This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries. Please reference the metadata for contact information.
Indiana Wetlands from the USFWS NWI as of October 6, 2022 at https://www.fws.gov/node/264847
September 2025
The National Wetlands Inventory, found in the A-16 National Geospatial Data Asset Portfolio, contains approximate location and type of wetlands and deep water habitats in the United States and its Territories. The U.S. Fish and Wildlife Service is the principal federal agency that provides information to the public on the extent and status of the nation's wetlands. Wetlands provide a multitude of ecological, economic and social benefits. They provide habitat for fish, wildlife and a variety of plants. Wetlands are nurseries for many saltwater and freshwater fishes and shellfish of commercial and recreational importance. Wetlands are also important landscape features because they hold and slowly release flood water and snow melt, recharge groundwater, act as filters to cleanse water of impurities, recycle nutrients, and provide recreation and wildlife viewing opportunities for millions of people.Digital wetlands data are intended for use with base maps and digital aerial photography at a street level scale (1:12,000) or smaller. Due to the scale, the primary intended use is for regional and watershed data display and analysis, rather than specific project data analysis. The map products were neither designed nor intended to represent legal or regulatory products.Questions or comments regarding the interpretation or classification of wetlands or deep water habitats can be addressed by visiting National Wetlands Inventory - Frequently Asked Questions (FAQs). Due to the quantity and complexity of the wetlands data the wetlands only display at a city scale (1:250,000) and greater. Thumbnail source image courtesy of: LivingLandscapeArchitecture
This web mapping service is intended to provide information on Iowa's wetlands. In particular, data recorded in the National Wetland Inventory.
Wetlands are areas where water is present at or near the surface of the soil during at least part of the year. Wetlands provide habitat for many species of plants and animals that are adapted to living in wet habitats. Wetlands form characteristic soils, absorb pollutants and excess nutrients from aquatic systems, help buffer the effects of high flows, and recharge groundwater. Data on the distribution and type of wetland play an important role in land use planning and several federal and state laws require that wetlands be considered during the planning process.The National Wetlands Inventory (NWI) was designed to assist land managers in wetland conservation efforts. The NWI is managed by the US Fish and Wildlife Service.Dataset SummaryPhenomenon Mapped: WetlandsCoordinate System: Web Mercator Auxiliary SphereExtent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, American Samoa, and the Northern Mariana IslandsVisible Scale: This layer preforms well between scales of 1:1,000,000 to 1:1,000. An imagery layer created from this dataset is also available which you can also use to quickly draw wetlands at smaller scales.Number of Features: 35,475,987Source: U.S. Fish and Wildlife ServicePublication Date: October 7, 2022This layer was created from the October 7, 2022 version of the NWI. The features were converted from multi-part to a single part using the Multipart To Singlepart tool. Features with more than 50,000 vertices were split with the Dice tool. The Repair Geometry tool was run on the features, using tool defaults.The layer is published with a related table that contains text fields created by Esri for use in the layer's pop-up. Fields in the table are:Popup Header - this field contains a text string that is used to create the header in the default pop-up System Text - this field contains a text string that is used to create the system description text in the default pop-upClass Text - this field contains a text string that is used to create the class description text in the default pop-upModifier Text - this field contains a text string that is used to create the modifier description text in the default pop-upSpecies Text - this field contains a text string that is used to create the species description text in the default pop-upCodes, names, and text fields were derived from the publication Classification of Wetlands and Deepwater Habitats of the United States.What can you do with this Feature Layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full scale range. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for System Name = 'Palustrine' to create a map of palustrine wetlands only.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d mapUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.
