4 datasets found
  1. 2010 Land Use Inventory for Northeastern Illinois

    • datahub.cmap.illinois.gov
    Updated Jun 13, 2016
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    Chicago Metropolitan Agency for Planning (2016). 2010 Land Use Inventory for Northeastern Illinois [Dataset]. https://datahub.cmap.illinois.gov/datasets/2010-land-use-inventory-for-northeastern-illinois
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    Dataset updated
    Jun 13, 2016
    Dataset provided by
    Chicago Metropolitan Agency For Planning
    Authors
    Chicago Metropolitan Agency for Planning
    Area covered
    Description

    This file is a digital geospatial Environmental Systems Research Institute (ESRI) ArcGIS File Geodatabase Polygon Feature Class representing land use in the seven northeastern Illinois counties (Cook, DuPage, Kane, Kendall, Lake, McHenry and Will). Land use is identified to 60 categories, and was created using county parcel GIS boundaries and Assessor data, along with color orthorectificed aerial photography captured in April, 2010. Land uses were assigned to parcels using a combination of automated and manual techniques, using a variety of reference data sets for land use identification and validation. Parcels were then dissolved on common land uses (to the limits of PLS sections or assessor blocks); polygons were generated for “non-parcel” (water, right-of-way) areas and classified using automated processes, and extnesive topological cleaning was necessary to minimize gap/overlap issues.In addition to this metadata record, additional information can be found in the following documents:2010 Land Use Inventory Classification Scheme2010 Land Use Inventory Geodatabase Schema2010 Land Use Inventory MetadataLANDUSE lookup .csv table to support shapefile downloadsProcess Narrative: Creating the 2010 Land Use Inventory for Northeastern IllinoisProcess Narrative Addendum: Creating Version 2.0Comparison Guide: Differences between the 2010 and 2005 Land Use InventoriesNOTE: Land use polygons are based on county parcel boundaries; special care must be exercised when comparing these data to earlier (2005, 2001, 1990) Inventories, which relied on manual drafting of land use boundaries that would extend to road centerlines. Additionally, the classification scheme was rewritten to accommodate the parcel approach; see the "comparison guide" link above for inter-inventory analysis guidance.

  2. a

    Parcels

    • chester-county-s-gis-hub-chesco.hub.arcgis.com
    • hub.arcgis.com
    Updated Apr 12, 2016
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    ChescoMaps - Chester County, PA (2016). Parcels [Dataset]. https://chester-county-s-gis-hub-chesco.hub.arcgis.com/datasets/parcels
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    Dataset updated
    Apr 12, 2016
    Dataset authored and provided by
    ChescoMaps - Chester County, PA
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Description

    The PARCELS layer depicts mapped land parcels or real estate properties within Chester County. This data contains geometric representations capturing the general size, shape and location for all of the real estate properties, which can be mapped, on the County's land surface.

    ContactsTim Cassel, County of Chester

    Tcassel@chesco.org, 610-344-5441, 313 W. Market St Suite 5302 West Chester, PA 19380ResourceUpdate frequency of dataset: Weekly Last Update Date: August 2023Accuracy of attribute: Attributes are correct as per County of Chester Assessment DepartmentPositional accuracy of dataset:The PARCELS layer (and derived copies PARCEL_PUBLISH and PRCL_POLY) was originally created through a conversion process of digitizing hand drawn tax maps into digital form and orientating the tax map sheets and parcels to the features depicted in the 1993 orthophotos. These parcel polygon features were adjusted based on aerial photography dated April 7, 1993, and road centerlines, right-of-way lines and other physical features generated from the same photography. While the imagery has a pixel resolution of 1.5 square feet, a positional accuracy of +/- 5 feet and is designed for use at a scale of 1 inch = 200 feet, the resulting PARCELS horizontal accuracy varies from reasonably accurate in the best cases to less accurate in the worst cases. Subsequent and current map update processes include metes and bounds entry from subdivision and deed information, as well as property corner locations based on GPS points and the utilization of our newest imagery datasets. While the update processes include more accurate methods, the resultant overall accuracy is still dependent on the surrounding parcel fabric's varied accuracy. Planimetric coordinates are based on the Pennsylvania State Plane Coordinate System South Zone and North American Datum 1983 Spatial ReferenceType: ProjectedGeographic Coordinate Reference: GCS North America 1983Projected Coordinate System: NAD 1983 State Plane Pennsylvania SouthLinear Unit: US Survey Feet

