Geospatial data about Putnam County, Tennessee Parcels. Export to CAD, GIS, PDF, CSV and access via API.

Vector polygon map data of property parcels from Memphis, Tennessee containing 349,370 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

Property boundaries for Washington, Carter, Sullivan, and Unicoi Counties. All data is received directly from the county in question, but may not reflect the most recent updates. Visit the Tennessee Property Data Home Page for additional information about individual parcels.

Geospatial data about Williamson County, Tennessee Parcels. Export to CAD, GIS, PDF, CSV and access via API.

This app is for viewing parcels and addresses within Bristol, TN including city owned parcels and structures.

This map was produced for the Murfreesboro, Tennessee Urban Tree Canopy Assessment project. Data were derived from USDA's National Agriculture Imagery Program (NAIP) 2021 imagery. Results were aggregated to various target geographies. Basemap provided by ESRI. June 10, 2022 03_UTCbyZIPCodes map.This Urban Tree Canopy (UTC) Assessment of Murfreesboro, TN was conducted by PlanIT Geo, Inc. for the City of Murfreesboro, Tennessee. Using high-resolution aerial imagery from the USDA's National Agriculture Imagery Program (NAIP), PlanIT Geo used remote sensing and GIS techniques to map and measure land cover types across several geographic scales. This assessment identifies existing UTC and Possible Planting Areas (PPA) to assist in developing an urban forest management planning. Note: Percentages are based on land area only (except for water and impervious, which are a percentage of total area)UTC Metrics by ZIP Codes: Murfreesboro ZIP Code Total Area (Acres) Land Area (Acres) Distribution of Land Area % UTC (Acres) UTC % Distribution of UTC % Total PPA (Acres) Total PPA % Distribution of PPA % Total Unsuitable UTC (Acres) Total Unsuitable UTC % Total Impervious Area (Acres) Total Impervious Area % Water (Acres) Water %

37127 5,371 5,335 13% 1,356 25% 14% 2,982 56% 14% 997 19% 1,186 22% 37 1%

37128 11,245 11,142 27% 2,397 22% 25% 5,881 53% 28% 2,864 26% 3,298 29% 102 1%

37129 14,466 14,329 35% 3,303 23% 34% 7,330 51% 35% 3,697 26% 4,571 32% 137 1%

37130 9,315 9,261 23% 2,461 27% 25% 4,274 46% 20% 2,526 27% 3,225 35% 54 1%

37132 395 395 1% 47 12% 0% 214 54% 1% 134 34% 210 53% 0 0%

37153 460 459 1% 99 21% 1% 341 74% 2% 19 4% 21 4% 0 0%

Totals 41,252 40,921 100% 9,662 24% 100% 21,023 51% 100% 10,236 25% 12,511 30% 331 1%

TDEC is continuously striving to create better business practices through GIS and one way that we have found to provide information and answer some question is utilizing an interactive map. An interactive map is a display of geospatial data that allows you to manipulate and query the contents to get the information needed using a set of provided tools. Interactive maps are created using GIS software, and then distributed to users, usually over a computer network. The TDEC Land and Water interactive map will allow you to do simple tasks such as pan, zoom, measure and find a lat/long, while also giving you the capability of running simple queries to locate land and waters by name, entity, and number. With the ability to turn off and on back ground images such as aerial imagery (both black and white as well as color), we hope that you can find much utility in the tools provided.

This map depicts hail storms in Tennessee from 1955-2017. Map is currently symbolized by hail diameter in inches. The map could also be symbolized by the property loss, injuries, or fatalities.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

This dataset was developed for use with the Tennessee STATSGO data base as an additional datafile. Each record in the datafile relates to a STATSGO MUID number which is assigned to a polygon(s) in the STATSGO geographic coverage. Four soil attributes were derived from the COMP and LAYER datafiles of STATSGO, all of which are represented as percentages of the particular map unit's area. By representing these properties as percentages, a four-color (CMYK) display can be utilized to represent the properties more effectively than a single-color or grayscale display.