The National Hydrography Dataset Plus High Resolution (NHDplus High Resolution) maps the lakes, ponds, streams, rivers and other surface waters of the United States. Created by the US Geological Survey, NHDPlus High Resolution provides mean annual flow and velocity estimates for rivers and streams. Additional attributes provide connections between features facilitating complicated analyses.For more information on the NHDPlus High Resolution dataset see the User’s Guide for the National Hydrography Dataset Plus (NHDPlus) High Resolution.Dataset SummaryPhenomenon Mapped: Surface waters and related features of the United States and associated territoriesGeographic Extent: The Contiguous United States, Hawaii, portions of Alaska, Puerto Rico, Guam, US Virgin Islands, Northern Marianas Islands, and American SamoaProjection: Web Mercator Auxiliary Sphere Visible Scale: Visible at all scales but layer draws best at scales larger than 1:1,000,000Source: USGSUpdate Frequency: AnnualPublication Date: July 2022This layer was symbolized in the ArcGIS Map Viewer and while the features will draw in the Classic Map Viewer the advanced symbology will not. Prior to publication, the network and non-network flowline feature classes were combined into a single flowline layer. Similarly, the Area and Waterbody feature classes were merged under a single schema.Attribute fields were added to the flowline and waterbody layers to simplify symbology and enhance the layer's pop-ups. Fields added include Pop-up Title, Pop-up Subtitle, Esri Symbology (waterbodies only), and Feature Code Description. All other attributes are from the original dataset. No data values -9999 and -9998 were converted to Null values.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer or a map containing it can be used in an application. Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Apply filters. For example you can set a filter to show larger streams and rivers using the mean annual flow attribute or the stream order attribute.Change the layer’s style and symbologyAdd labels and set their propertiesCustomize the pop-upUse as an input to the ArcGIS Online analysis tools. This layer works well as a reference layer with the trace downstream and watershed tools. The buffer tool can be used to draw protective boundaries around streams and the extract data tool can be used to create copies of portions of the data.ArcGIS ProAdd this layer to a 2d or 3d map.Use as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class.Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the ArcGIS Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.
A Wetland of International Importance under the Ramsar Convention (RAMSAR) is part of the Protected Natural Areas (ENP) that are designated or managed within an international, Community, national or local framework to achieve specific objectives for the conservation of the natural heritage.A Wetland of International Importance of the Ramsar Convention is a designated area under the Convention on Wetlands of International Importance, particularly as Waterbird Habitats, whose treaty was signed in 1971 on the Caspian Sea (Iran). Its entry into force dates from 1975, the ratification by France of 1986.The inclusion on the World List of Ramsar Areas presupposes that the area meets one or more criteria demonstrating its international importance.Reference Texts: Ramsar Convention (Iran) of 2 February 1971 and Act of Ratification of the Convention. The objectives are to halt the trend of wetlands becoming extirpated, to promote the conservation of wetlands, their flora and fauna, and to promote and promote the wise use of wetlands. The addition of sites to the list is done by the State which submits duly substantiated proposals to the Ramsar Convention Bureau. In practice, the DREALs carry out the technical files under the authority of the prefects. They are then validated by the National Ramsar Committee set up by the Minister for the Environment. (definition from: Aten, legal sheets 2005) GIS layer: N_ENP_RAMSAR_S_R44.shp
This map serves as the baseline for the green infrastructure apps that visualize areas that are relatively undisturbed by development or agriculture.The habitat cores shown were derived using a model built by the Green Infrastructure Center Inc. and adapted by Esri.The Intact Habitat Near Me app uses this web map as its basis.This web map provides an easily accessible data base of intact core habitat areas across the continental United States, appropriate in scale to support Green Infrastructure Planning at local, regional and national scales, using the best available national data. The results are intended to be supplemented or replaced with more current or higher resolution data when available, while still supporting Green Infrastructure planning initiatives at the regional level.Using a methodology outlined by the Green Infrastructure Center, Inc. Esri staff created a national intact habitat cores database for the lower 48 United States.The methodology identified, using nationally available datasets, intact or minimally disturbed areas at least 100 acres in size and with a minimum width of 200 meters.The identification of intact areas relied upon the 2011 National Land Cover Database. Potential cores areas were selected from land cover categories not containing the word “developed” or those categories associated with agriculture uses (crop, hay and pasture lands). The resulting areas were tested for size and width requirements, and then converted into unique polygons.These polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to use in computing a “core quality index”.These layers included:Number of endemic species (Mammals, Fish, Reptiles, Amphibians, Trees) (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Priority Index areas: Endemic species, small home range size and low protection status. (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Unique ecological systems (based upon work by Aycrig, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.Ecologically relevant landforms (Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning. PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619 ,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619Local Landforms (produced 3/2016) by Deniz Basaran and Charlie Frye, Esri, 30 m* resolution."Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, has been successfully submitted online and is presently being given consideration for publication in Transactions in GIS.