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 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.

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 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 dataset contains files created, digitized, or georeferenced by Chris DeRolph for mapping the pre-urban renewal community within the boundaries of the Riverfront-Willow St. and Mountain View urban renewal projects in Knoxville TN. Detailed occupant information for properties within boundaries of these two urban renewal projects was extracted from the 1953 Knoxville City Directory. The year 1953 was chosen as a representative snapshot of the Black community before urban renewal projects were implemented. The first urban renewal project to be approved was the Riverfront-Willow Street project, which was approved in 1954 according to the University of Richmond Renewing Inequality project titled ‘Family Displacements through Urban Renewal, 1950-1966’ (link below in the 'Other shapefiles' section). For ArcGIS Online users, the shapefile and tiff layers are available in AGOL and can be found by clicking the ellipsis next to the layer name and selecting 'Show item details' for the layers in this webmap https://knoxatlas.maps.arcgis.com/apps/webappviewer/index.html?id=43a66c3cfcde4f5f8e7ab13af9bbcebecityDirectory1953 is a folder that contains:JPG images of 1953 City Directory for street segments within the urban renewal project boundaries; images collected at the McClung Historical CollectionTXT files of extracted text from each image that was used to join occupant information from directory to GIS address datashp is a folder that contains the following shapefiles:Residential:Black_owned_residential_1953.shp: residential entries in the 1953 City Directory identified as Black and property ownersBlack_rented_residential_1953.shp: residential entries in the 1953 City Directory identified as Black and non-owners of the propertyNon_Black_owned_residential_1953.shp: residential entries in the 1953 City Directory identified as property owners that were not listed as BlackNon_Black_rented_residential_1953.shp: residential entries in the 1953 City Directory not listed as Black or property ownersResidential shapefile attributes:cityDrctryString: full text string from 1953 City Directory entryfileName: name of TXT file that contains the information for the street segmentsOccupant: the name of the occupant listed in the City Directory, enclosed in square brackets []Number: the address number listed in the 1953 City DirectoryBlackOccpt: flag for whether the occupant was identified in the City Directory as Black, designated by the (c) or (e) character string in the cityDrctryString fieldOwnerOccpd: flag for whether the occupant was identified in the City Directory as the property owner, designated by the @ character in the cityDrctryString fieldUnit: unit if listed (e.g. Apt 1, 2d fl, b'ment, etc)streetName: street name in ~1953Lat: latitude coordinate in decimal degrees for the property locationLon: longitude coordinate in decimal degrees for the property locationrace_own: combines the BlackOccpt and OwnerOccpd fieldsmapLabel: combines the Number and Occupant fields for map labeling purposeslastName: occupant's last namelabelShort: combines the Number and lastName fields for map labeling purposesNon-residential:Black_nonResidential_1953.shp: non-residential entries in the 1953 City Directory listed as Black-occupiedNonBlack_nonResidential_1953.shp: non-residential entries in the 1953 City Directory not listed as Black-occupiedNon-residential shapefile attributes:cityDrctryString: full text string from 1953 City Directory entryfileName: name of TXT file that contains the information for the street segmentsOccupant: the name of the occupant listed in the City Directory, enclosed in square brackets []Number: the address number listed in the 1953 City DirectoryBlackOccpt: flag for whether the occupant was identified in the City Directory as Black, designated by the (c) or (e) character string in the cityDrctryString fieldOwnerOccpd: flag for whether the occupant was identified in the City Directory as the property owner, designated by the @ character in the cityDrctryString fieldUnit: unit if listed (e.g. Apt 1, 2d fl, b'ment, etc)streetName: street name in ~1953Lat: latitude coordinate in decimal degrees for the property locationLon: longitude coordinate in decimal degrees for the property locationNAICS6: 2022 North American Industry Classification System (NAICS) six-digit business code, designated by Chris DeRolph rapidly and without careful considerationNAICS6title: NAICS6 title/short descriptionNAICS3: 2022 North American Industry Classification System (NAICS) three-digit business code, designated by Chris DeRolph rapidly and without careful considerationNAICS3title: NAICS3 title/short descriptionflag: flags whether the occupant is part of the public sector or an NGO; a flag of '0' indicates the occupant is assumed to be a privately-owned businessrace_own: combines the BlackOccpt and OwnerOccpd fieldsmapLabel: combines the Number and Occupant fields for map labeling purposesOther shapefiles:razedArea_1972.shp: approximate area that appears to have been razed during urban renewal based on visual overlay of usgsImage_grayscale_1956.tif and usgsImage_colorinfrared_1972.tif; digitized by Chris DeRolphroadNetwork_preUrbanRenewal.shp: road network present in urban renewal area before razing occurred; removed attribute indicates whether road was removed or remains today; historically removed roads were digitized by Chris DeRolph; remaining roads sourced from TDOT GIS roads dataTheBottom.shp: the approximate extent of the razed neighborhood known as The Bottom; digitized by Chris DeRolphUrbanRenewalProjects.shp: boundaries of the East Knoxville urban renewal projects, as mapped by the University of Richmond's Digital Scholarship Lab https://dsl.richmond.edu/panorama/renewal/#view=0/0/1&viz=cartogram&city=knoxvilleTN&loc=15/35.9700/-83.9080tiff is a folder that contains the following images:streetMap_1952.tif: relevant section of 1952 map 'Knoxville Tennessee and Surrounding Area'; copyright by J.U.G. Rich and East Tenn Auto Club; drawn by R.G. Austin; full map accessed at McClung Historical Collection, 601 S Gay St, Knoxville, TN 37902; used as reference for street names in roadNetwork_preUrbanRenewal.shp; georeferenced by Chris DeRolphnewsSentinelRdMap_1958.tif: urban renewal area map from 1958 Knox News Sentinel article; used as reference for street names in roadNetwork_preUrbanRenewal.shp; georeferenced by Chris DeRolphusgsImage_grayscale_1956.tif: May 18, 1956 black-and-white USGS aerial photograph, georeferenced by Chris DeRolph; accessed here https://earthexplorer.usgs.gov/scene/metadata/full/5e83d8e4870f4473/ARA550590030582/usgsImage_colorinfrared_1972.tif: April 18, 1972 color infrared USGS aerial photograph, georeferenced by Chris DeRolph; accessed here https://earthexplorer.usgs.gov/scene/metadata/full/5e83d8e4870f4473/AR6197002600096/usgsImage_grayscale_1976.tif: November 8, 1976 black-and-white USGS aerial photograph, georeferenced by Chris DeRolph; accessed here https://earthexplorer.usgs.gov/scene/metadata/full/5e83d8e4870f4473/AR1VDUT00390010/

