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. https://www.fws.gov/wetlands/Data/metadata/FWS_Wetlands.xml

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. Date of last data update: 2024-01-22 This is official RLIS data. Contact Person: Alicia Wood alicia.wood@oregonmetro.gov 503-813-7561 RLIS Metadata Viewer: https://gis.oregonmetro.gov/rlis-metadata/#/details/461 RLIS Terms of Use: https://rlisdiscovery.oregonmetro.gov/pages/terms-of-use

Wetland and surface water polygon data mapped using LiDAR based sources and high-resolution leaf on/off imagery. Mapped to meet or exceed National Wetland Inventory mapping standards for limited parts of Wisconsin. Data mapped after 2018. Visible below 1:95,000.Funding is provided by the Wisconsin Coastal Management Program, the National Oceanic and Atmospheric Administration, Office for Coastal Management under the Coastal Zone Management Act, Grant #NA19NOS419008, and the USDA Forest Service, Chequamegon-Nicolet National Forest through both the Good Neighbor Authority program in partnership with WDNR Forestry Division and internal appropriated funding. Portions of wetland mapping provided by the Great Lakes Indian Fish and Wildlife Commission in cooperation with the University of Wisconsin - Madison Department of Forestry and Wildlife Ecology and Department of Planning and Landscape Architecture.This layer should be used in conjunction with the following layers:

Wisconsin Wetland Inventory Polygon Layer (stereo-pair mapping)Wisconsin Wetland Inventory Filled/Drained Polygon Layer (stereo-pair mapping)Wisconsin Wetland Inventory Filled/Drained Point Layer (stereo-pair mapping)Wisconsin Wetland Inventory Point Layer (stereo-pair mapping)

For more information on 2013 FGDC Classification of Wetlands and Deepwater Habitats of the United States visit: https://www.fgdc.gov/standards/projects/wetlands/nwcs-2013For more information on Wisconsin DNR Wetland Mapping visit: https://dnr.wisconsin.gov/topic/Wetlands/inventory.htmlFor mapping methodology, visit: https://dnr.wisconsin.gov/sites/default/files/topic/Wetlands/WWI_SOP.pdf

OverviewThis study develops a prairie pothole wetland mapping workflow by integrating multi-date and multi-sensor optical, radar, and topographic data using deep learning segmentation models, specifically Res-UNet and DeepLabV3+. The research utilized various ResNet backbones (ResNet34, ResNet50, ResNet101, and ResNet152) to assess model performance in wetland classification.The study involved eight deep learning simulation experiments with identical parameters to evaluate the effectiveness of the models. The Res-UNet model with the ResNet152 backbone demonstrated the highest performance, achieving an overall accuracy of 95% and an average F1 Score of 0.95. The per-class F1 Scores were 0.90 for marshes, 0.96 for open water, and 0.98 for upland areas. The second and third best models were Res-UNet with ResNet50 and ResNet101 backbones, respectively, showing strong performance metrics.Data SourcesThe optimal input data comprised Sentinel-1 SAR (VH polarization channels), Sentinel-2 optical imagery (visible, near infrared, red edge, and shortwave infrared bands), and LiDAR-derived topographic variables. This multi-source data approach is essential in addressing the complexities of wetland mapping, as it captures seasonal variations and enhances classification accuracy. The workflow included preprocessing of LiDAR data, generation of wetland indicators, and subsequent segmentation and accuracy assessment.Results and DiscussionThe Res-UNet model utilizes a convolutional neural network architecture with residual blocks, allowing for effective learning of complex features. In contrast, the DeepLabV3+ model, while effective, showed tendencies for over-generalization and underestimation in wetland class predictions compared to Res-UNet. The analyses indicated that the Res-UNet models are particularly adept at handling the diverse data characteristics of prairie pothole wetlands.The results highlighted the superior capabilities of the Res-UNet model in the semantic segmentation of wetland landscapes, particularly in the prairie pothole region. The study's findings emphasize the potential of deep learning approaches in automating wetland mapping, which has traditionally relied on labor-intensive methods. The research also underscores the importance of integrating various data sources to improve classification outcomes.ConclusionIn conclusion, the study successfully demonstrates the effectiveness of a multi-sensor deep learning approach for wetland mapping in Alberta's prairie pothole region. Combining optical, radar, and topographic data using advanced deep learning architectures provides a robust framework for future wetland classification efforts. This research contributes to the growing knowledge on automated environmental monitoring and highlights the potential for scalable applications in wetland management and conservation efforts. The study advocates using publicly available data and cloud computing platforms to facilitate ongoing research and operational workflows in wetland mapping.

In the legal sense, the Water Act of January 1992 defines wetlands as “land, whether or not exploited, usually flooded or engrown with fresh water, salted or brackish permanently or temporarily; vegetation, where it exists, is dominated by hygrophilic plants for at least part of the year”. They are also mentioned in articles 127 and 128 of Law 2005-157 on the development of rural territories (including the addition of an article L. 211-1-1 to the Environmental Code).In practice, their determination (also called “cartography” in terms of rendering) is carried out locally at the level of the basin, the region, or even the department under the supervision of the Agency, the DREAL or a departmental authority... Their suppliers and descriptions may therefore be diverse.Not included here are the so-called Ramsar areas.The Sandstone has established a dictionary “Wetland Inventory” listing the elements of a common core of their description, allowing information exchange and data sharing. This inventory came from an order from DREAL, and was carried out by CEN PACA in 2012.