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, agriculture, and wetlands. Forest is defined as Trees & Forest and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This map is for viewing city council districts as well as properties and building footprints owned by the City of Bristol Tennessee.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

The Leadville North 7.5' quadrangle lies at the northern end of the Upper Arkansas Valley, where the Continental Divide at Tennessee Pass creates a low drainage divide between the Colorado and Arkansas River watersheds. In the eastern half of the quadrangle, the Paleozoic sedimentary section dips generally 20-30 degrees east. At Tennessee Pass and Missouri Hill, the core of the Sawatch anticlinorium is mapped as displaying a tight hanging-wall syncline and foot-wall anticline within the basement-cored structure. High-angle, west-dipping, Neogene normal faults cut the eastern margin of the broad, Sawatch anticlinorium. Minor displacements along high-angle, east- and west-dipping Laramide reverse faults occurred in the core of the north-plunging anticlinorium along the western and eastern flanks of Missouri Hill. Within the western half of the quadrangle, Meso- and Paleoproterozoic metamorphic and igneous rocks are uplifted along the generally east-dipping, high-angle Sawatch fault system and are overlain by at least three generations of glacial deposits in the western part of the quadrangle. 10Be and 26Al cosmogenic nuclide ages of the youngest glacial deposits indicate a last glacial maximum age of about 21-22 kilo-annum and complete deglaciation by about 14 kilo-annum, supported by chronologic studies in adjacent drainages. No late Pleistocene tectonic activity is apparent within the quadrangle.

This feature class contains polygons representing the boundaries of all public access land under the Tennessee Department of Environment and Conservation. The lands represented within include Tennessee State Parks, Natural Areas, Archaeological Sites, Historical Sites, and more. The boundaries represented within do not constitute a survey product and are not legally binding. Limited attributes include site/park name and designation. The data are updated weekly on Wednesdays to reflect the most up-to-date boundary information. For printable and downloadable maps of our Tennessee State Parks, please visit TNStateParks.com.

This map was produced for the Murfreesboro, Tennessee Urban Tree Canopy Assessment project. Data were derived from USDA's National Agriculture Imagery Program (NAIP) 2021 imagery. Results were aggregated to various target geographies. Basemap provided by ESRI. June 10, 2022 05_PPAbyLandUse map.This Urban Tree Canopy (UTC) Assessment of Murfreesboro, TN was conducted by PlanIT Geo, Inc. for the City of Murfreesboro, Tennessee. Using high-resolution aerial imagery from the USDA's National Agriculture Imagery Program (NAIP), PlanIT Geo used remote sensing and GIS techniques to map and measure land cover types across several geographic scales. This assessment identifies existing UTC and Possible Planting Areas (PPA) to assist in developing an urban forest management planning.

This map was produced for the Murfreesboro, Tennessee Urban Tree Canopy Assessment project. Data were derived from USDA's National Agriculture Imagery Program (NAIP) 2021 imagery. Results were aggregated to various target geographies. Basemap provided by ESRI. June 10, 2022 03_UTCbyZoning map.This Urban Tree Canopy (UTC) Assessment of Murfreesboro, TN was conducted by PlanIT Geo, Inc. for the City of Murfreesboro, Tennessee. Using high-resolution aerial imagery from the USDA's National Agriculture Imagery Program (NAIP), PlanIT Geo used remote sensing and GIS techniques to map and measure land cover types across several geographic scales. This assessment identifies existing UTC and Possible Planting Areas (PPA) to assist in developing an urban forest management planning.Note: Percentages are based on land area only (except for water and impervious, which are a percentage of total area)UTC Metrics by Zoning: Murfreesboro Zoning Type Total Area (Acres) Land Area (Acres) Distribution of Land Area % UTC (Acres) UTC % Distribution of UTC % Total PPA (Acres) Total PPA % Distribution of PPA % Total Unsuitable UTC (Acres) Total Unsuitable UTC % Total Impervious Area (Acres) Total Impervious Area % Water (Acres) Water %

Central Business District 48 48 0% 3 7% 0% 19 40% 0% 26 53% 43 88% 0 0%

College and University 641 638 2% 81 13% 1% 301 47% 1% 257 40% 274 43% 3 0%

Commercial 5,257 5,224 13% 1,096 21% 11% 2,983 57% 14% 1,145 22% 2,149 41% 33 1%

Industrial 4,427 4,392 11% 1,009 23% 10% 2,414 55% 11% 969 22% 1,722 39% 36 1%

Mixed Use 440 430 1% 48 11% 0% 285 66% 1% 96 22% 150 34% 10 2%

Office 195 191 0% 54 28% 1% 93 49% 0% 44 23% 80 41% 4 2%

Parks 1,148 1,127 3% 464 41% 5% 384 34% 2% 278 25% 114 10% 21 2%

Planned Developments 8,781 8,718 21% 1,560 18% 16% 4,923 56% 23% 2,235 26% 2,438 28% 63 1%

