Property map viewer for the State of Tennessee that covers 85 of the 95 counties in Tennessee.This application allows for searching and displaying property ownership and location information for 87 counties in Tennessee. It is designed to work in concert with the Real Estate Assessment Data site operated by the Comptroller of the Treasury. The following counties are not available in this application but can be found on their own internet sites: Bradley, Davidson (Metro Nashville), Hamilton (Chattanooga), Knox (Knoxville), Montgomery (Clarksville), Rutherford(Murfreesboro), Shelby (Memphis), Sumner, Unicoi, and Williamson.

Vector polygon map data of property parcels from Nashville, Tennessee containing 268,019 features.

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

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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.

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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.

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%

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.

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. 04_UTCChangebyCreekBuffer 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 05_PPAbyZoning 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 raster map depicts outdoor settings (closely related to human land-use) for the counties surrounding the Oak Ridge Reservation (Anderson, Blount, Loudon, Knox, Monroe, and Roane). This data layer is a 90 meter grid subset of the setting map created as part of the SAMAB (Southern Appalachian Man and the Biosphere Program) SAA (Southern Appalachian Assessment). It identifies portions of the region which were coded as one of the several Settings by the team that assessed outdoor recreation settings. The data set was created by combining maps of land cover, roads, utility corridors, and protected areas such as Wilderness and National Parks. The land cover map was converted to a map of existing land use categories such as 'forested' and 'sub-urban'. Information about roads, utility corridors, and protected areas was then used to refine these themes into composite setting descriptors. The areas of different setting descriptors were compiled by ecological sections and were compared to existing maps of management designations and recreational features. All of the maps used in this study were part of a standard geographic database which was prepared for the Southern Appalachian Assessment. counties.

 A map depicting human land use can be created by aggregating the preceding classes into rural, urban, sub-urban, and transitional. 

Setting legend categories include the following: 1 Rural - pastoral/agricultural 2 Rural - partially forested 3 Semi-primitive - natural appearing 4 Roaded - natural appearing 5 Rural - forested 6 Transitional 7 Sub-urban 8 Urban 9 Water 10 Unknown 11 Primitive - naturally evolving 12 Semi-primitive - naturally evolving 13 Roaded - naturally evolving

Cell maps for each oil and gas assessment unit were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in an assessment unit or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, dry, or the type of production of the wells located within the cell is unknown. The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary PI/Dwights PLUS Well Data. No proprietary data are displayed or included in the cell maps. The data from PI/Dwights PLUS Well Data were current as of October 2001 when the cell maps were created in 2002.

Mapping soil quality (nutrients, carbon quality, process dynamics) has recently been undertaken as part of an effort to characterize baseline conditions for performance assessment of Everglades recovery activities. While large scale maps are useful for characterization of spatial pattern, several layers of uncertainty limit use as measures of performance and restoration progress. In particular, large scale maps (Greater Everglades) make specific assumptions about short range variability that are not well quantified. Nugget variance (variability in space over short separation distances) directly confounds use of baseline map products because future spatial sampling will not, in practicality, be at identical locations. If nugget variability is high, then significant uncertainty about ecosystem change arises from not knowing if observed differences arise from intrinsic ecosystem processes or from responses to human management. Our primary objective is to determine the extent to which spatial variability and sampling uncertainty confound ecological change detection. We will use hierarchically nested sampling of soils to establish nugget variability so that change through time can be assigned as observational uncertainty or management response. A related issue for mapping soil nutrients is greatly improving our understanding of the role of ecosystems in regulating nutrient conditions. Previous mapping efforts regarded space as the primary co-variate with soil nutrients, when there are numerous reasons to expect that ecological type and status are more important descriptors (with spatial autocorrelation playing a secondary, though still significant role). Our second objective is to partition variability in soil nutrient conditions in space and time, by ecosystem type, ecological status, and proximity to canals. We anticipate sampling of soils on a fine scale which traverse ecological transitions will help develop predictive models of the role of ecosystem type, geographic setting and, eventually, spatial structuring in regulating soil processes.

