Part of a set of digitized microfilm of manuscript maps of Iowa townships. Individual maps in the set may include: Native American villages and fields; the first farmsteads, town sites and fields established by settlers; networks of trails; distribution of rivers, woods, prairies, wetlands and springs; and survey data such as creator, date created, and date accepted.

This dataset represents deer and elk Winter Range Areas. Key winter range habitat areas, as well as transition ranges, for deer and elk herds are composed of diverse, forage vegetation and a protective, insulating forest cover. Land development and land uses adversely affect these wildlife species when these integral habitats are lost. Lands within these areas are subject to specific development standards under the Jackson County Land Development Ordinance.

Download .zipThe C, D Law Coal Permit Maps county coverage sets were developed using the original mine maps for over 2500 coal mining and reclamation permits issued under Ohio law and finalized (i.e. operations completed) between 1975 and December 2002.

Ohio started issuing coal mining licenses in the 1940s. The earliest license and permit requirements were minimal and did not include submittal of a map or other delineation of the mined area. Significant changes to legal requirements are reflected by the alphabetical designation of each subsequent law revision, i.e., earlier A-law permits (circa 1966) through contemporary D-law permits. The ODNR-Division of Mineral Resources Management (DMRM) has attempted to create as complete a database as possible from available archive records, however, research has identified missing permit files. Thus, this GIS data is known to be incomplete due to the loss of archival records.

The C and D law permit maps were scanned at a density of 200 dots per inch (dpi). The scanned image was then heads-up digitized using Microstation computer aided design software (CAD) to create design files grouped by county location. Data captured within the design file includes permit boundary, affected boundary, test hole locations, and associated attributes. The design file was then "placed-to-ground" using ODNR Division of Geological Survey's "ODNR Land Sub-division Background Design Files" NAD83 State Plane coverages and DOQQ aerial images obtained through the Ohio Geographically Referenced Information Program (OGRIP)/Ohio Department of Administrative Services. The design file was then converted to ARC/INFO coverage and projected to State Plane Ohio Coordinates, NAD83:

Projected coordinate system name: NAD_1983_StatePlane_Ohio_South_FIPS_3402_Feet

Geographic coordinate system name: GCS_North_American_1983

A complete county coverage set consists of five data files for the permit area, affected area, and test hole locations. For example, the coverage for Athens County includes:

athens_c_permitted (Athens County, C-permit area polygons) athens_c_affected (Athens County, C-permit affected area polygons) athens_d_permitted (Athens County, D- permit area polygons) athens_d_affected (Athens County, D-permit affected area polygons) athens_testholes (Athens County, Test Hole points)

In addition to the ArcView shape files in the county data sets, the scanned TIF images for source documents are available at DMRM. The scanned mine map depicts information about the operations conducted, environmental resources, and extracted coal resources. If more detailed information is desired, the available archival record for each captured permit can be accessed at either the State Archives at the Ohio Historical Society or the ODNR-DMRM central office.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Mineral Resources ManagementAbandoned Mine Land Program2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

Shorelines Extracted from 1984-2015 Landsat Imagery: Horn Island, Mississippi (Polygon: Combined Dates) is a polygon shapefile representing shorelines generated from satellite imagery that was collected from 1984 to 2015. The sample frequency of satellite imagery is much higher, and the coverage much greater, than most routine high-resolution topographic surveys. Certain aspects of barrier island morphology, such as island size, shape and position, can be determined from these images and can indicate erosion, land loss, and island breakup. Studying how these characteristics evolve will help develop an understanding of how barrier islands will respond to climate change, sea level rise, and major storms in the future and that will serve to improve management of coastal resources.

Download .zipThe B Law Coal Permit Maps county coverage sets were developed using the original mine maps for coal mining and reclamation permits issued under Ohio law from 1973 through 1976. Approximately 1285 B-Permits were issued during this time period, however, only approximately 414 records could be located and captured at this time. The Division of Mineral Resources Management will continue to search for missing B permit archival records as resources allow; additional B permit data may be added to this existing coverage in the future.

Ohio started issuing coal mining licenses in the 1940s. The earliest license and permit requirements were minimal and sometimes did not include submittal of a map or other delineation of the mined area. Significant changes to legal requirements are reflected by the alphabetical designation of each subsequent law revision, i.e., earlier A-law permits (circa 1966) through contemporary D-law permits. The ODNR-Division of Mineral Resources Management (DMRM) has attempted to create as complete a database as possible from available archive records, however, research has identified missing permit files. Thus, this GIS data is known to be incomplete due to the loss of archival records.

