Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Name: Greater Chicago Natural Solutions Tool Study Area
Display Field: TPLGIS
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: ParkServe® includes a comprehensive standardized database of local parks in nearly 14,000 cities, towns and communities. Census designated urban areas were used to define where to collect and create local data for cities, towns and communities. For each city, town and community, geographic boundaries were obtained from the US Census 2010 Places geospatial dataset and associated population estimates are derived from ESRI’s 2018 Demographic Forecasts. The ParkServe® team attempted to contact each city, town and community with a request for their parks data. If no GIS data was provided, the ParkServe® team created GIS data for the place based on available resources, such as park information from municipal websites, GIS data available from counties and states, and satellite imagery.Cities, towns and communities were then emailed a link to view the park data compiled in their area to verify the boundaries and attributes of the parks in the database through our custom web-based ParkReviewer™ application.ParkServe® Data InclusionProperty eligibility criteria for ParkServe®:- Publicly-owned local, state, and national parks- School parks with a joint-use agreement with the local government. Considering the scale of the project, only the joint-use agreements collected through ParkScore® were used.- Privately-owned parks that are managed for full public useExamples of property types not included in ParkServe®:- Golf courses- CemeteriesFor field descriptions, see: https://www.tpl.org/parkserve/downloads
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: The Trust for Public Land
The Trust for Public Land's mission is to create parks and protect land for people, ensuring healthy, livable communities for generations to come. Learn more at: www.tpl.org
Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Description: The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: Funding for the Watershed Boundary Dataset (WBD) was provided by the USDA-NRCS, USGS and EPA along with other federal, state and local agenciesies. Representatives from many agencies contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the WBD Standards. Acknowledgment of the originating agencies would be appreciated in products derived from these data. See dataset specific metadata for further information
Value: Stormwater Tree, i.e., within 20 ft. of impervious surface Label: Stormwater Tree, i.e., within 20 ft. of impervious surface Description: N/A Symbol:
Description: The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public land and voluntarily provided private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastre Theme ( https://communities.geoplatform.gov/ngda-cadastre/ ). The PAD-US is an ongoing project with several published versions of a spatial database including areas dedicated to the preservation of biological diversity, and other natural (including extraction), recreational, or cultural uses, managed for these purposes through legal or other effective means. The database was originally designed to support biodiversity assessments; however, its scope expanded in recent years to include all open space public and nonprofit lands and waters. Most are public lands owned in fee (the owner of the property has full and irrevocable ownership of the land); however, permanent and long-term easements, leases, agreements, Congressional (e.g. 'Wilderness Area'), Executive (e.g. 'National Monument'), and administrative designations (e.g. 'Area of Critical Environmental Concern') documented in agency management plans are also included. The PAD-US strives to be a complete inventory of U.S. public land and other protected areas, compiling “best available” data provided by managing agencies and organizations. The PAD-US geodatabase maps and describes areas using thirty-six attributes and five separate feature classes representing the U.S. protected areas network: Fee (ownership parcels), Designation, Easement, Marine, Proclamation and Other Planning Boundaries. An additional Combined feature class includes the full PAD-US inventory to support data management, queries, web mapping services, and analyses. The Feature Class (FeatClass) field in the Combined layer allows users to extract data types as needed. A Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) facilitates the extraction of authoritative federal data provided or recommended by managing agencies from the Combined PAD-US inventory. This PAD-US Version 3.0 dataset includes a variety of updates from the previous Version 2.1 dataset (USGS, 2020, https://doi.org/10.5066/P92QM3NT ), achieving goals to: 1) Annually update and improve spatial data representing the federal estate for PAD-US applications; 2) Update state and local lands data as state data-steward and PAD-US Team resources allow; and 3) Automate data translation efforts to increase PAD-US update efficiency. The following list summarizes the integration of "best available" spatial data to ensure public lands and other