Public view of the parcel layer. This view is limited to only the attributes that can be seen by the general public.The data table includes the following fields: Shape Type (Shape), Shape.STArea() (Shape_Area), Shape.STLength() (Shape_Area), Name (APN), Created By Record (CreatedbyR), Retired By Record (RetiredbyR), Stated Area, Stated Area Unit (StatedAr_1), Calculated Area (Calculated), Misclose Ratio (MiscloseRa), Misclose Distance (MiscloseDi), Is Seed (IsSeed), Created By (created_us), Created Date (created_da), Modified By (last_edite), Modified Date (last_edi_1), Validation Status (VALIDATION), APN Dashed (APN_Dashed), Map Page (Map_Page), Municipality (Municipali), FloorOrder, HideThere are approximately 51,300 real property parcels in Napa County. Parcels delineate the approximate boundaries of property ownership as described in Napa County deeds, filed maps, and other source documents. GIS parcel boundaries are maintained by the Information Technology Services GIS team. Assessor Parcel Maps are created and maintained by the Assessor Division Mapping Section. Each parcel has an Assessor Parcel Number (APN) that is its unique identifier. The APN is the link to various Napa County databases containing information such as owner name, situs address, property value, land use, zoning, flood data, and other related information. Data for this map service is sourced from the Napa County Parcels dataset which is updated nightly with any recent changes made by the mapping team. There may at times be a delay between when a document is recorded and when the new parcel boundary configuration and corresponding information is available in the online GIS parcel viewer.From 1850 to early 1900s assessor staff wrote the name of the property owner and the property value on map pages. They began using larger maps, called “tank maps” because of the large steel cabinet they were kept in, organized by school district (before unification) on which names and values were written. In the 1920s, the assessor kept large books of maps by road district on which names were written. In the 1950s, most county assessors contracted with the State Board of Equalization for board staff to draw standardized 11x17 inch maps following the provisions of Assessor Handbook 215. Maps were originally drawn on linen. By the 1980’s Assessor maps were being drawn on mylar rather than linen. In the early 1990s Napa County transitioned from drawing on mylar to creating maps in AutoCAD. When GIS arrived in Napa County in the mid-1990s, the AutoCAD images were copied over into the GIS parcel layer. Sidwell, an independent consultant, was then contracted by the Assessor’s Office to convert these APN files into the current seamless ArcGIS parcel fabric for the entire County. Beginning with the 2024-2025 assessment roll, the maps are being drawn directly in the parcel fabric layer.Parcels in the GIS parcel fabric are drawn according to the legal description using coordinate geometry (COGO) drawing tools and various reference data such as Public Lands Survey section boundaries and road centerlines. The legal descriptions are not defined by the GIS parcel fabric. Any changes made in the GIS parcel fabric via official records, filed maps, and other source documents are uploaded overnight. There is always at least a 6-month delay between when a document is recorded and when the new parcel configuration and corresponding information is available in the online parcel viewer for search or download.Parcel boundary accuracy can vary significantly, with errors ranging from a few feet to several hundred feet. These distortions are caused by several factors such as: the map projection - the error derived when a spherical coordinate system model is projected into a planar coordinate system using the local projected coordinate system; and the ground to grid conversion - the distortion between ground survey measurements and the virtual grid measurements. The aim of the parcel fabric is to construct a visual interpretation that is adequate for basic geographic understanding. This digital data is intended for illustration and demonstration purposes only and is not considered a legal resource, nor legally authoritative.

General UsagePublic users who enter the portal will land at the Parcel Search page by default. The four (4) buttons located on the top navigation bar are used to initiate searches for land parcel and tax information in the system. Note that Sales History is currently a premium feature of the Ascent Land Records Portal and be not be available every county. When the user hovers over a particular button with the mouse pointer, that button will change to the color red.If the user clicks the left mouse button while the button is red, the user will be navigated the specific search screen and will be able to enter search criteria and view the search results. A detailed explanation of each search is provided in the help topics that follow. An overview is provided below and each bullet provides a link to more detail.Parcel Search: Allows a user to locate a real estate tax parcel using one or more search criteria. A search will return the user zero or more candidate results that satisfy the search criteria. The user may then choose a specific real estate tax parcel in order to investigate it in more detail. Survey Search: A survey is an element in the Ascent Land Records System that is always related to one or more parcels. Any parcel created within the Ascent Land Records System must have an associated survey that describes what circumstances resulted in the parcel's creation. Parcels that existed prior to the county's transition to the Ascent Land Records System may not have an associated survey element.Sales History: This search provides the capability to search for property sales for a single municipality within a specified date range. It analyzes and combines data from both the county's property listing database and the county's Register of Deeds database.Plat & Condo Directory: This provides a listing of any subdivision, condominium, cemetery, and transportation plats maintained in this system by the county. Note that this information will only be available if the county department responsible for property listing records manages maintains this information in the Ascent Land Records System.