The B law permit maps were scanned at a density of 200 dots per inch (dpi). The scanned image was then heads-up digitized using Microstation computer aided design software (CAD) to create design files grouped by county location. Data captured within the design file includes permit boundary, affected boundary, test hole locations, and associated attributes. The design file was then "placed-to-ground" using ODNR Division of Geological Survey's "ODNR Land Subdivision Background Design Files" NAD83 State Plane coverages and DOQQ aerial images obtained through the Ohio Geographically Referenced Information Program (OGRIP)/Ohio Department of Administrative Services. The design file was then converted to ARC/INFO coverage and projected to State Plane Ohio Coordinates, NAD83:

Projected coordinate system name: NAD_1983_StatePlane_Ohio_South_FIPS_3402_Feet

Geographic coordinate system name: GCS_North_American_1983

A complete county coverage set consists of three data files for the permit area, affected area, and test hole locations. For example, the coverage for Belmont County includes:

belmont_b_permitted (Belmont County, B-permit area polygons) belmont_b _affected (Belmont County, B-permit affected area polygons) belmont_testholes_b (Belmont County, Test Hole points)

In addition to the ArcView shape files in the county data sets, the scanned TIF images for source documents are available at DMRM. The scanned mine map depicts information about the operations conducted, environmental resources, and extracted coal resources. If more detailed information is desired, the available archival record for each captured permit can be accessed at either the State Archives at the Ohio Historical Society or the ODNR-DMRM central office.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Mineral Resources ManagementAbandoned Mine Land Program2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

The Florida Department of Revenue’s Property Tax Oversight(PTO) program collects parcel level Geographic Information System (GIS) data files every April from all of Florida’s 67 county property appraisers’ offices. This GIS data was exported from these file submissions in August 2024. The GIS parcel polygon features have been joined with thereal property roll (Name – Address – Legal, or NAL)file. No line work was adjusted between county boundaries.The polygon data set represents the information property appraisers gathered from the legal description on deeds, lot layout of recorded plats, declaration of condominium documents, recorded and unrecorded surveys.Individual parcel data is updated continually by each county property appraiser as needed. The GIS linework and related attributions for the statewide parcel map are updated annually by the Department every August. The dataset extends countywide and is attribute by Federal Information Processing Standards (FIPS) code.DOR reference with FIPS county codes and attribution definitions - https://fgio.maps.arcgis.com/home/item.html?id=ff7b985e139c4c7ba844500053e8e185If you discover the inadvertent release of a confidential record exempt from disclosure pursuant to Chapter 119, Florida Statutes, public records laws, immediately notify the Department of Revenue at 850-717-6570 and your local Florida Property Appraisers’ Office.Please contact the county property appraiser with any parcel specific questions: Florida Property Appraisers’ Offices:Alachua County Property Appraiser – https://www.acpafl.org/Baker County Property Appraiser – https://www.bakerpa.com/Bay County Property Appraiser – https://baypa.net/Bradford County Property Appraiser – https://www.bradfordappraiser.com/Brevard County Property Appraiser – https://www.bcpao.us/Broward County Property Appraiser – https://bcpa.net/Calhoun County Property Appraiser – https://calhounpa.net/Charlotte County Property