protected areas from all jurisdictions are represented in the PAD-US (other data were transferred from PAD-US 2.1). Federal updates - The USGS remains committed to updating federal fee owned lands data and major designation changes in annual PAD-US updates, where authoritative data provided directly by managing agencies are available or alternative data sources are recommended. The following is a list of updates or revisions associated with the federal estate: 1) Major update of the Federal estate (fee ownership parcels, easement interest, and management designations where available), including authoritative data from 8 agencies: Bureau of Land Management (BLM), U.S. Census Bureau (Census Bureau), Department of Defense (DOD), U.S. Fish and Wildlife Service (FWS), National Park Service (NPS), Natural Resources Conservation Service (NRCS), U.S. Forest Service (USFS), and National Oceanic and Atmospheric Administration (NOAA). The federal theme in PAD-US is developed in close collaboration with the Federal Geographic Data Committee (FGDC) Federal Lands Working Group (FLWG, https://communities.geoplatform.gov/ngda-govunits/federal-lands-workgroup/ ). 2) Improved the representation (boundaries and attributes) of the National Park Service, U.S. Forest Service, Bureau of Land Management, and U.S. Fish and Wildlife Service lands, in collaboration with agency data-stewards, in response to feedback from the PAD-US Team and stakeholders. 3) Added a Federal Data Reference file geodatabase lookup table (PADUS3_0Combined_Federal_Data_References) to the PAD-US 3.0 geodatabase to facilitate the extraction (by Data Provider, Dataset Name, and/or Aggregator Source) of authoritative data provided directly (or recommended) by federal managing agencies from the full PAD-US inventory. A summary of the number of records (Frequency) and calculated GIS Acres (vs Documented Acres) associated with features provided by each Aggregator Source is included; however, the number of records may vary from source data as the "State Name" standard is applied to national files. The Feature Class (FeatClass) field in the table and geodatabase describe the data type to highlight overlapping features in the full inventory (e.g. Designation features often overlap Fee features) and to assist users in building queries for applications as needed. 4) Scripted the translation of the Department of Defense, Census Bureau, and Natural Resource Conservation Service source data into the PAD-US format to increase update efficiency. 5) Revised conservation measures (GAP Status Code, IUCN Category) to more accurately represent protected and conserved areas. For example, Fish and Wildlife Service (FWS) Waterfowl Production Area Wetland Easements changed from GAP Status Code 2 to 4 as spatial data currently represents the complete parcel (about 10.54 million acres primarily in North Dakota and South Dakota). Only aliquot parts of these parcels are documented under wetland easement (1.64 million acres). These acreages are provided by the U.S. Fish and Wildlife Service and are referenced in the PAD-US geodatabase Easement feature class 'Comments' field. State updates - The USGS is committed to building capacity in the state data-steward network and the PAD-US Team to increase the frequency of state land updates, as resources allow. The USGS supported efforts to significantly increase state inventory completeness with the integration of local parks data in the PAD-US 2.1, and developed a state-to-PAD-US data translation script during PAD-US 3.0 development to pilot in future updates. Additional efforts are in progress to support the technical and organizational strategies needed to increase the frequency of state updates. The PAD-US 3.0 included major updates to the following three states: 1) California - added or updated state, regional, local, and nonprofit lands data from the California Protected Areas Database (CPAD), managed by GreenInfo Network, and integrated conservation and recreation measure changes following review coordinated by the data-steward with state managing agencies. Developed a data translation Python script (see Process Step 2 Source Data Documentation) in collaboration with the data-steward to increase the accuracy and efficiency of future PAD-US updates from CPAD. 2) Virginia - added or updated state, local, and nonprofit protected areas data (and removed legacy data) from the Virginia Conservation Lands Database, provided by the Virginia Department of Conservation and Recreation's Natural Heritage Program, and integrated conservation and recreation measure changes following review by the data-steward. 3) West Virginia - added or updated state, local, and nonprofit protected areas data provided by the West Virginia University, GIS Technical Center. For more information regarding the PAD-US dataset please visit, https://www.usgs.gov/gapanalysis/PAD-US/. For more information about data aggregation please review the PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual . A version history of PAD-US updates is summarized below (See https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-history for more information): 1) First posted - April 2009 (Version 1.0 - available from the PAD-US: Team pad-us@usgs.gov). 