    Note: There is a difference between land use code and zoning. Land management occurs via a land use designation which determines the land use code. This designation specifies how land and resources within it is managed. Zoning designations define how a property can be developed and used and it is controlled by each township/borough. See below for list of codes.Field DescriptionUPI - Uniform Parcel Identification Number, a unique value given to each parcelPIN_MAP - A Tie-back parcel identification number used to link UPI values to the parcel on which they residePIN_COMMON - A variation of UPI which adds and E for Exempt, U for Utility or T for TrailerPIN_ASMNT - A long form of the UPI number used for assessment purposesCODE (see below for list of codes)MULTI_POLY - Number listing for each parcel of a Multi-Poly parcel. (Example 1 of 20, 2 of 20)POLY_PER_PARCEL - Number of polygons that make up a parcel (0 indicates it is just one polygon)SQFT_PLAN_TOT - The square footage of a parcel (taken from the recorded plan or deed)ACRE_PLAN_TOT - The acreage of a parcel (taken from the recorded plan or deed)ACRE_PLAN_POLY - The acreage of the polygon depicting the parcel, derived by mapping softwareXCOORD - X coordinate of the centroid of the polygonYCOORD - Y coordinate of the centroid of the polygonLOC_ADDRESS - The location address for a parcelMUNI - The municipality the parcel resides inST_NUM - Street Number of the Situs AddressNUM_SUF - Street Number Suffix of the Situs AddressDIR - Street directional of the Situs Address (N, E, S, W)ST_NAME - Street Name of the Situs AddressST_TYPE - Street thorough fair type of the Situs AddressUNIT - Unit Type (see codes below)UNIT_N - Unit numberAD_ROLE - Situs Address Functional Role (see below for list of codes)NO_ADDR_CODE - No longer usedTILE_1200 - Outdated reference system, no longer usedTILE_2400 - Outdated reference system, no longer usedSUBDIV_NUMBER - Number assigned by Recorder of Deeds to a recorded documentLOT - Lot number given to parcel on the recorded planLAND_DEV_ID - Number assigned by Planning Commission for their tracking purposesCREATE_DATE - Date the parcel was mapped into the inactive parcel layerACTIVE_DATE - Date the parcel was added to the active parcel layerOWN1 - Owner of recordOWN2 - Owner of record if more than oneADDR1 - Component of the mailing address on recordADDR2 - Component of the mailing address on recordADDR3 - Component of the mailing address on recordZIP1 - Zipcode of mailing address on recordTAXYR - For Assessment purposesJURIS - Municipality Number where parcel is taxedBOOK - The book number of the recorded deedPAGE - The page number of the recorded deedDEED_REC_DATE - Date the latest deed was recordedLEGAL1 - Description of property location according to the deedLEGAL2 - Description of the taxable property and buildings according to the deedLUC - Landuse code assigned by assessment office. (unrelated to municipal zoning of a parcel) ((see below for list of codes))CLASS - General landuse classification assigned by assessment office (see below for list of codes)LOT_ASSESS - Assessed value of the landPROP_ASSESS - Assessed value of the structuresTOT_ASSESS - Assessed value of the combination of land and structuresFMV319 - Fair Market Value if not under 319FMV515 - Fair Market Value if not under 515LAST_SALE_PRICE - Last recorded sale priceASMNT_DATE - For Assessment Department use onlySCHDIST - The school district within which the parcel resides (see below for list of codes)SUBDIV_NAME - Name of the recorded planPLAN_NUM - Number assigned by the Planning Commission for their tracking purposesMODIFY_DATE - Last edit date of the parcel Data Dictionary Code1000= Parcel1010= Condominium (mother or host parcel)1011= Common Law Condo1020= Hydrography1031= Paper ROW1033= Land polygon with a ROW1034= Land dedicated to an existing ROW1035=- Private Road1040= Open Space1042= Common Area1043= Open Space owned by Homeowners Association1710= Parcel Assessed in Lancaster County but located in Chester County1711= Parcel Assessed in Berks County but located in Chester County1712= Parcel Assessed in Montgomery County but located in Chester County1713= Parcel Assessed in Delaware County but located in Chester County1714= Parcel Assessed in New Castle County but located in Chester County1715= Parcel Assessed in Cecil County but located in Chester County2000= Parcel bisected by a ROW (Duplicate Pin)2040= Open Space (Duplicate Pin)2042= Common Area (Duplicate Pin)2043= Open Space owned by Homeowners Association2010= Condominium (Duplicate Pin) LUCC-10= Banks, Savings&LoanC-20= Gas StationC-30= Restaurants, Stores (Retail)C-35= Condominium StoresC-40= Motels, HotelsC-41= Nursing HomesC-50= Shopping CentersC-60= Office Bldgs/Laboratory/LibraryC-65= Office CondoC-67= Office Condo Common LawC-70= Commercial Garage/Shop/Car DealersC-80= WarehouseC-81= Storage TanksC-90= Entertainment, RecreationC-91= Recreation (Private)C-92= Mobile Home Parks (4+)C-93= Burial Grounds/MausoleumC-94= AirportsC-95= Private SchoolsC-96= Commercial OBY onlyE-10= ChurchesE-11= CemetariesE-12= Service ConnectedE-13= Chester County PropertyE-20= SchoolsE-30= Public UtilitiesE-40= RailroadsE-50= Hospitals, etcE-60= StateE-61= State ParksE-62= FederalE-63= FederalE-70= Local Government (Townships & Boroughs)E-71= Local Government ParksE-80= Non-Profit OrganizationsE-90= Fire CompaniesF-10= Farm 10-19.99 AcresF-20= Farm 20-79.99 AcresF-40= Farm 80 Acres and overM-10= Heavy IndustrialM-20= Light IndustrialM-25= Light Industrial CondominiumM-30= Quarry/LandfillN-01= Not assessed in Chester CountyR-10= Single Family/CabinR-20= Two FamilyR-30= Multi Family/Dorms/SingleR-40= Apartments (4-19 Units)R-50= CodominiumR-55= Town House (Common Law Condo)R-60= Dwelling W/Comm Use Primary RR-61= Dwelling W/Comm Use Primary CR-70= Mobile HomeR-80= Barns, Stables, Pools, Misc BldgR-90= Apartment Complex (20 or more units)R-95= Common Elements (Not Open Space)T-10= Trailers and Mobile HomesU-03= Public UtilitiesU-04= RailroadsV-10= Vacant Land ResidentialV-11= Vacant Land CommercialV-12= Open SpaceV-13= Road Beds, Right of Way, Access WayV-14= Basins, Drainage ControlV-35= Condo Store/Vacant Common ElementV-50= Condo/Vacant Common ElementV-55= Condo Common Law/Common AreaV-65= Condo Office/Vacant Common ElementV-67= Condo Common Law Office/Common AreaClassA= ApartmentC= CommercialE= ExemptF= FarmI= IndustrialR= ResidentialU= Utility