Appraiser – https://www.ccappraiser.com/Citrus County Property Appraiser – https://www.citruspa.org/Clay County Property Appraiser – https://ccpao.com/Collier County Property Appraiser – https://www.collierappraiser.com/Columbia County Property Appraiser – https://columbia.floridapa.com/DeSoto County Property Appraiser – https://www.desotopa.com/Dixie County Property Appraiser – https://www.qpublic.net/fl/dixie/Duval County Property Appraiser – https://www.coj.net/departments/property-appraiser.aspxEscambia County Property Appraiser – https://www.escpa.org/Flagler County Property Appraiser – https://flaglerpa.com/Franklin County Property Appraiser – https://franklincountypa.net/Gadsden County Property Appraiser – https://gadsdenpa.com/Gilchrist County Property Appraiser – https://www.qpublic.net/fl/gilchrist/Glades County Property Appraiser – https://qpublic.net/fl/glades/Gulf County Property Appraiser – https://gulfpa.com/Hamilton County Property Appraiser – https://hamiltonpa.com/Hardee County Property Appraiser – https://hardeepa.com/Hendry County Property Appraiser – https://hendryprop.com/Hernando County Property Appraiser – https://www.hernandopa-fl.us/PAWEBSITE/Default.aspxHighlands County Property Appraiser – https://www.hcpao.org/Hillsborough County Property Appraiser – https://www.hcpafl.org/Holmes County Property Appraiser – https://www.qpublic.net/fl/holmes/Indian River County Property Appraiser – https://www.ircpa.org/Jackson County Property Appraiser – https://www.qpublic.net/fl/jackson/Jefferson County Property Appraiser – https://jeffersonpa.net/Lafayette County Property Appraiser – https://www.lafayettepa.com/Lake County Property Appraiser – https://www.lakecopropappr.com/Lee County Property Appraiser – https://www.leepa.org/Leon County Property Appraiser – https://www.leonpa.gov/Levy County Property Appraiser – https://www.qpublic.net/fl/levy/Liberty County Property Appraiser – https://libertypa.org/Madison County Property Appraiser – https://madisonpa.com/Manatee County Property Appraiser – https://www.manateepao.gov/Marion County Property Appraiser – https://www.pa.marion.fl.us/Martin County Property Appraiser – https://www.pa.martin.fl.us/Miami-Dade County Property Appraiser – https://www.miamidade.gov/pa/Monroe County Property Appraiser – https://mcpafl.org/Nassau County Property Appraiser – https://www.nassauflpa.com/Okaloosa County Property Appraiser – https://okaloosapa.com/Okeechobee County Property Appraiser – https://www.okeechobeepa.com/Orange County Property Appraiser – https://ocpaweb.ocpafl.org/Osceola County Property Appraiser – https://www.property-appraiser.org/Palm Beach County Property Appraiser – https://www.pbcgov.org/papa/index.htmPasco County Property Appraiser – https://pascopa.com/Pinellas County Property Appraiser – https://www.pcpao.org/Polk County Property Appraiser – https://www.polkpa.org/Putnam County Property Appraiser – https://pa.putnam-fl.com/Santa Rosa County Property Appraiser – https://srcpa.gov/Sarasota County Property Appraiser – https://www.sc-pa.com/Seminole County Property Appraiser – https://www.scpafl.org/St. Johns County Property Appraiser – https://www.sjcpa.gov/St. Lucie County Property Appraiser – https://www.paslc.gov/Sumter County Property Appraiser – https://www.sumterpa.com/Suwannee County Property Appraiser – https://suwannee.floridapa.com/Taylor County Property Appraiser – https://qpublic.net/fl/taylor/Union County Property Appraiser – https://union.floridapa.com/Volusia County Property Appraiser – https://vcpa.vcgov.org/Wakulla County Property Appraiser – https://mywakullapa.com/Walton County Property Appraiser – https://waltonpa.com/Washington County Property Appraiser – https://www.qpublic.net/fl/washington/Florida Department of Revenue Property Tax Oversight https://floridarevenue.com/property/Pages/Home.aspx

