Parcel boundary from Kent County GIS Data Library, available at https://www.accesskent.com/GISLibrary/.This data is used in the North Kent Disposal Area PFAS web map. If you have questions regarding the North Kent Disposal Area site contact Karen Vorce at 616-439-8008 or vorcek@michigan.gov.

Property Gateway is a leading-edge Internet tool built to provide free and fee-based online access to Oakland County's land and property information including tax parcel reports and maps. Reports and maps can be purchased via a credit card transaction; recurring users request a business account. Visit Property Gateway, HERE.

Oakland County's public-facing parcel viewer. Oakland County staff and CVTs can request free accounts by contacting the Oakland County Service Center (servicecenter@oakgov.com, 248-858-8812). More information about the products available in Property Gateway can be found here: https://www.oakgov.com/propertygateway/Pages/default.aspx.

This file identifies likely public ownership based on several categorizations. These include the City of Detroit, the Detroit Land Bank Authority, the Michigan Land Bank Fast Track Authority, the State of Michigan, Wayne County, the United States Government, the Detroit Water and Sewerage Department, and Detroit Public Schools. The ownership information generally dates from 2013 to early 2014; see the field description metadata for further information.DISCLAIMER: This file seeks to identify parcels that are owned by a governmental or other public entity. However, ownership of properties changes frequently, particularly between public entities, and the data sources that this file is built from date from 2013 through the spring of 2014. Since there has been considerable time for the ownership of some of these properties to change, D3 is producing this file as an indicator of Likely Public Ownership.This file is intended to help highlight the breadth and scale of public ownership in the City of Detroit, and any decisions based off of this file should be confirmed through investigating legal ownership records.Metadata associated with this file includes field description metadata and a narrative summary detailing the creation of the dataset.For more information on the Motor City Mapping project, please visit www.motorcitymapping.org.

This dataset provides a land cover map focused on peatland ecosystems in the upper peninsula of Michigan. The map was produced at 12.5-m resolution using a multi-sensor fusion (optical and L-band SAR) approach with imagery from Landsat-5 TM and ALOS PALSAR collected between 2007 and 2011. A random forest classifier trained with polygons delineated from field data and aerial photography was used to determine pixel classes. Accuracy assessment based on field-sampled sites show high overall map accuracy (92%).

description: This map was produced by the Division of Realty to depict landownership at Michigan Islands National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.; abstract: This map was produced by the Division of Realty to depict landownership at Michigan Islands National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.

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/ .

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 2018. 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.

Download In State Plane Projection Here. This is our working version of the Lake County boundary. Although technically the county's eastern border extends eastward into Lake Michigan to the state line where Illinois meets Michigan, we routinely use the Lake Michigan shoreline as our eastern boundary for mapping purposes. The north, west and south boundaries are based on a compilation of survey data which aligns well, but not perfectly, with the border as mapped by neighboring counties and the State of Wisconsin, which forms the northern boundary of the county. Update Frequency: This dataset is updated on a weekly basis.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

This list of full-line grocery stores was ground-truthed between June - December 2013 as part of the Detroit Food Map project surveying nutritional access in Detroit's grocery stores. These 77 full-line grocery stores were checked against a list from the Detroit Economic Growth Corporation (DEGC). The definition of a full-line grocery store is one that sells a line of dry groceries, canned goods, or nonfood items as well as perishable items such as fresh produce, meat, and dairy products. Source: http://detroitfoodmap.com .

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 2016. 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.

This data set provides a land use/land cover map of the Ji-Parana River Basin in the state of Rondonia, Brazil produced from the digital classification of eight Landsat 7-ETM+ scenes from 1999 acquired from the Tropical Rain Forest Information Center (TRFIC) at Michigan State University. Nine land cover classes covering the Ji-Parana Basin were identified. There is one GeoTiff file with this data set.

The map is for providing a visual, geographic relationship to Land Corner Records collected by the department, both through design survey activities and monument preservation activities. It is made available to act as a repository and access point for these records.This dataset is comprised of records collected from MDOT’s project files during the course of a project. Corner certificates are not available for all corners. Surveyors completing research on PLSS records should use this to supplement research conducted at the local county register of deeds office.

BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE. A spatial representation of Tax Parcels. Key attributes include KeyPIN. The KeyPIN is the unique parcel identification number used to link the tax parcel to the parcel attributes which are stored and maintained in Oakland County land records.There is no definite accuracy related to parcel boundaries. The information shown on these maps is for representation purposes only and is not intended to be a legally recorded map or survey. The information was compiled from a number of sources including recorded deeds, plats, tax maps surveys and other public records and data. Users of this data should consult the information sources listed above for verification of the information.

The NEZ-NR Districts dataset contains the Neighborhood Enterprise Zones district boundaries applicable to New and Rehabilitated facility projects. NEZ-NR districts are the original NEZ districts. NEZ is a tax abatement program intended to stimulate investment in designated areas of the city. NEZ-NR differs from NEZ-Homestead in that NEZ-NR covers new facilities and/or rehabilitated facility projects. In contrast, the NEZ-H program covers pre-existing residential property inhabited by owner-occupants only. NEZ-NR and NEZ-Homestead programs are administered jointly by the City of Detroit and the State of Michigan under Michigan's Neighborhood Enterprise Zone (NEZ) Act, PA 147 of 1992 as amended.

A record of district and dataset modifications from 1992-2017 is noted in the NEZ-NR District Boundary Update document available from the NEZ NR Changelog.

This dataset comes from the Department of Licensing and Regulatory Affairs' Office of Land Survey and Remonumentation (OLSR). See Act 345 of 1990: State Survey and Remonumentation Act for more information.The system of record was queried for approved locations where grid coordinates were provided. Records with coordinates outside the state's geographical boundary were retained (34 locations). The columns "DMS LAT" and "DMS LONG" were added to the extraction table and populated with data from fields "Latitude N" and "Longitude W" and formatted to DMS2. The data was exported as feature class using geoprocessing tool "Convert Coordinate Notation," geographic coordinate system WGS 1984 Web Mercator (auxiliary sphere).This dataset was last updated June 6, 2022, with quarterly updates to begin in 2023.More Metadata