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

An official index map of tax maps by municipality for the County of Berks Assessment Department.

Publication Date: April 2025 2024 Parcel Data. Updated annually, or as needed. The data can be downloaded here: https://gis.ny.gov/parcels#data-download. This feature service has two layers: 1) NYS Tax Parcels Public, and 2) NYS Tax Parcels Public Footprint which contains polygons representing counties for which tax parcel polygons are available in the NYS Tax Parcels Public layer. County footprint polygons display when zoomed out beyond 1:37,050-scale. Tax parcel polygons display when zoomed in below 1:37,051-scale. The NYS Tax Parcels Public layer contains 2024 parcel data only for NY State counties which gave NYS ITS Geospatial Services permission to share this data with the public. Work to obtain parcel data from additional counties, as well as permission to share the data, is ongoing. To date, 36 counties have provided Geospatial Services permission to share their parcel data with the public. Parcel data for counties which do not allow Geospatial Services to redistribute their data must be obtained directly from those counties. Geospatial Services' goal is to eventually include parcel data for all counties in New York State. Parcel geometry was incorporated as received from County Real Property Departments. No attempt was made to edge-match parcels along adjacent counties. County attribute values were populated using 2024 Assessment Roll tabular data the NYS ITS Geospatial Services obtained from the NYS Department of Tax and Finance’s Office of Real Property Tax Services (ORPTS). Tabular assessment data was joined to the county provided parcel geometry using the SWIS & SBL or SWIS & PRINT KEY unique identifier for each parcel. Detailed information about assessment attributes can be found in the ORPTS Assessor’s Manuals available here: https://www.tax.ny.gov/research/property/assess/manuals/assersmanual.htm. New York City data comes from NYC MapPluto which can be found here: https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page. Thanks to the following counties that specifically authorized Geospatial Services to share their GIS tax parcel data with the public: Albany, Cayuga, Chautauqua, Cortland, Erie, Genesee, Greene, Hamilton, Lewis, Livingston, Montgomery, NYC- Bronx, NYC- Kings (Brooklyn), NYC- New York (Manhattan), NYC- Queens, NYC- Richmond (Staten Island), Oneida, Onondaga, Ontario, Orange, Oswego, Otsego, Putnam, Rensselaer, Rockland, Schuyler, St Lawrence, Steuben, Suffolk, Sullivan, Tioga, Tompkins, Ulster, Warren, Wayne, and Westchester. Geometry accuracy varies by contributing county. This map service is available to the public. The State of New York, acting through the New York State Office of Information Technology Services, makes no representations or warranties, express or implied, with respect to the use of or reliance on the Data provided. The User accepts the Data provided “as is” with no guarantees that it is error free, complete, accurate, current or fit for any particular purpose and assumes all risks associated with its use. The State disclaims any responsibility or legal liability to Users for damages of any kind, relating to the providing of the Data or the use of it. Users should be aware that temporal changes may have occurred since this Data was created.

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

Download .zipThis theme shows detailed watersheds for Lawrence County, as digitized in vector mode from mylar copies of maps maintained by the U.S. Geological Survey, Water Resources Division.

Original coverage data was converted from the .e00 file to a more standard ESRI shapefile(s) in November 2014.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesReal Estate & Land ManagementReal Estate and Lands Management2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6462Email: gis.support@dnr.ohio.gov

1865 ST LAWRENCE COUNTY NY ATLAS MAP POTSDAM OGDENSBURG CANTON 1976 REPRINT - Sold on eBay Jan 14, 2022 for $49.99 - Historical sales data for collectible reference.

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This dataset consists of a map depicting the landcover of the Natchez Trace Parkway. The mapping output was created using mosaiced color infrared aerial photography of the Parkway. The map shows the distribution of 18 landcover classes based on the National Vegetation Classification Standard. Ground-based vegetation classification was provided by the National Park Service (NPS). The mapping output delineates grasses, road-developed areas, scrub-shrub, shrubland, plantation, water bodies, areas of white oak, oak, pine-oak, pine-cedar, pine-sweetgum, sweetgum (including sweetgum-oak), scattered trees, swamp forest, irregular classes, aquatic vegetation, invasive species, canopy gaps, and clouds.

Total mapped area includes a 100 m buffer outside the park boundary. 235 digital orthophoto quarter quadrangles (DOQQs) were required to cover the entire 715 km long Parkway. For ease of use, the DOQQs were grouped into 11 mosaics, each covering a section of the Parkway. At the request of the NPS, each mosaic was divided into ten tiles to allow for efficient loading on less robust computers.

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A map of municipal emergency services zones/ESZs created for use by the County of Berks Department of Emergency Services and other County emergency response agencies.