*we scaled the neighborhood windows from the 250-meter method described in the paper, and then applied that to 30-meter data in the U.S.National Elevation Dataset, USGS, 30 m resolution, http://viewer.nationalmap.gov/launch/NWI – National Wetlands Inventory “ Classification of Wetlands and Deepwater Habitats of the United States”. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31 , U.S. Fish and Wildlife Service, Division of Habitat and Resouce Conservation (prepared 10/2015)NLCD 2011 – National LandCover Database 2011http://www.mrlc.gov/nlcd2011.php (downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354 NHDPlusV2 –https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plusReceived from Charlie Frye, ESRI 3/2016. Produced by the EPA with support from the USGS.gSSURGO –Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/. Accessed 3/2016, 30 m resolutionGAP Level 3 Ecological System Boundaries (downloaded 4/ 2016)http://gapanalysis.usgs.gov/gaplandcover/data/download/NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change–downloaded by state (3/2016) from: https://coast.noaa.gov/ccapftp/#/ Description: https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional30 m resolution, 2010 edition of dataNHD USGS National Hydrography Dataset http://nhd.usgs.gov/data.htmlTNC Terrestrial Ecoregionshttp://maps.tnc.org/gis_data.html#TNClands (downloaded 3/2016)2015 LCC Network Areashttps://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78Evaluation:The creation of a national core quality index is a very ambitious objective, given the extreme variability in ecosystem conditions across the United States. The additional attributes were intended to provide flexibility in accommodating regional or local environmental differences across the U.S.Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on esri.com/greeninfrastructureTwo general approaches were used in the developing core quality index values. The first (default) follows the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US where size of the core is the primary determinant of quality. The second; Bio-Weights puts more emphasis on bio-diversity and uniqueness ecosystem type and de-emphasizes slightly the importance of core size. This is to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.Scoring values:Default Weights0.4, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.1, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.05, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)Bio-Weights0.2, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.25, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.1, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)
Wetlands are areas where water is present at or near the surface of the soil during at least part of the year. Wetlands provide habitat for many species of plants and animals that are adapted to living in wet habitats. Wetlands form characteristic soils, absorb pollutants and excess nutrients from aquatic systems, help buffer the effects of high flows, and recharge groundwater. Data on the distribution and type of wetland play an important role in land use planning and several federal and state laws require that wetlands be considered during the planning process.The National Wetlands Inventory (NWI) was designed to assist land managers in wetland conservation efforts. The NWI is managed by the US Fish and Wildlife Service.Dataset SummaryPhenomenon Mapped: WetlandsGeographic Extent: 50 United States plus Puerto Rico, the US Virgin Islands, Guam, American Samoa, and the Northern Mariana IslandsProjection: Web Mercator Auxiliary SphereVisible Scale: This layer preforms well between scales of 1:1,000,000 to 1:1,000. An imagery layer created from this dataset is also available which you can also use to quickly draw wetlands at smaller scales.Source: U.S. Fish and Wildlife ServiceUpdate Frequency: AnnualPublication Date: October 26, 2024This layer was created from the October 26, 2024 version of the NWI. The features were converted from multi-part to a single part using the Multipart To Singlepart tool. Features with more than 50,000 vertices were split with the Dice tool. The Repair Geometry tool was run on the features, using the OGC option.The layer is published with a related table that contains text fields created by Esri for use in the layer's pop-up. Fields in the table are:Popup Header - this field contains a text string that is used to create the header in the default pop-up System Text - this field contains a text string that is used to create the system description text in the default pop-upClass Text - this field contains a text string that is used to create the class description text in the default pop-upModifier Text - this field contains a text string that is used to create the modifier description text in the default pop-upSpecies Text - this field contains a text string that is used to create the species description text in the default pop-upCodes, names, and text fields were derived from the publication Classification of Wetlands and Deepwater Habitats of the United States.What can you do with this layer?Feature layers work throughout the ArcGIS system. Generally your work flow with feature layers will begin in ArcGIS Online or ArcGIS Pro. Below are just a few of the things you can do with a feature service in Online and Pro.ArcGIS OnlineAdd this layer to a map in the map viewer. The layer is limited to scales of approximately 1:1,000,000 or larger but an imagery layer created from the same data can be used at smaller scales to produce a webmap that displays across the full scale range. The layer or a map containing it can be used in an application.Change the layer’s transparency and set its visibility rangeOpen the layer’s attribute table and make selections and apply filters. Selections made in the map or table are reflected in the other. Center on selection allows you to zoom to features selected in the map or table and show selected records allows you to view the selected records in the table.Change the layer’s style and filter the data. For example, you could set a filter for System Name = 'Palustrine' to create a map of palustrine wetlands only.Add labels and set their propertiesCustomize the pop-upArcGIS ProAdd this layer to a 2d or 3d mapUse as an input to geoprocessing. For example, copy features allows you to select then export portions of the data to a new feature class. Change the symbology and the attribute field used to symbolize the dataOpen table and make interactive selections with the mapModify the pop-upsApply Definition Queries to create sub-sets of the layerThis layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Questions?Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.
