Parcels and Land Ownership dataset current as of unknown. This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions.

Web map for City Properties and Facilities in support of the Land & Building Management System

Historic land uses on lots that were vacant, privately owned, and zoned for manufacturing in 2009. Information came from a review of several years of historical Sanborn maps over the past 100 years. When the SPEED 1.0 mapping application was created in 2009, OER had its vendor examine historic land use maps on vacant, privately-owned, industrially-zoned tax lots. Up to seven years of maps for each lot were examined, and information was recorded that indicated industrial uses or potential environmental contamination such as historic fill. Data for an additional 139 lots requested by community-based organizations was added in 2014. Each record represents the information from a map from a particular year on a particular tax lot at that time. Limitations of funding determined the number of lots included and entailed that not all years were examined for each lot.

Minnesota's original public land survey plat maps were created between 1848 and 1907 during the first government land survey of the state by the U.S. Surveyor General's Office. This collection of more than 3,600 maps includes later General Land Office (GLO) and Bureau of Land Management maps up through 2001. Scanned images of the maps are available in several digital formats and most have been georeferenced.

The survey plat maps, and the accompanying survey field notes, serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They also are an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. Finally, they testify to many years of hard work by the surveying community, often under very challenging conditions.

The deteriorating physical condition of the older maps (drawn on paper, linen, and other similar materials) and the need to provide wider public access to the maps, made handling the original records increasingly impractical. To meet this challenge, the Office of the Secretary of State (SOS), the State Archives of the Minnesota Historical Society (MHS), the Minnesota Department of Transportation (MnDOT), MnGeo and the Minnesota Association of County Surveyors collaborated in a digitization project which produced high quality (800 dpi), 24-bit color images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes of data. Funding was provided by MnDOT.

In 2010-11, most of the JPEG plat map images were georeferenced. The intent was to locate the plat images to coincide with statewide geographic data without appreciably altering (warping) the image. This increases the value of the images in mapping software where they can be used as a background layer.

To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021

Donation sent to the University of Idaho Library Government Documents Librarian a CD containing General Land Office maps on it. A readme file on the CD contains this information:"I obtained the attached GLO maps from Mitch Price at River Design Group who obtained them from another source. These maps apparently do not have a date, I assume it was stripped off when they were rectified. These maps show the Great Northern Rail line, it arrived in Bonners Ferry in 1892. The Spokane International Railroad (Union Pacific purchased this line) built a bridge across the Kootenai R. in 1906." "I am a bit puzzled on the map dates, the Kootenai River Master Plan indicated these maps are 1862-65 but they also show the Great Northern Rail line but not the Spokane International Railroad which seems to place them somewhere between 1892 - 1906 unless perhaps they were revised at a later date."Gary Barton USGS Tacoma, WA 253-552-1613 officegbarton@usgs.gov

MassGIS' standardized assessors’ parcel mapping data set contains property (land lot) boundaries and database information from each community's assessor.The data were developed through a competitive procurement funded by MassGIS. Each community in the Commonwealth was bid on by one or more vendors and the unit of work awarded was a city or town. The specification for this work was Level 3 of the MassGIS Digital Parcel Standard.This map service contains three feature classes and one table.Feature service also available.See the datalayer page for full details.