    SchDist1= Avon Grove2= Coatesville3= Downingtown4= Kennett Consolidated5= Octorara6= Owen J. Roberts7= Oxford8= Phoenixville9= Twin Valley10= Unionville Chaddsford11= West Chester12= Great Valley13= Tredyffrin-Easttown14= Springford

  3. Data from: Parcel-level vector data for scaled land utilization analysis in...

    • springernature.figshare.com
    zip
    Updated Jun 17, 2025
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    Xiande Wu; Wei Wu; Yikai Zhao; Liao Yang; You Zeng; Rui Liu; Shuangyan Huang; Weisheng Wang (2025). Parcel-level vector data for scaled land utilization analysis in Xinjiang based on remote sensing image [Dataset]. http://doi.org/10.6084/m9.figshare.28210715.v1
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    zipAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Xiande Wu; Wei Wu; Yikai Zhao; Liao Yang; You Zeng; Rui Liu; Shuangyan Huang; Weisheng Wang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Xinjiang
    Description

    The scaled utilization of cultivated land has enhanced agricultural development and productivity. Quantifying its spatial distribution is essential for optimizing agricultural decision-making. Xinjiang, a vital grain production region in China, holds paramount study significance due to its distinct geographical location and fragile natural environment. However, most studies on cultivated land fragmentation rely on outdated raster datasets. In this study, we introduce a cultivated land dataset of Xinjiang in a vector form with higher boundary accuracy, and more suitable for cultivated land statistics. A novel parcel extraction method that integrates the Swin Transformer for multi-scale semantic information and DiffusionEdge for capturing fine boundary details is proposed, which enhancing the accuracy of land parcel extraction from 10-meter resolution Sentinel-2 imagery, obtained from the Copernicus Open Access Hub. Finally, we present a practical and up-to-date vector dataset of cultivated land. The Technical Validation analysis substantiates the reliability and applicability of the dataset. Through this study, we contribute to developing a replicable methodology for robust cultivated land extraction and parcel-wise cultivated land analysis.