These data are a set of ARC/INFO coverages composed of polygonal and linear features. Coverages are based on official New York State Freshwater Wetlands Maps as described in Article 24-0301 of the Environmental Conservation Law. Coverages are not, however, a legal substitute for the official maps. Coverages are available on a county basis for all areas of New York State outside the Adirondack Park.

This layer is a component of Supplemental Layers for use with Parcel Viewer.

wetland: land, whether operated or not, that is usually flooded or engrossed with fresh water, salty or brackish on a permanent or temporary basis; vegetation, where it exists, is dominated by hygrophilic plants for at least part of the year.

This dataset is available for download from: Wetlands (File Geodatabase).Wetlands in California are protected by several federal and state laws, regulations, and policies. This layer was extracted from the broader land cover raster from the CA Nature project which was recently enhanced to include a more comprehensive definition of wetland. This wetlands dataset is used as an exclusion as part of the biological planning priorities in the CEC 2023 Land-Use Screens.This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer.For more information about this layer and its use in electric system planning, please refer to the Land Use Screens Staff Report in the CEC Energy Planning Library. Change LogVersion 1.1 (January 26, 2023)Full resolution of wetlands replaced a coarser resolution version that was previously shared. Also, file type changed from polygon to raster (feature service to tile layer service).

wetland: land, whether operated or not, that is usually flooded or engrossed with fresh water, salty or brackish on a permanent or temporary basis; vegetation, where it exists, is dominated by hygrophilic plants for at least part of the year.

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

The wetlands impacted correspond to the areas impacted or destroyed by the development project subject to the Water Act (nomenclature 3310 of the Water Act, Ministerial Order of 24 June 2008 as amended which specifies the criteria for defining and delimiting wetlands pursuant to Articles L.214-7-1 and R.211-108 of the Environmental Code). They are defined by the instructor as part of the water police missions when examining the water police file from the file submitted by the petionary and/or land information. This data is part of a set of two GIS layers: — the N_ZH_IMP_S_044 layer corresponding to wetlands impacted in the sense of water policy by a development project — the N_ZH_COMP_S_044 layer corresponding to wetlands that are compensating in the sense of water policy by a development project

Town of Monroe, MA GIS Viewer

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

Town of Leverett, MA GIS Viewer

In the legal sense, the Water Act of January 1992 defines wetlands as “land, whether or not exploited, usually flooded or engrown with fresh water, salted or brackish permanently or temporarily; vegetation, where it exists, is dominated by hygrophilic plants for at least part of the year”. They are also mentioned in articles 127 and 128 of Law 2005-157 on the development of rural territories (including the addition of an article L. 211-1-1 to the Environmental Code).In practice, their determination (also called “cartography” in terms of rendering) is carried out locally at the level of the basin, the region, or even the department under the supervision of the Agency, the DREAL or a departmental authority... Their suppliers and descriptions may therefore be diverse.Not included here are the so-called Ramsar areas.The Sandstone has established a dictionary “Wetland Inventory” listing the elements of a common core of their description, allowing information exchange and data sharing.

The probability rating which covers landcover mapping provides a continuum of wetness from dry to water. The layer is not a wetland classification but provides the wetland likelihood at a specific location. The rating was developed through a modelling process combining multiple GIS and remote sensing data sets including soil characteristics, elevation, existing wetland inventories, hydrographical extents and satellite imagery . Data available via download from the Digital Coast, either from customizable download in NOAA's Digital Access Viewer or FTP download by regions.

The Ramsar Convention, officially the Convention on Wetlands of International Importance Particularly as Waterbird Habitats, also known as the Wetlands Convention, is an international treaty adopted on 2 February 1971 for the conservation and sustainable use of wetlands, aimed at halting their degradation or extinction, today and tomorrow, by recognising their ecological functions and their economic, cultural, scientific and recreational value.

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.

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For more information, see the Aquatic Significant Habitats Factsheet at https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=150855. The California Department of Fish and Wildlife’s (CDFW) Areas of Conservation Emphasis (ACE) is a compilation and analysis of the best-available statewide spatial information in California on biodiversity, rarity and endemism, harvested species, significant habitats, connectivity and wildlife movement, climate vulnerability, climate refugia, and other relevant data (e.g., other conservation priorities such as those identified in the State Wildlife Action Plan (SWAP), stressors, land ownership). ACE addresses both terrestrial and aquatic data. The ACE model combines and analyzes terrestrial information in a 2.5 square mile hexagon grid and aquatic information at the HUC12 watershed level across the state to produce a series of maps for use in non-regulatory evaluation of conservation priorities in California. The model addresses as many of CDFWs statewide conservation and recreational mandates as feasible using high quality data sources. High value areas statewide and in each USDA Ecoregion were identified. The ACE maps and data can be viewed in the ACE online map viewer, or downloaded for use in ArcGIS. For more detailed information see https://www.wildlife.ca.gov/Data/Analysis/ACE and https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=24326.

In the legal sense, the Water Act of January 1992 defines wetlands as “land, whether or not exploited, usually flooded or engrown with fresh water, salted or brackish permanently or temporarily; vegetation, where it exists, is dominated by hygrophilic plants for at least part of the year”. They are also mentioned in articles 127 and 128 of Law 2005-157 on the development of rural territories (including the addition of an article L. 211-1-1 to the Environmental Code).In practice, their determination (also called “cartography” in terms of rendering) is carried out locally at the level of the basin, the region, or even the department under the supervision of the Agency, the DREAL or a departmental authority... Their suppliers and descriptions may therefore be diverse.Not included here are the so-called Ramsar areas.The Sandstone has established a dictionary “Wetland Inventory” listing the elements of a common core of their description, allowing information exchange and data sharing.