2) Revised - May 2010 (Version 1.1 - available from the PAD-US: Team pad-us@usgs.gov). 3) Revised - April 2011 (Version 1.2 - available from the PAD-US: Team pad-us@usgs.gov). 4) Revised - November 2012 (Version 1.3) https://doi.org/10.5066/F79Z92XD 5) Revised - May 2016 (Version 1.4) https://doi.org/10.5066/F7G73BSZ 6) Revised - September 2018 (Version 2.0) https://doi.org/10.5066/P955KPLE 7) Revised - September 2020 (Version 2.1) https://doi.org/10.5066/P92QM3NT 8) Revised - January 2022 (Version 3.0) https://doi.org/10.5066/P9Q9LQ4B Comparing protected area trends between PAD-US versions is not recommended without consultation with USGS as many changes reflect improvements to agency and organization GIS systems, or conservation and recreation measure classification, rather than actual changes in protected area acquisition on the ground.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: U.S. Geological Survey (USGS) Gap Analysis Project (GAP), 2022, Protected Areas Database of the United States (PAD-US) 3.0: U.S. Geological Survey data release, https://doi.org/10.5066/P9Q9LQ4B
Description: This dataset is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information.This dataset consists of georeferenced digital map data and computerized attribute data. The map data are in a state-wide extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Illinois. United States Department of Agriculture, Natural Resources Conservation Service. Available online at http://datagateway.nrcs.usda.gov/. 20210831 (202110 official release).
Description: This file is a digital geospatial Environmental Systems Research Institute (ESRI) ArcGIS version 10.x File Geodatabase Polygon Feature Class representing land use in the seven northeastern Illinois counties (Cook, DuPage, Kane, Kendall, Lake, McHenry and Will). Land use is identified to nearly 60 categories, and was created using county parcel GIS boundaries and Assessor data, along with color orthorectificed aerial photography captured in the spring of 2015. Land uses were assigned to parcels using a combination of automated and manual techniques, using a variety of reference data sets for land use identification and validation. Parcels were then dissolved on common land uses (to the limits of PLS sections or assessor blocks); polygons were generated for “non-parcel” (water, right-of-way) areas and classified using automated processes, and extensive topological cleaning was necessary to minimize gap/overlap issues.NOTE: Land use polygons are based on county parcel boundaries; special care must be exercised when comparing these data to earlier (2005, 2001, 1990) Inventories, which relied on manual drafting of land use boundaries that would extend to road centerlines.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: CMAP Research and Analysis staff: David Clark (P.M.), Erik Pedersen, Noel Peterson. Interns: Kyle Acevedo, Damilare Balogun, Jeong Hoon Kim, Roxanna Lewicki.
Description: Shared Enterprise Geodata and Services (SEGS) provides an EPA-curated collection of recommended geodata assets that are nationally relevant and support the Agency’s mission to protect human health and the environment. By connecting EPA users with curated datasets and promoting service reuse, SEGS aims to enhance information access, reduce data-storage costs, and improve the consistency and quality of data at the US EPA.
This GIS dataset contains polygons depicting U.S. EPA Superfund Site boundaries. Site boundaries are polygons representing the footprint of a whole site, defined for purposes of this effort as the sum of all of the Operable Units and the current understanding of the full extent of contamination. For Federal Facility sites, the total site polygon may be the Facility boundary. As site investigation and remediation progress, OUs may be added, modified or refined, and the total site polygon should be updated accordingly. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.
EPA is interested in your feedback on this item and the SEGS collection. Please share any feedback to the SEGS Administrative Team at SEGServices@epa.gov. To request or modify SEGS content, please complete this Content Request Form.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: U.S. EPA Office of Land and Emergency Management
Description: This dataset provides eight feature classes. The base feature class is called BlockGroups_bg and isn't generalized. The weighted centroids feature class is called BlockGroups_bg_cent. The centroids are weighted by the U.S. Block Centroids population distribution. Use the weighted centroids in report aggregation and spatial overlay operations. The BlockGroups_bg and BlockGroups_bg_cent feature classes contain all the attributes. There are six generalized boundaries feature classes and called: BlockGroups_bg_gen2, BlockGroups_bg_gen3, BlockGroups_bg_gen4, BlockGroups_bg_gen5, BlockGroups_bg_gen6 and BlockGroups_bg_gen7. These generalized features classes are provided to be used in mapping applications where very detailed feature classes can slow down performance.