We are also including tabular version that’s slightly more comprehensive (would include anything that didn’t join to the parcel basefile due to lot alterations or resubdivisions since 2023 and/or due to parcels comprised of condos). There are approximately 200 records that don't join to the spatial parcel file and some additional that are null in the spatial parcel file, altogether around 560 total. This Excel file can be downloaded HERE, and does not contain the latitude and longitude information.Data Dictionary:Attribute LabelDefinitionSourceTAX_IDUnique 26 character property tax identification numberOnondaga County PlanningPRINTKEYAbbreviated tax identification number (section-block-lot)Onondaga County PlanningADDRESSNUMProperty’s physical street addressOnondaga County PlanningADDRESSNAMProperty’s physical street nameOnondaga County PlanningTAX_ID_1City Tax ID number (26 digit number used for parcel mapping)City of Syracuse - AssessmentSBLProperty Tax Map Number (Section, Block, Lot)City of Syracuse - AssessmentPNUMBRProperty Number (10 digit number)City of Syracuse - AssessmentStNumParcel street numberCity of Syracuse - AssessmentStNameParcel street nameCity of Syracuse - AssessmentFullAddressStreet number and street nameCity of Syracuse - AssessmentZipParcel zip codeCity of Syracuse - Assessmentdesc_1Lot description including dimensionsCity of Syracuse - Assessmentdesc_2Lot description including dimensionsCity of Syracuse - Assessmentdesc_3Lot description including dimensionsCity of Syracuse - AssessmentSHAPE_IND City of Syracuse - AssessmentLUC_parcelNew York State property type classification code assigned by assessor during each roll categorizing the property by use. For more details: https://www.tax.ny.gov/research/property/assess/manuals/prclas.htmCity of Syracuse - AssessmentLU_parcelNew York State property type classification nameCity of Syracuse - AssessmentLUCat_OldLegacy land use category that corresponds to the overarching NYS category, i.e. all 400s = commercial, all 300s = vacant land, etc.NAland_avLand assessed valueCity of Syracuse - Assessmenttotal_avFull assessed valueCity of Syracuse - AssessmentOwnerProperty owner name (First, Initial, Last, Suffix)City of Syracuse - AssessmentAdd1_OwnPOBoxProperty owner mailing address (PO Box)City of Syracuse - AssessmentAdd2_OwnStAddProperty owner mailing address (street number, street name, street direction)City of Syracuse - AssessmentAdd3_OwnUnitInfoProperty owner mailing address unit info (unit name, unit number)City of Syracuse - AssessmentAdd4_OwnCityStateZipProperty owner mailing address (city, state or country, zip code)City of Syracuse - AssessmentFRONTFront footage for square or rectangular shaped lots and the effective front feet on irregularly shaped lots in feetCity of Syracuse - AssessmentDEPTHActual depth of rectangular shaped lots in feet (irregular lots are usually measured in acres or square feet)City of Syracuse - AssessmentACRESNumber of acres (where values were 0, acreage calculated as FRONT*DEPTH)/43560)City of Syracuse - Assessmentyr_builtYear built. Where year built was "0" or null, effective year built is given. (Effective age is determined by comparing the physical condition of one building with that of other like-use, newer buildings. Effective age may or may not represent the actual year built; if there have been constant upgrades or excellent maintenance this may be more recent than the original year built.)City of Syracuse - Assessmentn_ResUnitsNumber of residential unitsNA - Calculated fieldIPSVacantIs it a vacant structure? ("Commercial" or "Residential" = Yes; null = No)City of Syracuse - Division of Code EnforcementIPS_ConditionProperty Condition Score assigned to vacant properties by housing inspectors during routine vacant inspections (1 = Worst; 5 = Best)City of Syracuse - Division of Code EnforcementNREligibleNational Register of Historic Places Eligible ("NR Eligible (SHPO)," or "NR Listed")City of Syracuse - Neighborhood and Business DevelopmentLPSSLocally Protected Site Status ("Eligible/Architecturally Significant" or "Local Protected Site or Local District")City of Syracuse - Neighborhood and Business DevelopmentWTR_ACTIVEWater activity code ("I" = Inactive; "A" = Active)City of Syracuse - WaterRNIIs property located in Resurgent Neighborhood Initiative (RNI) Area? (1 = Yes; 0 = No)City of Syracuse - Neighborhood and Business DevelopmentDPW_QuadGeographic quadrant property is located in. Quadrants are divided Northwest, Northeast, Southwest, and Southeast based on property location in relation to I-81 and I-690. DPW uses the quad designation for some types of staff assignments.City of Syracuse - Department of Public WorksTNT_NAMETNT Sector property is located inCity of Syracuse - Neighborhood and Business DevelopmentNHOODCity NeighborhoodSyracuse-Onondaga County Planning Agency (SOCPA)NRSAIs property located in Neighborhood Revitalization Strategy Area (NRSA)? (1 = Yes; 0 = No)City of Syracuse - Neighborhood and Business DevelopmentDOCE_AreaGeographic boundary use to assign Division of Code Enforcement casesCity of Syracuse - Neighborhood and Business DevelopmentZONE_DIST_PREVFormer zoning district codeSyracuse-Onondaga County Planning Agency (SOCPA)REZONEReZone designation (adopted June 2023)City of Syracuse - Neighborhood and Business DevelopmentNew_CC_DISTCurrent Common Council District property is located inOnondaga County Board of ElectionsCTID_2020Census Tract ID (2020)U.S. Census BureauCTLAB_2020Census Tract Label (2020)U.S. Census BureauCT_2020Census Tract (2020)U.S. Census BureauSpecNhoodIs property located in a special Neighborhood historic preservation district? (1 = Yes; 0 or null = No)Syracuse-Onondaga County Planning Agency (SOCPA)InPDIs property located in preservation district? (1 = Yes; 0 or null = No)Syracuse-Onondaga County Planning Agency (SOCPA)PDNAMEPreservation District nameSyracuse-Onondaga County Planning Agency (SOCPA)ELECT_DISTElection district numberOnondaga County Board of ElectionsCITY_WARDCity ward numberOnondaga County Board of ElectionsCOUNTY_LEGOnondaga County Legislative District number (as of Dec 2022)Onondaga County Board of ElectionsNYS_ASSEMBNew York State Assembly District number (as of Dec 2022)Onondaga County Board of ElectionsNYS_SENATENew York State Senate District number (as of Dec 2022)Onondaga County Board of ElectionsUS_CONGRUnited States Congressional District numberOnondaga County Board of Elections