Parcels and property data maintained and provided by Lee County Property Appraiser. This dataset includes condominium units. Property attribute data joined to parcel GIS layer by Lee County Government GIS.Projected coordinate system name: NAD_1983_StatePlane_Florida_West_FIPS_0902_FeetGeographic coordinate system name: GCS_North_American_1983

 Name
 Type
 Length
 Description


 STRAP
 String
 25
 17-digit Property ID (Section, Township, Range, Area, Block, Lot)


 BLOCK
 String
 10
 5-digit portion of STRAP (positions 9-13)


 LOT
 String
 8
 Last 4-digits of STRAP


 FOLIOID
 Double
 8
 Unique Property ID


 MAINTDATE
 Date
 8
 Date LeePA staff updated record


 MAINTWHO
 String
 20
 LeePA staff who updated record


 UPDATED
 Date
 8
 Data compilation date


 HIDE_STRAP
 String
 1
 Confidential parcel ownership


 TRSPARCEL
 String
 17
 Parcel ID sorted by Township, Range & Section


 DORCODE
 String
 2
 Department of Revenue property classification code


 CONDOTYPE
 String
 1
 Type of condominium: C (commercial) or R (residential)


 UNITOFMEAS
 String
 2
 Type of Unit of Measure (ex: AC=acre, LT=lot, FF=frontage in feet)


 NUMUNITS
 Double
 8
 Number of Land Units (units defined in UNITOFMEAS)