Residential 20,313 20,152 49% 5,348 27% 55% 9,620 48% 46% 5,185 26% 5,542 27% 161 1%

Totals 41,251 40,921 100% 9,662 24% 100% 21,023 51% 100% 10,236 25% 12,510 30% 331 1%

This map was produced for the Murfreesboro, Tennessee Urban Tree Canopy Assessment project. Data were derived from USDA's National Agriculture Imagery Program (NAIP) 2021 imagery. Results were aggregated to various target geographies. Basemap provided by ESRI. June 10, 2022 01_LandCover_5Class map.This Urban Tree Canopy (UTC) Assessment of Murfreesboro, TN was conducted by PlanIT Geo, Inc. for the City of Murfreesboro, Tennessee. Using high-resolution aerial imagery from the USDA's National Agriculture Imagery Program (NAIP), PlanIT Geo used remote sensing and GIS techniques to map and measure land cover types across several geographic scales. This assessment identifies existing UTC and Possible Planting Areas (PPA) to assist in developing an urban forest management planning.

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 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, 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 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 over twenty-five attributes and five feature classes representing the U.S. protected areas network in separate feature classes: Fee (ownership parcels), Designation, Easement, Marine, Proclamation and Other Planning Boundaries. Five additional feature classes include various combinations of the primary layers (for example, Combined_Fee_Easement) to support data management, queries, web mapping services, and analyses. This PAD-US Version 2.1 dataset includes a variety of updates and new data from the previous Version 2.0 dataset (USGS, 2018 https://doi.org/10.5066/P955KPLE ), achieving the primary goal to "Complete the PAD-US Inventory by 2020" (https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-vision) by addressing known data gaps with newly available data. 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 PAD-US, along with continued improvements and regular maintenance of the federal theme. Completing the PAD-US Inventory: 1) Integration of over 75,000 city parks in all 50 States (and the District of Columbia) from The Trust for Public Land's (TPL) ParkServe data development initiative (https://parkserve.tpl.org/) added nearly 2.7 million acres of protected area and significantly reduced the primary known data gap in previous PAD-US versions (local government lands). 2) First-time integration of the Census American Indian/Alaskan Native Areas (AIA) dataset (https://www2.census.gov/geo/tiger/TIGER2019/AIANNH) representing the boundaries for federally recognized American Indian reservations and off-reservation trust lands across the nation (as of January 1, 2020, as reported by the federally recognized tribal governments through the Census Bureau's Boundary and Annexation Survey) addressed another major PAD-US data gap. 3) Aggregation of nearly 5,000 protected areas owned by local land trusts in 13 states, aggregated by Ducks Unlimited through data calls for easements to update the National Conservation Easement Database (https://www.conservationeasement.us/), increased PAD-US protected areas by over 350,000 acres. Maintaining regular Federal updates: 1) Major update of the Federal estate (fee ownership parcels, easement interest, and management designations), including authoritative data from 8 agencies: Bureau of Land Management (BLM), U.S. Census Bureau (Census), 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), 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) Complete National Marine Protected Areas (MPA) update: from the National Oceanic and Atmospheric Administration (NOAA) MPA Inventory, including conservation measure ('GAP Status Code', 'IUCN Category') review by NOAA; Other changes: 1) PAD-US field name change - The "Public Access" field name changed from 'Access' to 'Pub_Access' to avoid unintended scripting errors associated with the script command 'access'. 2) Additional field - The "Feature Class" (FeatClass) field was added to all layers within PAD-US 2.1 (only included in the "Combined" layers of PAD-US 2.0 to describe which feature class data originated from). 3) Categorical GAP Status Code default changes - National Monuments are categorically assigned GAP Status Code = 2 (previously GAP 3), in the absence of other information, to better represent biodiversity protection restrictions associated with the designation. The Bureau of Land Management Areas of Environmental Concern (ACECs) are categorically assigned GAP Status Code = 3 (previously GAP 2) as the areas are administratively protected, not permanent. More information is available upon request. 4) Agency Name (FWS) geodatabase domain description changed to U.S. Fish and Wildlife Service (previously U.S. Fish & Wildlife Service). For more information regarding the PAD-US dataset please visit, https://usgs.gov/gapanalysis/PAD-US/. For more information about data aggregation please review the Online PAD-US Data Manual available at https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/pad-us-data-manual .