This is the web map that is used in the U.S. Fish &Wildlife Service's Alaska Region online portal for 1:30,000 scale geoPDF topographic maps of the National Wildlife Refuges within the state of Alaska.The maps accessible via the online portal cover 100% of the Alaska National Wildlife Refuges, for a total of 604 maps. Each map covers an area 25 miles east/west by 25 miles north/south, for a total of 625 square miles per map sheet. The maps display land ownership within the Refuges, as well as Refuge and Wilderness boundaries, and towships and ranges (the Public Land Survey System , or PLSS), all overlaid on top of U.S. Geological Survey 1:63,360 scale hillshaded topographic maps.These maps are in the geoPDF format, which is the standard Adobe PDF format, with the addition of geographic referencing information embedded in the file. This allows the user to load the maps into a GPS-enabled mobile device (phone, tablet, etc.) for reference, navigation, and data-recording in the field, without the need for a cell phone connection.

Extensive land use and geographic data at the tax lot level in GIS format (ESRI Shapefile). Contains more than seventy fields derived from data maintained by city agencies, merged with tax lot features from the Department of Finance’s Digital Tax Map, clipped to the shoreline. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

The Woodlands land and property features web map including commercial & residential properties, area & boundary, open space reserves (OSR's), streets, neighborhoods & subdivision plats, MUD's (Municipal Utility Districts), RUD (Right-of-Way Utility District), associations, villages, county commissioner precincts, GreenUp (Earth Day) sites & routes, parks, aquatic pools, trails & trail features, lakes & ponds, and branches, creeks & streams.Users may explore the map using 'Search' box tool to find a property by address or business by name, and toggle on additional layers from layers list to display, interact with and query even more feature data on the map.

Taiwan area land office jurisdictional data.......

Land Cover Map 2021 (LCM2021) is a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2021. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2021. Land cover maps describe the physical material on the surface of the country. For example grassland, woodland, rivers & lakes or man-made structures such as roads and buildingsThis is a 10 m Classified Pixel dataset, classified to create a single mosaic of national cover. Provenance and quality:UKCEH’s automated land cover classification algorithms generated the 10m classified pixels. Training data were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.Land cover was validated by organising the pixel classification into a land parcel framework (the LCM2021 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy.View full metadata information and download the data at catalogue.ceh.ac.uk

This tile package shows land use by parcel according to state assessing codes

This is a web map service (WMS) for the 10-metre Land Cover Map 2023. The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy.

The CNES Land Cover Map (Occupation des Sols, OSO) produces land classification for Metropolitan France at 10 m spatial resolution based on Sentinel-2 L2A data within the Theia Land Cover CES framework. Maps for 2021, 2020, 2019, and 2018 use a 23-categories nomenclature. For earlier maps in 2017 and 2016, a fully compatible 17-classes nomenclature is employed.

This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.

Vector polygon map data of property parcels from Harris County, Texas containing 1,410,276 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 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 Florida TIITF Land Records Spatial Index is a document based GIS layer to be displayed as a map comprised of polygons and attributes representing parcels described in deeds, leases, easements and other instruments archived in the Title Archives of the Division of State Lands, Department of Environmental Protection for the Florida Board of Trustees of the Internal Improvement Trust Fund (TIITF). The polygons represent parcels described in the archived TIITF land record documents; this is not a tax map or a representation of current ownership. The data includes acquisitions, dispositions and encumbrances. Selecting a parcel on the map may return information about several different documents associated with that parcel through out the history of State land transactions involving that parcel.