Description: Documentation can be found on the Economically Disconnected Areas and Disinvested Areas wiki pages.Data and documentation also available on the CMAP Data Hub at: https://datahub.cmap.illinois.gov/dataset/on-to-2050-layer-edas-disinvested-areas
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: Chicago Metropolitan Agency for Planning, 2018
Description: This file is a digital geospatial Environmental Systems Research Institute (ESRI) ArcGIS version 10.x File Geodatabase Polygon Feature Class representing land use in the seven northeastern Illinois counties (Cook, DuPage, Kane, Kendall, Lake, McHenry and Will). Land use is identified to nearly 60 categories, and was created using county parcel GIS boundaries and Assessor data, along with color orthorectificed aerial photography captured in the spring of 2015. Land uses were assigned to parcels using a combination of automated and manual techniques, using a variety of reference data sets for land use identification and validation. Parcels were then dissolved on common land uses (to the limits of PLS sections or assessor blocks); polygons were generated for “non-parcel” (water, right-of-way) areas and classified using automated processes, and extensive topological cleaning was necessary to minimize gap/overlap issues.NOTE: Land use polygons are based on county parcel boundaries; special care must be exercised when comparing these data to earlier (2005, 2001, 1990) Inventories, which relied on manual drafting of land use boundaries that would extend to road centerlines.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: CMAP Research and Analysis staff: David Clark (P.M.), Erik Pedersen, Noel Peterson. Interns: Kyle Acevedo, Damilare Balogun, Jeong Hoon Kim, Roxanna Lewicki.
Description: CMAP has developed a Stormwater and Flooding strategy paper, which will inform the recommendations made in ON TO 2050 to address urban and riverine flooding. The paper presents strategies to reduce flooding impact throughout the region by integrating stormwater management into transportation and land use planning, alongside analysis of damages from past flooding events. To help direct these strategies, CMAP has developed urban and riverine Flooding Susceptibility Indexes (FSIs) to identify priority areas across the region for flooding mitigation activities. GIS datasets representing flood susceptibility factors were used to construct the indexes, by assessing each factor’s influence using a GIS-based frequency ratio approach. The approach, inputs, and results are described in greater detail in the technical appendix of the strategy paper. The values contained within the raster attribute table represent low (1) to high (10) flood susceptibility. The inputs are listed below, alongside their sources:Reported Flood Locations: FEMA National Flood Insurance Program Claims, FEMA Individual Assistance Grants, FEMA Discovery Data, City of Chicago 311 Standing Water Locations, MWRD Detailed Watershed Plans, DuPage County GIS, Kendall County Department of Planning, Lake County Stormwater Management Commission.Topographic Wetness Index: CMAP analysis of Illinois State Geological Survey (ISGS) Light Detection and Ranging (LiDAR) data.Combined sewer service areas: Metropolitan Water Reclamation District; IL EPA; municipalities with combined sewers outside of Cook County.Elevation differential between property and nearest Base Flood Elevation (BFE): CMAP analysis of ISGS LiDAR data and FEMA BFE data.Impervious cover: 2011 National Land Cover Dataset.Impervious cover of watershed catchment: CMAP analysis of NLCD and National Hydrography Program data.Age of first development: U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Wall-to-Wall Anthropogenic Land Use Trends (NWALT) 1974-2012 land cover.Precipitation variation: NOAA Atlas 14 10-year, two hour storm event.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: Please cite the Chicago Metropolitan Agency for Planning (2017) as data source, including a link to the Stormwater and Flooding strategy paper when possible. The inputs used to create this dataset were varied, and are described alongside creation procedures in the strategy paper appendix.
