.5 ft (2 m) to 131 ft (40 m) deep in Florida from the...

  18. p

    Pacific Region Land Cover 1992-2020

    • pacificgeoportal.com
    • opendata.rcmrd.org
    • +3more
    Updated Sep 20, 2023
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    Pacific GeoPortal - Core Organization (2023). Pacific Region Land Cover 1992-2020 [Dataset]. https://www.pacificgeoportal.com/maps/e47019138ce648aab65d425af876dc55
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    Dataset updated
    Sep 20, 2023
    Dataset authored and provided by
    Pacific GeoPortal - Core Organization
    Area covered
    Description

    This layer is a subset of Global Landcover 1992- 2020 Layer. 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

  19. Lobed star coral critical habitat for use in ESA/FIFRA consultations

    • fisheries.noaa.gov
    Updated Jul 1, 2024
    + more versions
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    NMFS Office Of Protected Resources (2024). Lobed star coral critical habitat for use in ESA/FIFRA consultations [Dataset]. https://www.fisheries.noaa.gov/inport/item/72745
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    Dataset updated
    Jul 1, 2024
    Dataset provided by
    National Marine Fisheries Servicehttps://www.fisheries.noaa.gov/
    Area covered
    Navassa Island, Dry Tortugas, Gulf of Mexico, Caribbean, St. Croix, St. Thomas, St. John, Palm Beach County, Puerto Rico, Miami-Dade County
    Description

    These data represent the designated critical habitat for lobed star coral (Orbicella annularis) as designated by 88 FR 54026, published on August 09, 2023. This rule became effective on September 08, 2023. The purpose of these data is to visually represent the designated critical habitat areas for GIS analysis and display.OANN‐1: All waters 6.5 ft (2 m) to 65.6 ft (20 m) deep in Florida from th...

  20. Above and below ground biomass carbon and soil organic carbon to 1m depth...

    • morocco.africageoportal.com
    • africageoportal.com
    • +10more
    Updated May 4, 2021
    + more versions
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    UN Environment World Conservation Monitoring Centre (2021). Above and below ground biomass carbon and soil organic carbon to 1m depth (tonnes/ha) [Dataset]. https://morocco.africageoportal.com/datasets/e04ea4f7ecbb4e7fb0325dfa24af6969
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    Dataset updated
    May 4, 2021
    Dataset provided by
    World Conservation Monitoring Centrehttp://www.unep-wcmc.org/
    Authors
    UN Environment World Conservation Monitoring Centre
    License

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

    Area covered
    Description

    This dataset represents above- and below-ground terrestrial carbon storage (tonnes (t) of C per hectare (ha)) for circa 2010. This layer supports analysis but, if needed, a direct download of the data can be accessed here.

    The dataset was constructed by combining the most reliable publicly available datasets and overlying them with the ESA CCI landcover map for the year 2010 [ESA, 2017], assigning to each grid cell the corresponding above-ground biomass value from the biomass map that was most appropriate for the grid cell’s landcover type.

    Input carbon datasets were identified through a literature review of existing datasets on biomass carbon in terrestrial ecosystems published in peer-reviewed literature. To determine which datasets to combine to produce the global carbon density map, identified datasets were evaluated based on resolution, accuracy, biomass definition and reference date (see table 1 for further information on datasets selected).

    Dataset

    Scope

    Year

    Resolution

    Definition

    Santoro et al. 2018

    Global

    2010

    100 m

    Above-ground woody biomass for trees that are >10 cm diameter-at-breast-height, masked to Landsat-derived canopy cover for 2010; biomass is expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots.

    Xia et al. 2014

    Global

    1982-2006

    8 km

    Above-ground grassland biomass.

    Bouvet et al. 2018

    Africa

    2010

    25 m

    Above-ground woodland and savannah biomass; low woody biomass areas, which therefore exclude dense forests and deserts.

    Spawn et al. 2017

    Global

    2010

    300 m

    Synthetic, global above- and below-ground biomass maps that combine recently released satellite-based data of standing forest biomass with novel estimates for non-forest biomass stocks.

    After aggregating each selected dataset to a nominal scale of 300 m resolution, forest categories in the CCI ESA 2010 landcover dataset were used to extract above-ground biomass from Santoro et al. 2018 for forest areas. Woodland and savanna biomass were then incorporated for Africa from Bouvet et al. 2018., and from Santoro et al. 2018 for areas outside of Africa and outside of forest. Biomass from croplands, sparse vegetation and grassland landcover classes from CCI ESA, in addition to shrubland areas outside Africa missing from Santoro et al. 2018, were extracted from were extracted from Xia et al. 2014. and Spawn et al. 2017 averaged by ecological zone for each landcover type.

    Below-ground biomass were added using root-to-shoot ratios from the 2006 IPCC guidelines for National Greenhouse Gas Inventories (IPCC, 2006). No below-ground values were assigned to croplands as ratios were unavailable. Above- and below-ground biomass were then summed together and multiplied by 0.5 to convert to carbon, generating a single above-and-below-ground biomass carbon layer.

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Esri (2021). European Space Agency Climate Change Initiative - Land Cover 2018 [Dataset]. https://gmesgeoportal.rcmrd.org/datasets/fe200cff94624a938b042d68beeaa13a
Organization logo

European Space Agency Climate Change Initiative - Land Cover 2018

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Dataset updated
Jul 9, 2021
Dataset authored and provided by
Esrihttp://esri.com/
License

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

Area covered
Description

Beta Notice: This item is currently in beta and is intended for early access, testing, and feedback. It is not recommended for production use, as functionality and content are subject to change without notice.This layer displays global land cover in 10 classes for the year 2018 produced by the European Space Agency Climate Change Initiative (ESA CCI). The 36 classes of the traditional ESA CCI land cover has been simplified to match the Esri 2050 land cover prediction layers. Phenomenon mapped: Land CoverData Projection: Cylindrical Equal AreaMosaic Projection: Cylindrical Equal AreaExtent: GlobalCell Size: 300mSource Type: ThematicVisible Scale: All scalesSource: ESA Climate Change InitiativePublication date: 2018 ESA CCI land cover data for the years 1992-2019 are available here. What can you do with this layer? This layer may be displayed in a map to show generalized land cover classes for the world in the year 2018.This layer can be used in analysis. For example, the layer may be added to ArcGIS Pro. 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. More technical documentation on the source datasets is available here:https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=doc

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