The main purpose of the Conservation Atlas of Wetlands is to develop a portrait of the wetlands of the St. Lawrence Valley using innovative mapping methods in order to favor bird conservation by helping land managers to make decisions about land use and bird habitat conservation. Another objective was to develop methods needed to allow a monitoring of the St. Lawrence Valley wetlands and make a link to a potential national mapping project of that type as an indicator on environment quality in Canada. The Atlas is considered a large-scale project because of the area covered, the great variability in the area’s characteristics and the various types of wetlands encountered. Using Canadian RADARSAT satellite images, along with other sources of information available (e.g., digital hydrological and hypsometric data) and data from Landsat-TM images, the mapping has required certain adjustments and the use of innovative methods. Achieving the objectives set at the start of the project in the spring of 1999 has resulted in the following products: - A global mosaic of the distribution of wetlands in southern Québec - A 1:50 000 scale map showing the location of wetlands in each of the area’s regional county municipalities (RCMs) - Descriptive statistics on wetlands' characteristics (number, category, average area, etc.) to complement the maps, - Information and links to to sites that promote wetland conservation. In the last few years, the Canadian Wildlife Service of Environment Canada has been carrying out a project to map natural habitats using Landsat-TM imagery. This mapping has been used to apply methods for analysing landscape features in a large area of southern Québec in order to ensure adequate habitat protection and development. As a follow-up to the project, the CWS decided to produce an Atlas of wetlands in the St. Lawrence Valley. The CWS’s work has shown that multispectral imagery does not provide all the information needed to differentiate between some wetlands. For example, forested wetlands and flooded forests can be confused with other forested areas. To increase the accuracy of wetland identification, it was decided that radar imagery should be incorporated into the project. Research carried out in Canada and abroad is attempting to show that this imagery, when acquired at the right time, can help to differentiate wetlands and map agricultural land and grasslands. Mapping and appropriate wetland monitoring require remote sensing tools that are independent of cloud cover and sensitive to soil humidity. Equipped with SAR (Synthetic Aperture Radar) captors capable of providing high-resolution images unaffected by daytime and nighttime weather conditions, the Canadian RADARSAT satellite is able to map the exact boundaries of wetlands. Phase I: image acquisition Image acquisition took place between April 27, 1999 and June 11, 1999. The Data Acquisition Division of the Canada Centre for Remote Sensing established an acquisition plan based on various criteria, i.e., image acquisition had to take place in the ascending mode to eliminate the dew effect, it had to be carried out in a short time period (after flooding but before the dry spells of summer) and it had to offer the possibility of producing a mosaic for a large portion of the territory. Thirty-four images were finally acquired, 28 in fine mode and 6 in standard mode. Following this acquisition, a partnership agreement between Environment Canada, the Canadian Space Agency and the Geography Department of the University of Montréal was signed. In the project’s first phase, Landsat-TM images were used to mask certain soil types, which resulted in the production of a mosaic of RADARSAT images of southern Québec and preliminary image classification results. Although the product was generally satisfactory, it was felt that the mosaic image and the classified RADARSAT images could be improved. Phase II: a classification method development The CWS thus developed a new classification method that combines several formats of RADARSAT images (texture, homogeneity and contrast indices) with the decorrelated Landsat-TM image and a digital elevation model. Several hundreds ground control points were used as basic information to guide tree analysis. The preliminary results at test sites proved the method’s efficiency for these types of images. The wetlands of 68 RCMs in the St. Lawrence Valley could thus be classified. Phase III: final validation of maps Another phase of our work was the final validation of the Atlas maps. This was made possible through extensive consultation with Quebec wetlands experts (see the list of financial and technical partners in the Acknowledgements section). In all, over 60 hours of consultation took place with more than 30 experts in the various regions of Southern Québec. This final phase of the mapping project was dubbed “Operation Open House.” A complete series of 1:50 000 scale maps, drawn up according to the boundaries of the topographical maps (UTM co-ordinates), was printed out so that the various experts could examine them and, if necessary, signal any errors and plot the required corrections. It should be noted that there are two possible sources of discrepancies. Errors may have occurred during the image classification process, or may be a result of changes to wetlands since the two series of satellite images used for this project were taken (1993-1994 and 1999). We have assigned a specific code in the map legend for areas where such changes have occurred so that, until a second map is produced in the coming years, the reader can get an idea of the dynamics of these habitats and the major areas of change (disappearance or degradation of wetlands) resulting from various human activities. Phase IV: towards interactivity A fourth phase now allows to produce a map for the sector of their choice through the interactive mapping procedure and improve the database by adding supplementary information. Citation Bélanger, L., M. Grenier, 2003. Atlas de conservation des terres humides. Environnement Canada, Service canadien de la faune, région du Québec

Map includes streets labeled over thematically displayed precincts. Map shows overlap with surrounding precincts and townships in pdf and zipped format.

Zoning Ordinances were amended numerous times. Amendments were added to the 1922 City Zoning Ordinance, the 1948 County Zoning Ordinance, and the combined City-County Zoning Ordinances (Uni-gov).

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'This raster dataset consists of 8-bit, 4-band (R, G, B, NIR) color orthoimagery. A digital orthoimage is a raster image processed from vertical aerial images in which displacement in the image due to sensor orientation and terrain relief have been removed. Orthoimagery combines the image characteristics of an image with the geometric qualities of a map. Unlike planimetric maps which depict natural and manmade features by means of lines, point symbols, texts and polygons, orthoimagery illustrate the actual images of features and are thus more easily interpreted than regular maps. The normal orientation of data in an orthoimage is by lines (rows) and samples (columns). Each line contains a series of pixels ordered from west to east with the order of the lines from north to south. Each image tile is stored in industry standard .TIFF (tagged interchange file format) with an associated true world header file. Aerial imagery was acquired on February 16th and 19th, 2013 from flying heights of approximately 7,500 feet above mean terrain. Each orthoimage tile is 5,000 feet X 5,000 feet in dimension, edge-tied with the adjacent tiles (no gap and no overlap). This dataset is published in NAD_1983_NSRS2007_StatePlane_Mississippi_West_FIPS_2302_Feet with units in feet.'An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Mississippi_West_FIPS_2302_Feet Resolution: 6 inch Type: 4 Band to: Standard Product Projection: NAD_1983_UTM_Zone_15N Standard Product Resolution: 0.1500 m Rows: 10000 Columns: 10000 and resampled to align to the U.S. National Grid (USNG) using The National Map. The naming convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Chip-level metadata are provided in HTML and XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The file format created was .jp2.