 FRONTAGE
 Integer
 4
 Road Frontage in Feet


 DEPTH
 Integer
 4
 Property Depth in Feet


 GISACRES
 Double
 8
 Total Computed Acres from GIS


 TAXINGDIST
 String
 3
 Taxing District of Property


 TAXDISTDES
 String
 60
 Taxing District Description


 FIREDIST
 String
 3
 Fire District of Property


 FIREDISTDE
 String
 60
 Fire District Description


 ZONING
 String
 10
 Zoning of Property


 ZONINGAREA
 String
 3
 Governing Area for Zoning


 LANDUSECOD
 SmallInteger
 2
 Land Use Code


 LANDUSEDES
 String
 60
 Land Use Description


 LANDISON
 String
 5
 BAY,CANAL,CREEK,GULF,LAKE,RIVER & GOLF


 SITEADDR
 String
 55
 Lee County Addressing/E911


 SITENUMBER
 String
 10
 Property Location - Street Number


 SITESTREET
 String
 40
 Street Name


 SITEUNIT
 String
 5
 Unit Number


 SITECITY
 String
 20
 City


 SITEZIP
 String
 5
 Zip Code


 JUST
 Double
 8
 Market Value


 ASSESSED
 Double
 8
 Building Value + Land Value


 TAXABLE
 Double
 8
 Taxable Value


 LAND
 Double
 8
 Land Value


 BUILDING
 Double
 8
 Building Value


 LXFV
 Double
 8
 Land Extra Feature Value


 BXFV
 Double
 8
 Building Extra Feature value


 NEWBUILT
 Double
 8
 New Construction Value


 AGAMOUNT
 Double
 8
 Agriculture Exemption Value


 DISAMOUNT
 Double
 8
 Disability Exemption Value


 HISTAMOUNT
 Double
 8
 Historical Exemption Value


 HSTDAMOUNT
 Double
 8
 Homestead Exemption Value


 SNRAMOUNT
 Double
 8
 Senior Exemption Value


 WHLYAMOUNT
 Double
 8
 Wholly Exemption Value


 WIDAMOUNT
 Double
 8
 Widow Exemption Value


 WIDRAMOUNT
 Double
 8
 Widower Exemption Value


 BLDGCOUNT
 SmallInteger
 2
 Total Number of Buildings on Parcel


 MINBUILTY
 SmallInteger
 2
 Oldest Building Built


 MAXBUILTY
 SmallInteger
 2
 Newest Building Built


 TOTALAREA
 Double
 8
 Total Building Area


 HEATEDAREA
 Double
 8
 Total Heated Area


 MAXSTORIES
 Double
 8
 Tallest Building on Parcel


 BEDROOMS
 Integer
 4
 Total Number of Bedrooms


 BATHROOMS
 Double
 8
 Total Number of Bathrooms / Not For Comm


 GARAGE
 String
 1
 Garage on Property 'Y'


 CARPORT
 String
 1
 Carport on Property 'Y'


 POOL
 String
 1
 Pool on Property 'Y'


 BOATDOCK
 String
 1
 Boat Dock on Property 'Y'


 SEAWALL
 String
 1
 Sea Wall on Property 'Y'


 NBLDGCOUNT
 SmallInteger
 2
 Total Number of New Buildings on ParcelTotal Number of New Buildings on Parcel


 NMINBUILTY
 SmallInteger
 2
 Oldest New Building Built


 NMAXBUILTY
 SmallInteger
 2
 Newest New Building Built


 NTOTALAREA
 Double
 8
 Total New Building Area


 NHEATEDARE
 Double
 8
 Total New Heated Area


 NMAXSTORIE
 Double
 8
 Tallest New Building on Parcel


 NBEDROOMS
 Integer
 4
 Total Number of New Bedrooms


 NBATHROOMS
 Double
 8
 Total Number of New Bathrooms/Not For Comm


 NGARAGE
 String
 1
 New Garage on Property 'Y'


 NCARPORT
 String
 1
 New Carport on Property 'Y'


 NPOOL
 String
 1
 New Pool on Property 'Y'


 NBOATDOCK
 String
 1
 New Boat Dock on Property 'Y'


 NSEAWALL
 String
 1
 New Sea Wall on Property 'Y'


 O_NAME
 String
 30
 Owner Name


 O_OTHERS
 String
 120
 Other Owners


 O_CAREOF
 String
 30
 In Care Of Line


 O_ADDR1
 String
 30
 Owner Mailing Address Line 1


 O_ADDR2
 String
 30
 Owner Mailing Address Line 2


 O_CITY
 String
 30
 Owner Mailing City


 O_STATE
 String
 2
 Owner Mailing State


 O_ZIP
 String
 9
 Owner Mailing Zip


 O_COUNTRY
 String
 30
 Owner Mailing Country


 S_1DATE
 Date
 8
 Most Current Sale Date > $100.00


 S_1AMOUNT
 Double
 8
 Sale Amount


 S_1VI
 String
 1
 Sale Vacant or Improved


 S_1TC
 String
 2
 Sale Transaction Code


 S_1TOC
 String
 2
 Sale Transaction Override Code


 S_1OR_NUM
 String
 13
 Original Record (Lee County Clerk)


 S_2DATE
 Date
 8
 Previous Sale Date > $100.00


 S_2AMOUNT
 Double
 8
 Sale Amount


 S_2VI
 String
 1
 Sale Vacant or Improved


 S_2TC
 String
 2
 Sale Transaction Code


 S_2TOC
 String
 2
 Sale Transaction Override Code


 S_2OR_NUM
 String
 13
 Original Record (Lee County Clerk)


 S_3DATE
 Date
 8
 Next Previous Sale Date > $100.00


 S_3AMOUNT
 Double
 8
 Sale Amount


 S_3VI
 String
 1
 Sale Vacant or Improved


 S_3TC
 String
 2
 Sale Transaction Code


 S_3TOC
 String
 2
 Sale Transaction Override Code


 S_3OR_NUM
 String
 13
 Original Record (Lee County Clerk)


 S_4DATE
 Date
 8
 Next Previous Sale Date > $100.00


 S_4AMOUNT
 Double
 8
 Sale Amount


 S_4VI
 String
 1
 Sale Vacant or Improved


 S_4TC
 String
 2
 Sale Transaction Code


 S_4TOC
 String
 2
 Sale Transaction Override Code


 S_4OR_NUM
 String
 13
 Original Record (Lee County Clerk)