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.

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

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

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 spatial dataset is quantifying soil organic carbon (SOC) and total nitrogen (TN) storage with their carbon to nitrogen ratio (C/N) in soils of the northern circumpolar permafrost region (17.9 × 10⁶ km²) based on ESA’s Climate Change Initiative (CCI) Global Land Cover dataset at 300 m pixel resolution.

The dataset contains GIS grids of the northern circumpolar permafrost region for SOC, TN and C/N ratio for the following depth increments (0⁠ – ⁠30, 0⁠ – ⁠50, 0⁠ – ⁠100, 100⁠ – ⁠200, 200⁠ – ⁠300, 0⁠ – ⁠300 cm). These GIS grids are based on 651 soil pedons encompassing more than 6500 samples from 16 different study areas across the northern permafrost region.

Additional metadata with the actual pedon and profile data is available as a companion dataset.

Citation

Juri Palmtag, Jaroslav Obu, Peter Kuhry, Matthias Siewert, Niels Weiss, Gustaf Hugelius (2022) A high spatial resolution soil carbon and nitrogen dataset for the northern permafrost region. Dataset version 1. Bolin Centre Database. https://doi.org/10.17043/palmtag-2022-spatial-1

Data description

The dataset contains 18 GIS grids of the northern circumpolar permafrost region; one grid for each of the three variables SOC, TN and C/N ratio for each of the following six depth increments (0⁠ – ⁠30, 0⁠ – ⁠50, 0⁠ – ⁠100, 100⁠ – ⁠200, 200⁠ – ⁠300, 0⁠ – ⁠300 cm).

There GIS grids are provided as tif, tfw and xml files. Total uncompressed file size: 10 GB. A compressed (zip) file is available for download. Compressed file size: 141.5 MB.

Comments

The used permafrost region dataset stretches over 17.9 × 10⁶ km² of the Northern Hemisphere, and is based on equilibrium state model for the temperature at the top of the permafrost (TTOP) for the 2000⁠ – ⁠2016 period (Obu et al. 2019).

Detailed pedon data on soil carbon and nitrogen for the northern permafrost region, based on 6529 analyzed samples from 651 soil pedons in 16 different sampling locations, is available as a companion dataset.

The GIS dataset is based on the companion dataset and is part of a publication.

All profiles were assigned to land cover class based on field descriptions. The main aim of the field studies compiled in the companion dataset was to perform SOC/TN pool inventories of each study area considering different land cover types, geomorphological landforms and soil properties.

For the upscaling, we used the land cover map from the Global ESA Land cover Climate Change Initiative (CCI) project at 300 m spatial resolution, retrieved from the ESA Climate Change Initiative Land Cover visualization interface.

We thank the ESA CCI Land Cover project for providing their data, which was used for upscaling our product to circumpolar scale.

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%

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_UUTCbyCensusTracts 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)

0%-10% 10%-20% 20%-30% 30%-40% 40%-50% 50%-100%

Urban Tree Canopy 1 14 12 9 2 0

Possible Planting Area 0 0 0 6 12 21