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_PPAbySchools 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 05_PPAbyWatersheds 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_UTCbyLandUse 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 Land Use: Murfreesboro Land Use 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 %

Business Park 897 897 3% 237 26% 3% 567 63% 3% 93 10% 216 24% 0 0%

Central Business District 54 54 0% 6 12% 0% 22 41% 0% 25 47% 41 76% 0 0%

Commercial 4,634 4,595 13% 892 19% 10% 3,006 65% 16% 696 15% 1,720 37% 39 1%

Industrial 2,183 2,170 6% 562 26% 6% 1,168 54% 6% 440 20% 859 39% 13 1%

Park 2,201 2,035 6% 945 46% 10% 679 33% 4% 410 20% 113 5% 166 8%

Public / Institutional 3,148 3,136 9% 549 18% 6% 1,696 54% 9% 890 28% 979 31% 12 0%

Residential 19,408 19,331 55% 5,223 27% 58% 9,876 51% 52% 4,232 22% 4,696 24% 77 0%

Undeveloped 428 427 1% 60 14% 1% 361 84% 2% 7 2% 9 2% 1 0%

Urban Commercial / Mixed Use 2,555 2,537 7% 581 23% 6% 1,671 66% 9% 284 11% 560 22% 18 1%

Totals 35,508 35,182 100% 9,057 26% 100% 19,048 54% 100% 7,077 20% 9,193 26% 326 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 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 04_UTCChangebyZoning 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.UTC Change Metrics by Zoning: Murfreesboro Zoning Type Total Area (Acres) Land Area (Acres) UTC 2012 (Acres) UTC 2012 (%) UTC 2021 (Acres) UTC 2021 (%) UTC Change 2012-2021 (Acres) Raw Change (%) Relative Change (%)

Central Business District 48 48 2 5% 3 7% 1 2% 36%

College and University 641 638 66 10% 81 13% 14 2% 21%

Commercial 5,257 5,224 1,124 22% 1,096 21% -28 -1% -3%

Industrial 4,427 4,392 1,108 25% 1,009 23% -100 -2% -9%

Mixed Use 440 430 61 14% 48 11% -13 -3% -21%

Office 195 191 55 29% 54 28% -1 -1% -2%

Parks 1,148 1,127 451 40% 464 41% 13 1% 3%

Planned Developments 8,781 8,718 2,082 24% 1,560 18% -522 -6% -25%

Residential 20,313 20,152 5,453 27% 5,348 27% -105 -1% -2%

Totals 41,251 40,921 10,403 25% 9,662 24% -741 -2% -7%

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_PPAbyCensusTracts 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. 03_UTCby CreekBuffer 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)

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. Produced by PLANIT GEO originally as an mxd file. Basemap provided by ESRI. June 10,2022. 02_UTC_PPA 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 No PDF map was presented.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 HUC-12 Watershed: Murfreesboro HUC-12 Watershed 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 %

Bear Branch-East Fork Stones River 5,558 5,546 14% 1,256 23% 13% 2,689 48% 13% 1,601 29% 1,836 33% 12 0%

Lower West Fork Stones River 15,788 15,641 38% 3,775 24% 39% 7,832 50% 37% 4,033 26% 5,196 33% 147 1%

Lytle Creek 6,526 6,472 16% 1,784 28% 18% 3,260 50% 16% 1,429 22% 1,920 29% 54 1%

Middle Fork Stones River 3,055 3,006 7% 725 24% 8% 1,491 50% 7% 789 26% 994 33% 49 2%

Overall Creek 8,231 8,174 20% 1,566 19% 16% 4,640 57% 22% 1,969 24% 2,203 27% 56 1%

Upper West Fork Stones River 953 951 2% 387 41% 4% 384 40% 2% 179 19% 187 20% 2 0%

Wades Branch-East Fork Stones River 1,141 1,131 3% 169 15% 2% 727 64% 3% 235 21% 174 15% 10 1%

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