Description: CMAP has developed a Stormwater and Flooding strategy paper, which will inform the recommendations made in ON TO 2050 to address urban and riverine flooding. The paper presents strategies to reduce flooding impact throughout the region by integrating stormwater management into transportation and land use planning, alongside analysis of damages from past flooding events. To help direct these strategies, CMAP has developed urban and riverine Flooding Susceptibility Indexes (FSIs) to identify priority areas across the region for flooding mitigation activities. GIS datasets representing flood susceptibility factors were used to construct the indexes, by assessing each factor’s influence using a GIS-based frequency ratio approach. The approach, inputs, and results are described in greater detail in the technical appendix of the strategy paper. The values contained within the raster attribute table represent low (1) to high (10) flood susceptibility. The inputs are listed below, alongside their sources:Reported Flood Locations: FEMA National Flood Insurance Program Claims, FEMA Individual Assistance Grants, FEMA Discovery Data, City of Chicago 311 Standing Water Locations, MWRD Detailed Watershed Plans, DuPage County GIS, Kendall County Department of Planning, Lake County Stormwater Management Commission.Topographic Wetness Index: CMAP analysis of Illinois State Geological Survey (ISGS) Light Detection and Ranging (LiDAR) data.Combined sewer service areas: Metropolitan Water Reclamation District; IL EPA; municipalities with combined sewers outside of Cook County.Elevation differential between property and nearest Base Flood Elevation (BFE): CMAP analysis of ISGS LiDAR data and FEMA BFE data.Impervious cover: 2011 National Land Cover Dataset.Impervious cover of watershed catchment: CMAP analysis of NLCD and National Hydrography Program data.Age of first development: U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Wall-to-Wall Anthropogenic Land Use Trends (NWALT) 1974-2012 land cover.Precipitation variation: NOAA Atlas 14 10-year, two hour storm event.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: Please cite the Chicago Metropolitan Agency for Planning (2017) as data source, including a link to the Stormwater and Flooding strategy paper when possible. The inputs used to create this dataset were varied, and are described alongside creation procedures in the strategy paper appendix.
Description: 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.
Description: This feature class represents the trails element and land-based greenways for the Northeastern Illinois Regional Greenways and Trails Plan - 2016 Update, recommended by the CMAP Transportation Committee. This feature class is an integral element of the Bikeway Information System. The Bikeway Information System represents existing and planned bikeways in in the Illinois Counties of Cook, DuPage, Kane, Kendall, Lake, McHenry, and Will. It is anticipated that the 2016 Update will be integrated into ON TO 2050, the comprehensive regional plan being developed for the region. In the interim, this update is suitable for regional programming purposes.January, 2022 Status Update:The status of trails (existing, planned, future, etc), has been updated to reflect lettings through January, 2022, to reflect the December, 2021 Chicago Bike Network online map, a review of previously programmed linework, the CMAP eTIP Database and Interactive Map, and a review of nearmap.com aerials to identify regionally-planned bikeways that were built in conjunction with recent land developments.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: CMAP, the Chicago Metropolitan Agency for Planning
Description: This feature class represents the trails element and land-based greenways for the Northeastern Illinois Regional Greenways and Trails Plan - 2016 Update, recommended by the CMAP Transportation Committee. This feature class is an integral element of the Bikeway Information System. The Bikeway Information System represents existing and planned bikeways in in the Illinois Counties of Cook, DuPage, Kane, Kendall, Lake, McHenry, and Will. It is anticipated that the 2016 Update will be integrated into ON TO 2050, the comprehensive regional plan being developed for the region. In the interim, this update is suitable for regional programming purposes.January, 2022 Status Update:The status of trails (existing, planned, future, etc), has been updated to reflect lettings through January, 2022, to reflect the December, 2021 Chicago Bike Network online map, a review of previously programmed linework, the CMAP eTIP Database and Interactive Map, and a review of nearmap.com aerials to identify regionally-planned bikeways that were built in conjunction with recent land developments.
Service Item Id: fd4afcc100bd47969f20dc585d8247d1
Copyright Text: CMAP, the Chicago Metropolitan Agency for Planning