For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.

Geospatial data about Otaki Soil Map Legend - ArcGIS Layer file. Export to CAD, GIS, PDF, CSV and access via API.

Interactive Legend allows for filtering layers in your map by toggling the visibility of features based categories and ranges in the legend. Choose from a pre-configured set of visualization modes to apply layer effects in your app based on features or groups of features that are selected in the legend. Include the export tool to allow viewers to capture images of the map.Examples:Form a better understanding of the spatial relationship between map features by toggling the visibility of the content.Support presentations of economic data relevant to the numerical range values of interest during a seminar or presentation.Analyze crime data to facilitate decision-making of law enforcement distribution pertaining to specific crime categories. Data RequirementsThis application requires a feature layer to take full advantage of its capabilities. For more information, see the Layers help topic for more details.Supported Drawing StylesLocation (Single Symbol)Types (Unique symbols)Counts and amounts (Size) - Classify Data CheckedCounts and Amounts (Color) - Classify Data CheckedRelationshipRelationship and Size (Partially Interactive)Predominant CategoryPredominant Category and Size (Partially interactive)Types and Size (Partially interactive)For instructions on how to modify the legend drawing style, see this topic: change styleKey App CapabilitiesChoose from predefined visualization modes to apply layer effects to highlight selected featuresZoom to - Allow app viewers to zoom to the extent of the features selected in the legendFeature count - Include a feature count for items that are selected in the legendChoose between two layout options for the legend, the default floating style or placed in a side panel of the appExport - Capture an image of the map to exportTime filter - Filter features in the map using time enabled layersLanguage switcher - Publish a multilingual app that combines your translated custom text and the UI translations for supported languagesHome, Zoom Controls, Legend, Layer List, SearchSupportabilityThis web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results:Hierarchical geomorphological mapping in mountainous areas Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021.This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.

Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.

Legends is a Point FeatureClass representing road legends in Cupertino. Legends are markings on the road like crosswalks or sharrows. This layer contains asset IDs that can be used to look up work orders It is primarily used within Cityworks to maintain an inventory of legends throughout the City of Cupertino. The layer is updated as needed by the GIS division and City of Cupertino field staff. Legends has the following fields:
OBJECTID: Unique identifier automatically generated by Esri type: OID, length: 4, domain: none

AssetID: Cupertino maintained GIS primary key type: String, length: 20, domain: noneGlobalID:Unique identifier automatically generated for features in enterprise databasetype: GlobalID, length: 38, domain: none

Location: Further description of the location type: String, length: 50, domain: none

Status: The active or construction status of the asset in the field type: String, length: 20, domain: pwStatus domain values:['Abandoned', 'Proposed', 'Auction', 'Denied', 'Active', 'Removed', 'Not Connected']

OwnedBy: Organization which owns the asset type: String, length: 50, domain: shdOwnedBy domain values:['Cupertino', 'San Jose Water', 'CalTrans', 'PGE', 'Los Altos', 'Santa Clara', 'Private HOA', 'Saratoga', 'Other Public', 'Santa Clara County', 'San Jose', 'Santa Clara Valley Water District', 'Private', 'California Water Service', 'State Parks', 'Sunnyvale', 'Cupertino Sanitary District', 'CWA']

MaintainedBy: Organization who is responsible for maintenance of asset type: String, length: 50, domain: shdOwnedBy domain values:['Cupertino', 'San Jose Water', 'CalTrans', 'PGE', 'Los Altos', 'Santa Clara', 'Private HOA', 'Saratoga', 'Other Public', 'Santa Clara County', 'San Jose', 'Santa Clara Valley Water District', 'Private', 'California Water Service', 'State Parks', 'Sunnyvale', 'Cupertino Sanitary District', 'CWA']

AsbuiltDate: The install date listed on the construction plans type: Date, length: 8, domain: none

InstallDate: The date of the last maintenance work done on this asset type: Date, length: 8, domain: none DataSourceThe methodology used to digitize the datatype: string, length: 100, domain: DataSourcedomain values:['Approximated Historical Source', 'Cogo from Plans', 'Digitized Landbase as Reference', 'Digitized Ortho as Reference', 'Digitized Plan as Reference', 'GPS SubMeter', 'GPS SubFoot', "iStreetView', 'Need Verification', 'Unknown Source', 'Legacy WO System', 'Field Verified']