The National Map provides core geographic data about the United States and its territories. The National Map supports data download, digital and print versions of topographic maps, geospatial data services, and online viewing. Data include: Elevation, Orthoimagery, Hydrography, Geographic Names, Boundaries, Transportation, Structures, and Land Cover, while products include: US Topo and Historical Topo Maps. The National Map Viewer also allows visualization and identification queries (but not downloads) of Other Featured Data, to include Scanned Topo Maps, Ecosystems, Protected Areas, Gap Analysis Program Land Cover, Wetlands, Public Land Survey System, and National Park Service Boundaries. Also included is a Natural Hazards panel to view hazards-related information, such as for earthquakes, floods, wildfires, and weather, along with the U.S. National Grid for emergency response.
This service is published by UConn CLEAR and is made available on CTECO. The thematic raster has multiple classes that represent different land covers. This dataset is part of the Changing Landscape series which includes 7 dates of land cover spanning 30 years, from 1985 to 2015, including change and statistics.
This map serves as the baseline for the green infrastructure apps that visualize areas that are relatively undisturbed by development or agriculture.The habitat cores shown were derived using a model built by the Green Infrastructure Center Inc. and adapted by Esri.The Asset Finder app uses this web map as its basis.This web map provides an easily accessible data base of intact core habitat areas across the continental United States, appropriate in scale to support Green Infrastructure Planning at local, regional and national scales, using the best available national data. The results are intended to be supplemented or replaced with more current or higher resolution data when available, while still supporting Green Infrastructure planning initiatives at the regional level.Using a methodology outlined by the Green Infrastructure Center, Inc. Esri staff created a national intact habitat cores database for the lower 48 United States.The methodology identified, using nationally available datasets, intact or minimally disturbed areas at least 100 acres in size and with a minimum width of 200 meters.The identification of intact areas relied upon the 2011 National Land Cover Database. Potential cores areas were selected from land cover categories not containing the word “developed” or those categories associated with agriculture uses (crop, hay and pasture lands). The resulting areas were tested for size and width requirements, and then converted into unique polygons.These polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to use in computing a “core quality index”.These layers included:Number of endemic species (Mammals, Fish, Reptiles, Amphibians, Trees) (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Priority Index areas: Endemic species, small home range size and low protection status. (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Unique ecological systems (based upon work by Aycrig, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.Ecologically relevant landforms (Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning. PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619 ,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619Local Landforms (produced 3/2016) by Deniz Basaran and Charlie Frye, Esri, 30 m* resolution."Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, has been successfully submitted online and is presently being given consideration for publication in Transactions in GIS.*we scaled the neighborhood windows from the 250-meter method described in the paper, and then applied that to 30-meter data in the U.S.National Elevation Dataset, USGS, 30 m resolution, http://viewer.nationalmap.gov/launch/NWI – National Wetlands Inventory “ Classification of Wetlands and Deepwater Habitats of the United States”. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31 , U.S. Fish and Wildlife Service, Division of Habitat and Resouce Conservation (prepared 10/2015)NLCD 2011 – National LandCover Database 2011http://www.mrlc.gov/nlcd2011.php (downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354 NHDPlusV2 –https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plusReceived from Charlie Frye, ESRI 3/2016. Produced by the EPA with support from the USGS.gSSURGO –Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/. Accessed 3/2016, 30 m resolutionGAP Level 3 Ecological System Boundaries (downloaded 4/ 2016)http://gapanalysis.usgs.gov/gaplandcover/data/download/NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change–downloaded by state (3/2016) from: https://coast.noaa.gov/ccapftp/#/ Description: https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional30 m resolution, 2010 edition of dataNHD USGS National Hydrography Dataset http://nhd.usgs.gov/data.htmlTNC Terrestrial Ecoregionshttp://maps.tnc.org/gis_data.html#TNClands (downloaded 3/2016)2015 LCC Network Areashttps://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78Evaluation:The creation of a national core quality index is a very ambitious objective, given the extreme variability in ecosystem conditions across the United States. The additional attributes were intended to provide flexibility in accommodating regional or local environmental differences across the U.S.Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on esri.com/greeninfrastructureTwo general approaches were used in the developing core quality index values. The first (default) follows the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US where size of the core is the primary determinant of quality. The second; Bio-Weights puts more emphasis on bio-diversity and uniqueness ecosystem type and de-emphasizes slightly the importance of core size. This is to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.Scoring values:Default Weights0.4, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.1, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.05, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)Bio-Weights0.2, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.25, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.1, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)
Following a methodology outlined by the Green Infrastructure Center Inc., Esri staff created a national intact habitat cores database for the lower 48 United States. These data were generated using 2011 National Land Cover Data. Cores were derived from all “natural” land cover classes and excluded all “developed” and “agricultural” classes including crop, hay and pasture lands. The resulting cores were tested for size and width requirements (at least 100 acres in size and greater than 200 meters) and then converted into unique polygons. This process resulted in the generation of over 550,000 intact habitat cores. These polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to populate each core with attributes (53 in total) related to the landscape characteristics found within. These data were also compiled to compute a “core quality index”, or score related to the perceived ecological value of each core, to provide users with additional insight related to the importance of each core when compared to all others. The source data used to derive this attribution is as follows:Source data:Number of endemic species:(Mammals, Fish, Reptiles, Amphibians, Trees) Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Priority Index areas: Endemic species, small home range size and low protection status. Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Unique ecological systems:Based upon work by Aycrigg, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.Ecologically relevant landforms:Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning.PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619Local Landforms:Produced 3/2016 by Deniz Karagulle and Charlie Frye, Esri, 30 m* resolution. "Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, In Review, Transactions in GIS.*The neighborhood window was scaled from the 250-meter method described in the paper to 30-meter data in the U.S.Ecological Land Units: Sayre, R., J. Dangermond, C. Frye, R. Vaughan, P. Aniello, S. Breyer, D. Cribbs, D. Hopkins, R. Nauman, W. Derrenbacher, D. Wright, C. Brown, C. Convis, J. Smith, L. Benson, D. Paco VanSistine, H. Warner, J. Cress, J. Danielson, S. Hamann, T. Cecere, A. Reddy, D. Burton, A. Grosse, D. True, M. Metzger, J. Hartmann, N. Moosdorf, H. Dürr, M. Paganini, P. DeFourny, O. Arino, S. Maynard, M. Anderson, and P. Comer. 2014. A New Map of Global Ecological Land Units — An Ecophysiographic Stratification Approach. Washington, DC: Association of American Geographers. 46 pages http://www.aag.org/cs/global_ecosystems. 2015 updated data accessed 3/2016, 250 m resolution.National Elevation Dataset:USGS, 30 m resolution, http://viewer.nationalmap.gov/launch/NWI – National Wetlands Inventory:Classification of Wetlands and Deepwater Habitats of the United States. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31, U.S. Fish and Wildlife Service, Division of Habitat and Resource Conservation (prepared 10/2015)NLCD 2011 – National LandCover Database 2011:http://www.mrlc.gov/nlcd2011.php(downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354 NHDPlusV2:https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plusReceived from Charlie Frye, Esri 3/2016. Produced by the EPA with support from the USGS.gSSURGO:Soil Survey Staff. Gridded Soil Survey Geographic Database for the Conterminous United States. Natural Resources Conservation Service, United States Department of Agriculture. Available online at http://gdg.sc.egov.usda.gov/. Accessed 3/2016, 30 m resolutionSSurgo:Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/. Accessed 3/2016GAP Level 3 Ecological System Boundaries:http://gapanalysis.usgs.gov/gaplandcover/data/download/(downloaded 4/ 2016) NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change:https://coast.noaa.gov/ccapftp/#/Description: https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional30 m resolution, 2010 edition of data (downloaded by state 3/2016)NHD USGS National Hydrography Dataset:http://nhd.usgs.gov/data.htmlTNC Terrestrial Ecoregions:http://maps.tnc.org/gis_data.html#TNClands(downloaded 3/2016)2015 LCC Network Areas:https://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78Detailed Description of the Core Quality Index Methodology:The creation of a national core quality index was a challenging undertaking given the extreme heterogeneity of ecosystem conditions across the United States. As a result, 9 separate index scores were generated for each core, each placing varying weights on landscape characteristics of regional or local significance. This was done to account for variation across the U.S. and to provide users with additional flexibility in accommodating regional or local environmental priorities.Two general approaches were used in developing the core quality index values. The first, Default Weights, uses core size as the primary determinant of quality, following the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US. The second, Bio-Weights, puts more emphasis on characteristics associated with bio-diversity and uniqueness of ecosystem types and de-emphasizes slightly the importance of core size. This alternative was developed to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.Scoring values:Default Weights0.4, # Acres0.1, # Thickness0.05, # Topographic Diversity (Standard Deviation)0.1, # Biodiversity Priority Index (Species Richness in GIC original version)0.05, # Percentage Wetland Cover0.03, # Ecological Land Unit – Shannon-Weaver Index (Soil Variety in GIC original version)0.02, # Compactness Ratio (Area relative to the area of a circle with the same perimeter length)0.1, # Stream Density (Linear Feet/Acre)0.05, # Ecological System Redundancy (Rare/Threatened/Endangered Species Abundance (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (Rare/Threatened/Endangered Species Abundance (Number of unique species in a core) in GIC original version) Bio-Weights0.2, # Acres0.1, # Thickness0.05, # Topographic Diversity (Standard Deviation)0.25, # Biodiversity Priority Index (Species Richness in GIC original version)0.05, # Percentage Wetland Cover0.03, # Ecological Land Unit – Shannon-Weaver Index (Soil Variety in GIC original version)0.02, # Compactness Ratio (Area Relative To The Area Of A Circle With The Same Perimeter Length)0.1, # Stream Density (Linear Feet/Acre)0.1, # Ecological System Redundancy (Rare/Threatened/Endangered Species Abundance (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (Rare/Threatened/Endangered Species Diversity (Number of unique species in a core) in GIC original version) Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on http://www.esri.com/about-esri/greeninfrastructure
Open the Data Resource: https://experience.arcgis.com/experience/e492db86d9b348399f4bd20330b4b274 This viewer shares a variety of flood hazard and risk data produced by the Federal Emergency Management Agency (FEMA). Some flood hazard and flood risk data produced by FEMA define minimum requirements for the National Flood Insurance Program (NFIP). This viewer includes these required NFIP data and includes other data showing current and potential future flood hazard and risk.
McIntosh County Tax Assessors public viewer. View parcels, soil productivity, FEMA flood zones, national wetland inventory, cell towers, roads, and addresses.Uses the McIntosh County Tax Assessors Web Map.