Shorelines Extracted from 1984-2015 Landsat Imagery: Petit Bois Island, Mississippi (Polyline: Individual Dates) is a line shapefile representing shorelines generated from satellite imagery that was collected from 1984 to 2015. The sample frequency of satellite imagery is much higher, and the coverage much greater, than most routine high-resolution topographic surveys. Certain aspects of barrier island morphology, such as island size, shape and position, can be determined from these images and can indicate erosion, land loss, and island breakup. Studying how these characteristics evolve will help develop an understanding of how barrier islands will respond to climate change, sea level rise, and major storms in the future and that will serve to improve management of our coastal resources.

This service is intended to work with the Medford Land Information (MLI) mapping application. It includes a tax lots layer for the City of Medford covering the same extent as the TRAKiT database and site address points for Jackson County.

A feature service is also available here: https://gis.ducks.org/datasets/duinc::minnesota-restorable-wetlandsHISTORY: In October 2000, a Restorable Wetlands Working Group formed to begin mapping all of the restorable wetlands in the glaciated tallgrass Prairie Pothole Region of Minnesota and Iowa. Today, fewer than 10% of the original wetlands - once of unparalleled importance to continental waterbird populations - are left in existence. Fortunately, wetlands once drained for agriculture may be restored to many of their historic functions. Restoration of multiple wetland functions is of utmost effectiveness when focused at priority restoration landscapes, therefore data on the historic distribution of wetlands is an integral part of developing strategic regional habitat restoration plans.Opportunistic wetland restorations often fail to attain out expectations for wetland function. Nevertheless, between $70 - $100,000,000 are spent annually in Minnesota for wetland restoration. A strategic plan for wetland restoration can make these expenditures more effective; however, a strategic wetland restoration plan requires a priori information on the distribution and extent of restorable wetlands. The collective goal of the Restorable Wetlands Working Group is the eventual development of a set of multi-agency decision support tools that collectively comprise a comprehensive environmental management plan for wetlands - all based on the same base data layers and developed in joint consultation. An effort is underway to delineate restorable wetlands in all intensively farmed areas of MN and IA.A pilot project determined the best technique to map drained wetlands in agricultural landscapes was photointerpretation. This pilot project evaluated the accuracy of three potential delineation techniques: digital hydric soils databases, digital elevation models, and manual stereoscopic photointerpretation on high-altitude color infrared aerial photographs. The project covered nearly 4,000 square miles of different land forms and wetland characteristics. After mapping was completed, some 1,500 drained wetlands were observed in the field to assess the accuracy of each technique. Only photointerpretation provided reliable results.One area that fell into the pilot study was the Okabena quadrangle in east-central Jackson County in Minnesota. Okabena vividly illustrates the potential of humans to alter the natural landscape. While Okabena historically encompassed more than 8,940 acres of depressional wetland - 27% of the total area of Okabena - after nearly 100 years of agricultural drainage only 1,280 acres of those original wetlands remain, representing an 86% reduction. When empirical models used to estimate duck pairs on individual wetlands are applied to the change from historic to current wetland habitat within Okabena, they estimate a 92% reduction in the habitat potential for common dabbling duck species.The Okabena quadrangle's wetland density once exceeded that of most of the remaining U.S. Prairie Pothole Region. Without strong incentives for wetland conservation and effective methods to delineate high-priority landscapes for restoration, the Okabena quadrangle foretells one possible future for much of the mixed-grass Prairie Pothole Region further west.The Final Status map was completed in 2012.Contact Information:Rex JohnsonUnited States Fish and Wildlife Service21932 State Highway 210Fergus Falls, MN 56537(218) 736-0606rex_johnson@fws.govPhotointerpretationNational Aerial Photography Program (NAPP) (1:40,000 scale) color infrared (CIR) photographs acquired in April and May, 1991 and 1992, were viewed in stereo pairs at 5X magnification using a Cartographic Engineering stereoscope. A Mylar overlay was mounted on one photo of each stereo pair and a rectangular work area was delineated on the overlay comprising one-quarter of a USGS 7.5 min topographic quadrangle. A minimum of 4 fiduciary marks were placed on the overlay to enable geographic rectification of digital data covering the work area. One fiduciary mark was placed at the corner of the US Geological Survey (USGS) 7.5 min quadrangle and others at conspicuous road intersections near the other 3 corners of the work area. Drained depressional wetlands were delineated on the Mylar overlay within the work area using a 6X0 (.13 mm diameter) rapidograph pen and indelible ink. Collateral data was consulted during the delineation process. These data consisted of published county soil surveys and descriptions of hydric soils, USDA Farm Service Agency compliance slides (aerial 35 mm slides) acquired in 1993 (immediately after a period of intense precipitation), USGS 7.5 min topographic maps, and National Wetlands Inventory (NWI) maps. Black and white NAPP photographs (1:40,000 scale) acquired primarily in August and September, 1996, were reviewed and rejected as collateral data because they were acquired under dry conditions.Other specific photointerpretation protocols were:1. All drained depressional wetlands, regardless of size, were delineated.2. NWI-delineated wetlands with a Ad@ (partially drained) modifier in the classification code were not delineated unless the original delineation failed to encompass the complete historic wetland area.3. NWI-delineated wetlands that did not contain a Ad@ modifier in the classification code were delineated if the original delineation did not include the entire historic wetland area.4. Wetlands identified on NWI maps which did not exhibit wetland characteristics (i.e. hydrology, hydrophytes, etc) on new (1992) CIR photography were delineated even if no evidence of drainage was apparent.5. Wetlands not delineated on NWI maps, and in cropland, were delineated.6. Wetlands not delineated on NWI maps, and in grassland, were not delineated unless evidence of drainage was observed on the aerial photo.7. Wetlands not delineated on NWI maps, and in trees, were not delineated.Tolerances:Scanned line data were converted to a polygon using a 6 m fuzzy tolerance. Open polygons were manually closed and cleaned with a 1.2 m fuzzy tolerance which was used for all subsequent data processing.Datafile Description and Attribute Definitions[County_Name]_nwx - National Wetlands Inventory delineations (see https://www.fws.gov/program/national-wetlands-inventory/wetlands-mapper for NWI delineation standards). Note: Wetland classifications in these data often differ slightly from the original NWI classification. NWI wetland classifications were simplified for these data by removing mixed classes and multiple special modifiers, and by standardizing letter case. In each case of mixed classes and multiple special modifiers, the first class or special modifier was retained.AttributesRestorable - 0 = Islands and the Universal Polygon100 = Restorable depressional wetland delineated using protocols described aboveCounty Name – The name of the county in which the center of the polygon is located.State Name – The name of the state.FIPS – The FIPS code.