Rotation: Field used for assigning rotation degree in Maplex Labeling Engine type: Double, length: 8, domain: none

LegendType: The type of traffic control legend item type: String, length: 30, domain: trafLegendType domain values:['Rail Xing', 'Slow', 'Arrow Right Thru', 'Hump', 'Arrow U Turn', 'Parking T', 'Bike Lane', 'Stop Ahead', 'Only', 'Sharrows with Dashed Lines', 'Arrow Left Right Turn', '24 Inch Piano Key', 'Highway Shield', 'North', 'Buses Only', 'Arrow Straight Left Turn', 'Handicap', 'Parking Angle', 'Crosshatching', 'Stop', 'No Left Turn', '40', 'Bike Box', 'Shark Tooth', 'Arrow All Way', 'Arrow Thru', 'Curb', 'U Turn Only', 'Arrow Right', 'Arrow Straight Right Turn', 'School', 'Limit Line', 'Wait Here', '25', 'Arrow Lane Reduction', 'Van Accessible', 'Signal Ahead', 'Bike Loop', 'Ped Xing', 'Yield', '12 Inch Bar', 'Island Tips', 'Arrow Left', 'South', '24 Inch Limit Line', 'Arrow Left Thru', 'Sharrows', 'OK', 'Walking Man', 'Bump', '30', '35', 'Slow School Xing', 'Bike Lane Factory Assembled', '12 Inch Piano Key', 'Keep Clear', 'Chevron', 'Loading Zone']

LegendFunction: The function of the traffic control legend item type: String, length: 50, domain: trafLegendFunction domain values:['Crosswalk']

Material: Material of the legend item type: String, length: 30, domain: trafMarkingMaterial domain values:['Extruded ThermalPlastic', 'Surface Coating', 'Paint', 'Preform ThermalPlastic', 'Tape', 'RPM']

Color: Color associated with the legend item type: String, length: 10, domain: shdColor domain values:['Blue', 'White', 'Green', 'Yellow', 'Red']

LegendSize: The size of the traffic control legend item type: String, length: 10, domain: trafLegendSize domain values:['Metric', 'Thermo', 'Standard']

CalTransDetail: Field containing the Caltrans code for the legend type: String, length: 10, domain: none

NumberParkingSpaces: Number of parking spaces associated with the legend type: SmallInteger, length: 2, domain: none

CurbFootage: The amount of curb covered by the legend - in feet type: Double, length: 8, domain: none

ParkingFootage: The amount of parking covered by the legend - in feet type: Double, length: 8, domain: none

IsSchoolRelated: Field indicating whether or not the legend is school related type: String, length: 4, domain: shdBooleanYesNo domain values:['Yes', 'No']

Shape: Field that stores geographic coordinates associated with feature type: Geometry, length: 4, domain: none

RefreshDate: The date the data was refreshed type: Date, length: 8, domain: none

View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.Refresh Cycle: None, Dynamic via AutoCAD updatesChannelization data consists of the following layers:Vertical ElementsLane WidthsPanel MarkingsLongitudinal MarkingsTransverse MarkingsLegend and SymbolsGeneral Background

In order to use the standard color legend for Romanian soil type maps in the ESRI ArcMap-10 electronic format, a dataset consisting a shapefile set (.dbf, .shp, .shx, .sbn, and .sbx files), four different .lyr files, and three different .style files have been prepared (ESRI, 2016). The shapefile set is not a “real” georeferenced layer/coverage; it is designed only to handle all the instants of soil types from the standard legend. This legend contains 67 standard items: 63 proper colors (different color hues, each of them having, generally, 2 - 4 degrees of lightness and/or chroma, four shades of grey, and white color), and four hatching patterns on white background (ESRI, 2016). The “color difference DE*ab” between any two legend colors, calculated with the color perceptually-uniform model CIELAB , is greater than 10 units, thus ensuring acceptably-distinguishable colors in the legend. The 67 standard items are assigned to 60 main soils existing in Romania, four main nonsoils, and three special cases of unsurveyed land. The soils are specified in terms of the current Romanian system of soil taxonomy, SRTS-2012+, and of the international soil classification system WRB-2014. The four different .lyr files presented here are: legend_soilcode_srts_wrb.lyr, legend_soilcode_wrb.lyr, legend_colourcode_srts_wrb.lyr, and legend_colourcode_wrb.lyr. The first two of them are built using as value field the ‘Soil_codes’ field, and as labels (explanation texts) the ‘Soil_name’ field (storing the soil types according to SRTS/WRB classification), respectively, the ‘WRB’ field (the soil type according to WRB classification), while the last two .lyr files are built using as value field the ‘colour_code’ field (storing the color codes) and as labels the soil name in SRTS and WRB, respectively, in WRB classification. In order to exemplify how the legend is displayed, two .jpg files are also presented: legend_soil_srts_wrb.jpg and legend_colour_wrb.jpg. The first displays the legend (symbols and labels) according to the SRTS classification order, the second according to the WRB classification. The three different .style files presented here are: soil_symbols.style, wrb_codes.style, and colour_codes.style. They use as name the soil acronym in SRTS classification, soil acronym in WRB classification, and, respectively, the color code.

Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes. Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. We also created an online storymap (https://arcg.is/Xjvy4) of all three tiers for both areas, which scales automatically as the user zooms in and out between scales to show how the data are dynamically visualized in a GIS.

For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Map package for use in ArcGIS Pro containing three-tiered geomorphological data and geographical datasets such as rivers, roads and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.

WQI Map Legend for the Water Quality Index Dashboard. This legend was created in an ArcGIS Pro layout, then captured as a JPG screenshot.

ArcGIS layer file of recommended symbology for LCDB v3.0 land cover classes (use with class_2008 field).

ArcGIS layer file for Basic Ecosystems - this may be used most reliably if you load the downloaded data into ArcGIS, right click and select properties, make sure symbology is set to categorical and then click on the folder to import the symbology from this file.

Use the Media Map template to maximize the potential of a map with map navigation tools, time animation, and swipe. Display and animate time-enabled data to highlight changes over time. Set the option to disable scroll and configure pop-ups to optimize the app for embedding, even in a small web page space. Enable the export tool to allow users to save the map to a file for export. Examples: Support a map with descriptive text by including an information panel with a title and description, or a splash screen to help orient your audience and communicate your message. Provide an app with common map tools, including a legend, layer list, basemap toggle, overview map, swipe, and time slider. Allow app users to choose between two basemaps to explore different perspectives. Data requirements The Media Map template has no data requirements. Key app capabilities Time - Provide a configurable time slider that animates changes in data over time. The map must be time enabled. Swipe tool - Compares two layers in the map by viewing them simultaneously. Hover pop-ups - Provide users quick access to attribute information that appears when hovering over a feature in the map. Locator map - Display an inset map with the app's map area in the context of a broader area. Layer list - Display a list of layers with options to turn visibility off and on in the map or scene. This setting also allows opening a layer's attribute table, which includes an option for users to export their records as a .csv file. Bookmarks - Allow users to zoom and pan to a collection of preset extents that are saved in the map. Export - Capture an image (PDF, JPG, or PNG) from the app that a user can save. Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

In order to use the Romanian color standard for soil type map legends, a dataset of ESRI ArcMap-10 files, consisting of a shapefile set (.dbf, .shp, .shx, .sbn, and .sbx files), four different .lyr files, and three different .style files (https://desktop.arcgis.com/en/arcmap/10.3/map/ : saving-layers-and-layer-packages, about-creating-new-symbols, what-are-symbols-and-styles-), have been prepared. The shapefile set is not a “real” georeferenced layer/coverage; it is designed only to handle all the instants of soil types from the standard legend.

This legend contains 67 standard items: 63 proper colors (different color hues, each of them having, generally, 2 - 4 degrees of lightness and/or chroma, four shades of grey, and white color), and four hatching patterns on white background. The “color difference DE*ab” between any two legend colors, calculated with the color perceptually-uniform model CIELAB, is greater than 10 units, thus ensuring acceptably-distinguishable colors in the legend. The 67 standard items are assigned to 60 main soils existing in Romania, four main nonsoils, and three special cases of unsurveyed land. The soils are specified in terms of the current Romanian system of soil taxonomy, SRTS-2012+, and of the international system WRB-2014.

The four different .lyr files presented here are: legend_soilcode_srts_wrb.lyr, legend_soilcode_wrb.lyr, legend_colorcode_srts_wrb.lyr, and legend_colorcode_wrb.lyr. The first two of them are built using as value field the “Soil_codes” field, and as labels (explanation texts) the “Soil_name” field (storing the soil types according to SRTS/WRB classification), respectively, the “WRB” field (the soil type according to WRB classification), while the last two .lyr files are built using as value field the “color_code” field (storing the color codes) and as labels the soil name in SRTS and WRB, respectively, in WRB classification.