 LEGAL
 String
 255
 Full Legal Description (On Deed)


 GARBDIST
 String
 3
 County Garbage Hauling Area


 GARBTYPE
 String
 1
 County Garbage Pick-up Type


 GARBCOMCAT
 String
 1
 County Garbage Commercial Category


 GARBHEADER
 String
 1
 Garbage Header Code


 GARBUNITS
 Double
 8
 Number of Garbage Units


 CREATEYEAR

This layer contains the boundaries and IDs of the Maryland tax maps produced by Maryland Department of Planning. Tax maps, also known as assessment maps, property maps or parcel maps, are a graphic representation of real property showing and defining individual property boundaries in relationship to contiguous real property.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer/2

The statewide composite of parcels (cadastral) data for New Jersey was developed during the Parcels Normalization Project in 2008-2014 by the NJ Office of Information Technology, Office of GIS (NJOGIS.) The normalized parcels data are compatible with the NJ Department of the Treasury system currently used by Tax Assessors, and those records have been joined in this dataset. This composite of parcels data serves as one of the framework GIS datasets for New Jersey. Stewardship and maintenance of the data will continue to be the purview of county and municipal governments, but the statewide composite will be maintained by NJOGIS.Parcel attributes were normalized to a standard structure, specified in the NJ GIS Parcel Mapping Standard, to store parcel information and provide a PIN (parcel identification number) field that can be used to match records with suitably-processed property tax data. The standard is available for viewing and download at https://njgin.state.nj.us/oit/gis/NJ_NJGINExplorer/docs/NJGIS_ParcelMappingStandardv3.2.pdf. The PIN also can be constructed from attributes available in the MOD-IV Tax List Search table (see below).This feature class includes a large number of additional attributes from matched MOD-IV records; however, not all MOD-IV records match to a parcel, for reasons explained elsewhere in this metadata record. The statewide property tax table, including all MOD-IV records, is available as a separate download "MOD-IV Tax List Search Plus Database of New Jersey." Users who need only the parcel boundaries with limited attributes may obtain those from a separate download "Parcels Composite of New Jersey". Also available separately are countywide parcels and tables of property ownership and tax information extracted from the NJ Division of Taxation database.The polygons delineated in this dataset do not represent legal boundaries and should not be used to provide a legal determination of land ownership. Parcels are not survey data and should not be used as such. Please note that these parcel datasets are not intended for use as tax maps. They are intended to provide reasonable representations of parcel boundaries for planning and other purposes. Please see Data Quality / Process Steps for details about updates to this composite since its first publication.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

GIS Map view look up parcel information including owner, taxes, market value and more.Important Mailing Label Information:The "Mailing Labels" button is is copy of the Parcels Layer and is intended to be turned OFF on the map, and is there just for the "Public Notification" Widget. This widget obtains information on the pop-up of a selected layer to create "Mailing Labels." This said, this layer contains the Owners Mailing Address information. Below is Arcaded used to customize the pop-up:Made three custom Arcade Lines below: Proper($feature["OWNER_NAM1"]) + Proper($feature["OWNER_NAM2"])Proper($feature["OWNER_ADDR"])Proper($feature["OWNER_CITY"]) + ',' + $feature["OWNER_STAT"] + ',' + $feature["OWNER_ZIP"]Below is the custom pop-up:{expression/expr0}{expression/expr1}{expression/expr2}

This layer provides the current land parcel polygons with associated descriptive data and is provided for users that require a separation of road parcels and hydro parcels and thereby require the balance layer (i.e. the remaining primary parcels).

The combination of this layer with the road parcels and hydro parcels equates to the primary parcels layer which provides all current parcels for New Zealand (i.e. excludes historic and pending parcels).

This layer has a nominal accuracy of 0.1-1m in urban areas and 1-100m in rural areas. For more detailed information about parcel accuracies please refer to the Survey Boundary Marks layer which contains accuracies for each parcel node.

This set of three parcel layers ('road', 'hydro' and 'land') tables easy access to the most common groupings of parcel intents.