  4. n

    Data from: Digital Shaded-Relief Map of Venezuela

    • cmr.earthdata.nasa.gov
    • access.earthdata.nasa.gov
    Updated Apr 24, 2017
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    (2017). Digital Shaded-Relief Map of Venezuela [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231554134-CEOS_EXTRA.html
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    Dataset updated
    Apr 24, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    The Digital Shaded-Relief Map of Venezuela is a composite of more than 20 tiles of 90 meter (3 arc second) pixel resolution elevation data, captured during the Shuttle Radar Topography Mission (SRTM) in February 2000. The SRTM, a joint project between the National Geospatial-Intelligence Agency (NGA) and the National Aeronautics and Space Administration (NASA), provides the most accurate and comprehensive international digital elevation dataset ever assembled. The 10-day flight mission aboard the U.S. Space Shuttle Endeavour obtained elevation data for about 80% of the world's landmass at 3-5 meter pixel resolution through the use of synthetic aperture radar (SAR) technology. SAR is desirable because it acquires data along continuous swaths, maintaining data consistency across large areas, independent of cloud cover. Swaths were captured at an altitude of 230 km, and are approximately 225 km wide with varying lengths.

    Rendering of the shaded-relief image required editing of the raw elevation data to remove numerous holes and anomalously high and low values inherent in the dataset. Customized ArcInfo Arc Macro Language (AML) scripts were written to interpolate areas of null values and generalize irregular elevation spikes and wells. Coastlines and major water bodies used as a clipping mask were extracted from 1:500,000-scale geologic maps of Venezuela (Bellizzia and others, 1976). The shaded-relief image was rendered with an illumination azimuth of 315� and an altitude of 65�. A vertical exaggeration of 2X was applied to the image to enhance land-surface features. Image post-processing techniques were accomplished using conventional desktop imaging software.

    [Summary provided by the USGS.]

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Chicago Metropolitan Agency for Planning (2016). 2010 Land Use Inventory for Northeastern Illinois [Dataset]. https://datahub.cmap.illinois.gov/datasets/2010-land-use-inventory-for-northeastern-illinois
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2010 Land Use Inventory for Northeastern Illinois

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 13, 2016
Dataset provided by
Chicago Metropolitan Agency For Planning
Authors
Chicago Metropolitan Agency for Planning
Area covered
Description

This file is a digital geospatial Environmental Systems Research Institute (ESRI) ArcGIS File Geodatabase Polygon Feature Class representing land use in the seven northeastern Illinois counties (Cook, DuPage, Kane, Kendall, Lake, McHenry and Will). Land use is identified to 60 categories, and was created using county parcel GIS boundaries and Assessor data, along with color orthorectificed aerial photography captured in April, 2010. Land uses were assigned to parcels using a combination of automated and manual techniques, using a variety of reference data sets for land use identification and validation. Parcels were then dissolved on common land uses (to the limits of PLS sections or assessor blocks); polygons were generated for “non-parcel” (water, right-of-way) areas and classified using automated processes, and extnesive topological cleaning was necessary to minimize gap/overlap issues.In addition to this metadata record, additional information can be found in the following documents:2010 Land Use Inventory Classification Scheme2010 Land Use Inventory Geodatabase Schema2010 Land Use Inventory MetadataLANDUSE lookup .csv table to support shapefile downloadsProcess Narrative: Creating the 2010 Land Use Inventory for Northeastern IllinoisProcess Narrative Addendum: Creating Version 2.0Comparison Guide: Differences between the 2010 and 2005 Land Use InventoriesNOTE: Land use polygons are based on county parcel boundaries; special care must be exercised when comparing these data to earlier (2005, 2001, 1990) Inventories, which relied on manual drafting of land use boundaries that would extend to road centerlines. Additionally, the classification scheme was rewritten to accommodate the parcel approach; see the "comparison guide" link above for inter-inventory analysis guidance.

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