In order to exemplify how the legend is displayed, two .jpg files are also presented: legend_soil_srts_wrb.jpg and legend_color_wrb.jpg. The first displays the legend (symbols and labels) according to the SRTS classification order, the second according to the WRB classification.

The three different .style files presented here are: soil_symbols.style, wrb_codes.style, and color_codes.style. They use as name the soil acronym in SRTS classification, soil acronym in WRB classification, and, respectively, the color code.

The presented file set may be used to directly implement the Romanian color standard in digital soil type map legends, or may be adjusted/modified to other specific requirements.

This land cover data set is derived from the original raster based Globcover regional (Africa) archive. It has been post-processed to generate a vector version at national extent with the LCCS regional legend (46 classes). This database can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis.

The data set is intended for free public access.

The shape file's attributes contain the following fields: -Area (sqm) -ID -Gridcode (Globcover cell value) -LCCCode (unique LCCS code)

You can download a zip archive containing: -the shape file (.shp) -the ArcGis layer file with global legend (.lyr) -the ArcView 3 legend file (.avl) -the LCCS legend tables (.xls)

Supplemental Information:

This land cover product is a vector version (ESRI shape) of the Globcover archive that was published in 2008 as result of an initiative launched in 2004 by the European Space Agency (ESA). Globcover is currently the most recent (2005) and resoluted (300 m) datasets on land cover globally. Given the need of this valuable information for environmental studies, natural resources management and policy formulation, through activities of the Global Land Cover Network (GLCN) programme, the Globcover has been reprocessed to generate databases at national extent that can be analyzed through the Advanced Database Gateway software (ADG) by GLCN. ADG is a cross-cutting interrogation software that allows the easy and fast recombination of land cover polygons according to the individual end-user requirements. Aggregated land cover classes can be generated not only by name, but also using the set of existing classifiers. ADG uses land cover data with a Land Cover Classification System (LCCS) legend. The ADG software is available for download on the GLCN web site at http://www.glcn.org/sof_7_en.jsp

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Antonio Martucci

Data lineage:

This land cover database is provided as ESRI shape file (vector format) and derives from reprocessing the raster based Globcover database (regional version). Globcover has undergone the following process: a) vectoralization at the national extent using ESRI ArcGis (arcinfo) 9.3; b) topological reconstruction (custom AML scripts launched inside ArcGis-arcinfo 9.3); c) simplification of areas according to a minimum mapping unit of 0.1 skim (10 ha) (custom AML scripts launched inside ArcGis-arcinfo 9.3); application of the FAO/UNEP Land Cover Classification System (LCCS) legend (46 classes); final processing to assure full compatibility with the GLCN software Advanced Database Gateway (ADG).

Online resources:

Download - Land cover of Seychelles - Shape file format

GLOBCOVER on the ESA Web site

Global Land Cover Network - GLCN

Street Overlay Map for the City of Liberty. This map shows streets that were overlaid the past 10 years as well as the current proposed overlay.This map is set up is set up with an interactive legend for each overlay year. You can filter by year by selecting the year in the legend and you can zoom to each year. You can show the past 10 years of overlay by selecting Show All. Street segments can be selected on the map to find out more information for said street overlay.

This land cover data set is derived from the original raster based Globcover regional (Africa) archive. It has been post-processed to generate a vector version at national extent with the LCCS regional legend (46 classes). This database can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis.

The data set is intended for free public access.

The shape file's attributes contain the following fields: -Area (sqm) -ID -Gridcode (Globcover cell value) -LCCCode (unique LCCS code)

You can download a zip archive containing: -the shape file (.shp) -the ArcGis layer file with global legend (.lyr) -the ArcView 3 legend file (.avl) -the LCCS legend tables (.xls)

Supplemental Information:

This land cover product is a vector version (ESRI shape) of the Globcover archive that was published in 2008 as result of an initiative launched in 2004 by the European Space Agency (ESA). Globcover is currently the most recent (2005) and resoluted (300 m) datasets on land cover globally. Given the need of this valuable information for environmental studies, natural resources management and policy formulation, through activities of the Global Land Cover Network (GLCN) programme, the Globcover has been reprocessed to generate databases at national extent that can be analyzed through the Advanced Database Gateway software (ADG) by GLCN. ADG is a cross-cutting interrogation software that allows the easy and fast recombination of land cover polygons according to the individual end-user requirements. Aggregated land cover classes can be generated not only by name, but also using the set of existing classifiers. ADG uses land cover data with a Land Cover Classification System (LCCS) legend. The ADG software is available for download on the GLCN web site at http://www.glcn.org/sof_7_en.jsp

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Antonio Martucci

Data lineage:

This land cover database is provided as ESRI shape file (vector format) and derives from reprocessing the raster based Globcover database (regional version). Globcover has undergone the following process: a) vectoralization at the national extent using ESRI ArcGis (arcinfo) 9.3; b) topological reconstruction (custom AML scripts launched inside ArcGis-arcinfo 9.3); c) simplification of areas according to a minimum mapping unit of 0.1 skim (10 ha) (custom AML scripts launched inside ArcGis-arcinfo 9.3); application of the FAO/UNEP Land Cover Classification System (LCCS) legend (46 classes); final processing to assure full compatibility with the GLCN software Advanced Database Gateway (ADG).

Online resources:

Download - Land cover of Cameroon - Shape file format

GLOBCOVER on the ESA Web site

Global Land Cover Network - GLCN

This land cover data set is derived from the original raster based Globcover regional (Africa) archive. It has been post-processed to generate a vector version at national extent with the LCCS regional legend (46 classes). This database can be analyzed in the GLCN software Advanced Database Gateway (ADG), which provides a user-friendly interface and advanced functionalities to breakdown the LCCS classes in their classifiers for further aggregations and analysis.

The data set is intended for free public access.

The shape file's attributes contain the following fields: -Area (sqm) -ID -Gridcode (Globcover cell value) -LCCCode (unique LCCS code)

You can download a zip archive containing: -the shape file (.shp) -the ArcGis layer file with global legend (.lyr) -the ArcView 3 legend file (.avl) -the LCCS legend tables (.xls)

Supplemental Information:

This land cover product is a vector version (ESRI shape) of the Globcover archive that was published in 2008 as result of an initiative launched in 2004 by the European Space Agency (ESA). Globcover is currently the most recent (2005) and resoluted (300 m) datasets on land cover globally. Given the need of this valuable information for environmental studies, natural resources management and policy formulation, through activities of the Global Land Cover Network (GLCN) programme, the Globcover has been reprocessed to generate databases at national extent that can be analyzed through the Advanced Database Gateway software (ADG) by GLCN. ADG is a cross-cutting interrogation software that allows the easy and fast recombination of land cover polygons according to the individual end-user requirements. Aggregated land cover classes can be generated not only by name, but also using the set of existing classifiers. ADG uses land cover data with a Land Cover Classification System (LCCS) legend. The ADG software is available for download on the GLCN web site at http://www.glcn.org/sof_7_en.jsp

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Antonio Martucci

Data lineage:

This land cover database is provided as ESRI shape file (vector format) and derives from reprocessing the raster based Globcover database (regional version). Globcover has undergone the following process: a) vectoralization at the national extent using ESRI ArcGis (arcinfo) 9.3; b) topological reconstruction (custom AML scripts launched inside ArcGis-arcinfo 9.3); c) simplification of areas according to a minimum mapping unit of 0.1 skim (10 ha) (custom AML scripts launched inside ArcGis-arcinfo 9.3); application of the FAO/UNEP Land Cover Classification System (LCCS) legend (46 classes); final processing to assure full compatibility with the GLCN software Advanced Database Gateway (ADG).

Online resources:

Download - Land cover of United Republic of Tanzania - Shape file format

GLOBCOVER on the ESA Web site

Global Land Cover Network - GLCN

Map service that provides a legend for the FEMA National Flood Hazard Layer. Display this along with the FEMA NFHL tiled map service at https://tiles.arcgis.com/tiles/hGdibHYSPO59RG1h/arcgis/rest/services/FEMA_National_Flood_Hazard_Layer/MapServer (metadata at https://massgis.maps.arcgis.com/home/item.html?id=630c74171705455592a8fa947c3f849f), which, being a tiled service hosted at ArcGIS Online, does not have a legend associated with it when displayed in ArcGIS Online or ArcGIS for Desktop.