Explore your Community’s Potential for Green Infrastructure. View the remaining intact habitat near you, and other measures of natural and man-made assets that connect us.The habitat cores shown were derived using a model built by the Green Infrastructure Center Inc. and adapted by Esri.This app includes an easily accessible layer of intact core habitat areas across the continental United States, appropriate in scale to support Green Infrastructure Planning at local, regional and national scales, using the best available national data. The results are intended to be supplemented or replaced with more current or higher resolution data when available, while still supporting Green Infrastructure planning initiatives at the regional level.Using a methodology outlined by the Green Infrastructure Center, Inc. Esri staff created a national intact habitat cores database for the lower 48 United States.The methodology identified, using nationally available datasets, intact or minimally disturbed areas at least 100 acres in size and with a minimum width of 200 meters.The identification of intact areas relied upon the 2011 National Land Cover Database. Potential cores areas were selected from land cover categories not containing the word “developed” or those categories associated with agriculture uses (crop, hay and pasture lands). The resulting areas were tested for size and width requirements, and then converted into unique polygons.These polygons were then overlaid with a diverse assortment of physiographic, biologic and hydrographic layers to use in computing a “core quality index”.These layers included:Number of endemic species (Mammals, Fish, Reptiles, Amphibians, Trees) (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Priority Index areas: Endemic species, small home range size and low protection status. (Jenkins, Clinton N., et. al, (April 21, 2015) US protected lands mismatch biodiversity priorities, PNAS vol.112, no. 16, www.pnas.org/cgi/doi/10.1073/pnas.1418034112)Unique ecological systems (based upon work by Aycrig, Jocelyn L, et. al. (2013) Representation of Ecological Systems within the Protected Areas Network of the Continental United States. PLos One 8(1):e54689). New data constructed by Esri staff, using TNC Ecological Regions as summary areas.Ecologically relevant landforms (Theobald DM, Harrison-Atlas D, Monahan WB, Albano CM (2015) Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning. PLoS ONE 10(12): e0143619. doi:10.1371/journal.pone.0143619 ,http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619Local Landforms (produced 3/2016) by Deniz Basaran and Charlie Frye, Esri, 30 m* resolution."Improved Hammond’s Landform Classification and Method for Global 250-m Elevation Data" by Karagulle, Deniz; Frye, Charlie; Sayre, Roger; Breyer, Sean; Aniello, Peter; Vaughan, Randy; Wright, Dawn, has been successfully submitted online and is presently being given consideration for publication in Transactions in GIS.*we scaled the neighborhood windows from the 250-meter method described in the paper, and then applied that to 30-meter data in the U.S.National Elevation Dataset, USGS, 30 m resolution, http://viewer.nationalmap.gov/launch/NWI – National Wetlands Inventory “ Classification of Wetlands and Deepwater Habitats of the United States”. U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC. FWS/OBS-79/31 , U.S. Fish and Wildlife Service, Division of Habitat and Resouce Conservation (prepared 10/2015)NLCD 2011 – National LandCover Database 2011http://www.mrlc.gov/nlcd2011.php (downloaded 1/2016) Homer, C.G., et. al. 2015,Completion of the 2011 National Land Cover Database for the conterminous United States-Representing a decade of land cover change information. Photogrammetric Engineering and Remote Sensing, v. 81, no. 5, p. 345-354 NHDPlusV2 –https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plusReceived from Charlie Frye, ESRI 3/2016. Produced by the EPA with support from the USGS.gSSURGO –Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/. Accessed 3/2016, 30 m resolutionGAP Level 3 Ecological System Boundaries (downloaded 4/ 2016)http://gapanalysis.usgs.gov/gaplandcover/data/download/NOAA CCAP Coastal Change Analysis Program Regional Land Cover and Change–downloaded by state (3/2016) from: https://coast.noaa.gov/ccapftp/#/ Description: https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional30 m resolution, 2010 edition of dataNHD USGS National Hydrography Dataset http://nhd.usgs.gov/data.htmlTNC Terrestrial Ecoregionshttp://maps.tnc.org/gis_data.html#TNClands (downloaded 3/2016)2015 LCC Network Areashttps://www.sciencebase.gov/catalog/item/55b943ade4b09a3b01b65d78Evaluation:The creation of a national core quality index is a very ambitious objective, given the extreme variability in ecosystem conditions across the United States. The additional attributes were intended to provide flexibility in accommodating regional or local environmental differences across the U.S.Scripts for constructing local cores and scoring them using the Green Infrastructure Center’s methodology are available on esri.com/greeninfrastructureTwo general approaches were used in the developing core quality index values. The first (default) follows the guidance of the Green