If you require approved or historic parcels see the All Parcels Layer

The originating data for parcel/title associations includes some non-official sources where the official data does not support a link. For more information see

This is a comprehensive point theme that incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given tax assessment account. Data for the Parcel point theme are obtained from the State Department of Assessments and Taxation with added data from Maryland Department of Planning. The date the point was most recently published in Planning's data products MdProperty View and FINDER Quantum is contained in the mdpvdate field. The date of the most recent Assessments data linkage to MdProperty View/FINDER Quantum points is contained in the sdatdate field. Accounts deleted between those two dates are no longer represented as points. For more information on the attribute definitions please see the MdProperty View User's Guide, available for download at https://planning.maryland.gov/Pages/OurProducts/DownloadFiles.aspx . Please Note: Due to the extensive size of the parcel points file, download is recommended from the REST endpoint (https://geodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer/exts/MDiMapDataDownload/customLayers/0)This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer/0**Please note, due to the size of this dataset, you may receive an error message when trying to download the dataset. You can download this dataset directly from MD iMAP Services at: https://geodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer/exts/MDiMAPDataDownload/customLayers/0**

March 2025

Analysis of ‘OC Land Use 2015’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5e040bf7-b00a-423f-96eb-8b82b63a4874 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

--- Original source retains full ownership of the source dataset ---

Parcels_2004_BACI File Geodatabase Feature Class Thumbnail Not Available Tags Social Order, Land, Social System, Hierarchy, Territory, Parcels, BES, Property Summary Land ownership analysis. Description Property Parcel boundaries for Baltimore City, 2004 edition. Can be linked to the MD Property View Assessors and Taxation (A&T) Databse using the BLOCKLOT field. Accuracy issues have been observed in this layer, particularly in areas where there appears to have been recent construction. In those areas parcel boundaries may not correspond to actual ground conditions. In addition 12 parcels have no BLOCKLOT identifier, another 97 have BLOCKLOT codes identifying them as 'ROW', 'ERROR', or 'ERROR/ROW', leaving 109 parcels that cannot be joined to the A&T Database. Excluding these, there are 242 duplicate BLOCKLOT codes shared by 672 parcels. The number of duplicates for a single parcel ranges from 2 to 72. Credits UVM Spatial Analysis Lab Use limitations BES use only. Extent West -76.713449 East -76.525885 North 39.374474 South 39.195049 Scale Range There is no scale range for this item.

Vector polygon map data of property parcels from Las Vegas, Nevada, containing 794,465 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.

Vector polygon map data of property parcels from the City of San Antonio, Texas containing 629,531 features.

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

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

Attributes for this data layer include: Shape_area, GlobalID, Shape_len, Shape, ModifiedDate, ParcelKey, and ModifiedUID.

Available for viewing and sharing 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.

The Real Property Records Search allows the user to obtain ownership information as of January 1, value of improvements and land, photo of improvement, sales information for the last three (3) years, view the tax bill and GIS Mapping information associated with a parcel.Disclaimer: Data presented on the Tax Administration Records Search website is extracted from actual public records. Users are hereby notified that the aforementioned public primary information sources should be consulted for verification of the information contained on this website. While our department has made every effort to use the most current and accurate data, the County of Durham and software companies assume no legal responsibility for the information contained in the Tax Administration Records Search website. Please direct any questions or comments about the data displayed here to tax_assessor@dconc.gov.

This application shows comprehensive data for properties in the City of Winchester, Virginia. This data includes school district information, fire and rescue first due area, voting information, refuse and recycling and zoning information. It also shows the tax card information for each property queried.

This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2018 20m classified pixels dataset. All further LCM2018 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6

BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE. A spatial representation of land use. The polygons contained in this feature class were derived from the Oakland County Tax Parcel feature class. Each parcel was categorized by its land use. When a parcel has multiple land uses, the dominant land use is shown. Assessing records and orthophotography were the main sources used to attribute each tax parcel with land use information. The data was collected in 2005. Key attributes are the land use and key pin (Sidwell number). Land Use stores the Land Use description for each parcel. The Key Pin is the unique Parcel Identification Number (Pin) used to link the parcel to the parcel attributes which are stored and maintained in Oakland County Land Records.The 2005 version of land use was created using the 2004 version as a primary source. It was assumed that if the Parcel Identification Number and the Use Code were equal in both years, then the land use did not change. Thus, only the parcels where a change occured had to be assigned a land use.The development process consists of three basic steps. First, parcels with use codes that are assumed to relate to a single land use are categorized as such. Second, parcels with a use code that is assumed to relate to more than one land use are manually classified using orthophotography and ownership as a reference. Lastly, tax parcels, right-of-way, and hydrography are unioned to create a single land use dataset.Assumptions:Any parcel classified as vacant may be an accessory use to an adjacent, commonly owned, improved parcel. In this event, the vacant parcel is reclassified as the use of the adjacent, commonly owned, improved parcel. It should be noted, however, that parcels with use codes of RV, SV, and LV, that represent a single family vacant use, are exempt from this assumption.Parcels with an Equalization use code of RV, SV, or LV may include uses to be reclassified as Vacant or Recreation & Conservation (due to subdivision open space). These parcels are not manually checked. Queries are conducted to search for those parcels that are subdivision open space. The following strings are queried from the Owner1 and Owner2 fields: "*own*" (unknown, homeowner), "ass*" (association, ass'n, etc), and "park."The Equalization use code BI, Business Improved includes uses that are reclassified as Commercial/Office. Uses may also fall into Public/Institutional, however, all BI parcels are not manually checked for reclassification.The Equalization use code MM, Miscellaneous Business includes uses that are reclassified as Recreation and Conservation, Multiple Family, Commercial/Office, or Mobile Home Park.The Equalization use code ME, Miscellaneous Exempt includes uses that are reclassified as Recreation & Conservation, Public/Institutional, Transportation, Utility & Communication, Industrial (municipal landfills), or any Single Family classification.The Equalization use code KI, Condominium Improved includes uses that are reclassified as Multiple Family, Single Family, or Commercial/Office. Any parcel with an Equalization use code of FI, Farm Improved or FV, Farm Vacant is considered to be an active agricultural use.Any parcel with an Equalization use code of II, Industrial Improved is considered to be an industrial use.Any parcel with an Equalization use code of FC, Farm Conservation is considered to be a recreational/conservation use.Any parcel with an Equalization use code of AI, Apartment Improved is considered to be a multiple family residential use.Any parcel with an Equalization use code of UI, Utility Improved is considered to be a transportation, utility, or communication related use.Parcels with an Equalization use code of DI, Developmental Improved are reclassified as Single Family or Vacant.Any parcel with an Equalization use code of DV for Developmental Vacant may be reclassified as Vacant, Recreation & Conservation, (golf courses) or Industrial (mining or extractive).Polygons in the ROW region of the parcel coverage will be classified as Recreation and Conservation, and Commercial/Office, Vacant, Road ROW, and Railroad ROW.Because of inconsistencies in Use Code data, unique uses, and the goal of creating an accurate coverage that is not limited by its metadata, there may be exceptions from these assumptions.Exceptions:There are nine isolated cases where the land use would be tremendously overstated if the whole parcel was shown in a single use. In these cases, the polygon was split to show the use of the rest of the parcel vacant. These parcels are listed below: 01-29-451-001 01-35-300-014 04-08-200-002 04-24-100-004 07-13-301-006 14-04-376-002 18-19-476-015 21-10-200-001 21-10-200-002

This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty. A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/c9449bf5-b8f6-4a1c-b3eb-0d70575cba39

This data set contains a shapefile of a digitized map of the land parcel information of the original properties of the Uruara colonization site, Para, Brazil, acquired from the Instituto de Colonizacao e Reforma Agraria, or the Colonization and Agrarian Reform Institute (INCRA). The Uruara settlement geometry was initially designed by INCRA, and consists of mostly 100 hectare lots (400 x 2500 meters, and 500 x 2000 meters), running north and south of the Trans-Amazon Highway, as a fine network of small, narrow rectangles. The other parcels in the landscape are the so-called glebas that range up to 3,000 hectares.

The map was in the form of a paper map without a projection (a spherical geographic coordinate system) in the South American 1969 datum (SAD 1969). This paper map was digitized in Environmental Science Research Institute (ESRI) ArcInfo 8.1 using a digitizing table, and the digital cadastral data were geo-referenced and projected to match the Universal Transverse Mercator projection (Zone 22 South, World Geodetic System 1984 datum) of Landsat imagery (Landsat.org). There is one compressed (*.zip) file with this data set.

This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2019 20m classified pixels dataset. All further LCM2019 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/44c23778-4a73-4a8f-875f-89b23b91ecf8