Infrastructure Center’s scoring approach developed for the southeastern US where size of the core is the primary determinant of quality. The second; Bio-Weights puts more emphasis on bio-diversity and uniqueness ecosystem type and de-emphasizes slightly the importance of core size. This is to compensate for the very large intact core habitat areas in the west and southwest which also have comparatively low biodiversity values.Scoring values:Default Weights0.4, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.1, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.05, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)Bio-Weights0.2, # Acres0.1, # THICKNESS0.05, # TOPOGRAPHIC DIVERSITY (Standard Deviation)0.25, # Biodiversity Priority Index (SPECIES RICHNESS in GIC original version)0.05, # PERCENTAGE WETLAND COVER0.03, # Ecological Land Unit – Shannon-Weaver Index (SOIL VARIETY in GIC original version)0.02, # COMPACTNESS RATIO (AREA RELATIVE TO THE AREA OF A CIRCLE WITH THE SAME PERIMETER LENGTH)0.1, # STREAM DENSITY (LINEAR FEET/ACRE)0.1, # Ecological System Redundancy (RARE/THREATENED/ENDANGERED SPECIES ABUNDANCE (Number of occurrences) in GIC original version) 0.1, # Endemic Species Max (RARE/THREATENED/ENDANGERED SPECIES DIVERSITY (Number of unique species in a core) in GIC original version)
This service is published by UConn CLEAR and is made available on CTECO. The thematic raster has multiple classes that represent different land covers. This dataset is part of the Changing Landscape series which includes 7 dates of land cover spanning 30 years, from 1985 to 2015, including change and statistics.
This webmap displays sea level rise inundation scenarios for the state of North Carolina. The map also includes C-CAP high resolution land cover data for water and impervious surfaces. This map was developed to support the North Carolina National Estuarine Research Reserve (NERR). Boundaries for National Estuarine Research Reserve locations are displayed on this map as well. For sea level rise scenarios, the map displays three levels of inundation relative to Mean Higher High Water (MHHW). The 0.0 feet of inundation presents as baseline condition for high tide water levels. A layer for 2.0 feet of sea level rise inundation approximates a spring tide (or extreme high tide) water level for the Intermediate scenario at year 2060. A layer for 4.5 feet of sea level rise inundation approximates a spring tide (or extreme high tide) water level for the Intermediate scenario at year 2100. Sea level rise inundation data displayed in these layers are from NOAA 's Office for Coastal Management's Sea Level Rise Viewer. Visit the Digital Coast tool page for the Sea Level Rise Viewer to find more information, access the tool or download data.Coastal Change Analysis Program (C-CAP) High Resolution land cover image services display impervious surfaces associated with buildings, roads, pavement and railways as well as open water coverage. Visit the C-CAP High-Resolution Land Cover homepage to learn more about the data and access download options.
This tile service displays NOAA OCM's Sea Level Rise Viewer data for 0.0 feet of inundation above Mean Higher High Water (MHHW) for the North Carolina coast, which represents a baseline high tide condition. Visit the Digital Coast tool page for the Sea Level Rise Viewer to find more information, access the tool or download data.
This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). The National Wetlands Inventory - Version 2, Surface Waters and Wetlands Inventory was derived by retaining the wetland and deepwater polygons that compose the NWI digital wetlands spatial data layer and reintroducing any linear wetland or surface water features that were orphaned from the original NWI hard copy maps by converting them to narrow polygonal features. Additionally, the data are supplemented with hydrography data, buffered to become polygonal features, as a secondary source for any single-line stream features not mapped by the NWI and to complete segmented connections. Wetland mapping conducted in WA, OR, CA, NV and ID after 2012 and most other projects mapped after 2015 were mapped to include all surface water features and are not derived data. The linear hydrography dataset used to derive Version 2 was the U.S. Geological Survey's National Hydrography Dataset (NHD). Specific information on the NHD version used to derive Version 2 and where Version 2 was mapped can be found in the 'comments' field of the Wetlands_Project_Metadata feature class. Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth, go undetected by aerial imagery. By policy, the Service also excludes certain types of "farmed wetlands" as may be defined by the Food Security Act or that do not coincide with the Cowardin et al. definition. Contact the Service's Regional Wetland Coordinator for additional information on what types of farmed wetlands are included on wetland maps. This dataset should be used in conjunction with the Wetlands_Project_Metadata layer, which contains project specific wetlands mapping procedures and information on dates, scales and emulsion of imagery used to map the wetlands within specific project boundaries. Please reference the metadata for contact information.