Tax Parcel shape files, metadata, and geodatabases by town and city available to download: https://gisdata.ny.gov/GISData/County/Greene/Parcel_Data/Greene_County_Tax_Parcels.zip Database was prepared for assessment administration purposes only. It is not intended for use in the conveyance of land. Absolutely no accuracy or completeness is implied or intended. All the information is subject to such variations and corrections that may result from an accurate instrument survey and or abstract of title Spatial Reference of Source Data: NAD 83 State Plane – New York East.Spatial Reference of Web Service: WGS 1984 Web Mercator Auxiliary Sphere. Data current as of July 2025. Contact Information:Greene County Real Property Tax Service411 Main Street Suite 447Catskill, New York 12414PH: 518-719-3525FAX: 518-719-3791rpts@greenecountyny.gov

UPDATED DAILY: GIS dataset that contains Greene County, Ohio Auditor's parcel data. The frequency of maintenance for parcel data is daily. The parcel data contains all of the fields maintained in the Greene County CAMA system.

Greene CATS is a county public transit system operated by the Greene County Transit Board providing safe, reliable, and accessible public transportation in close coordination with the county’s social service agencies, businesses, and local decision-makers. Funding for Greene CATS Public Transit Services comes from the following sources: Federal Transit Administration, Ohio Department of Transportation, matching grants, passenger fares, and purchased service agreements with Greene County Board of Developmental Disabilities, Greene County Department of Job and Family Services, and other agencies.

Two foot interval contour lines created by CMG Drainage as part of the 2014 Green Valley Basin Management Study. Ground surface was derived from 2008 and 2011 PAG LiDAR. Known Errors/Qualifications: Topo elevations are +- 1 foot accuracy. Spatial Domain: Eastern Pima County Maintenance Format: Shape Primary Source Organization: CMG Drainage Primary Source Date: 20141101 Primary Source Format: DWG Secondary Source Organization: RFCD Secondary Source Contact: Kenneth Maits Secondary Source Format: Shape GIS Contact: Kenneth Maits, Two foot interval contour lines created by CMG Drainage as part of the 2014 Green Valley Basin Management Study. Ground surface was derived from 2008 and 2011 PAG LiDAR. Known Errors/Qualifications: Topo elevations are +- 1 foot accuracy. Spatial Domain: Eastern Pima County Library Input: Shape Std Primary Source Organization: CMG Drainage Primary Source Date: 20141101 Primary Source Format: DWG Secondary Source Organization: RFCD Secondary Source Contact: Kenneth Maits Secondary Source Format: Shape GIS Contact: Kenneth Maits

A green key card identifies the holder (except Non Resident card) as a Suffolk County resident and insures reduced fees for park activities. The green key card is required to access automated/internet golf, camping and marina reservation system.

Location Sold = which park sold green key

Date = date of transaction

Receipt # = receipte # of transaction

Pay Code = method of payment 1-Cash, 14- Visa, 15-MC, 16-Discover

Source of Decription = Type of Green Key Sold

Credit Amt = Amount Paid

A Green Infrastructure map county of Prince William, VA was developed to provide quantification of canopy and associated data for environmental monitoring. Digital aerial imagery, collected for the National Agriculture Imagery (NAIP) program at 1 meter resolution was classified to a Green Infrastructure Level 1 classification scheme with the following classes: 1) Non Woody Vegetation, 2)Woody Vegetation, 3) Impervious, 4) Water and 5) Bare Soil. The image was classified using Classification and Regression Tree techniques (CART analysis) and raster modeling. The classification accuracy assessment gave an overall accuracy of 95.25%This 2012 update is the result of a change detection process which buillt on the original 2008 classification. Changed areas were updated, and several other classification scheme changes were made, such as the reclassification of pools as impervious surfaces.

This 1m Digital Terrain Model (DTM) is derived from bare-ground Light Detection and Ranging (LiDAR) point cloud data from September 2005 for the Green Lakes Valley, near Boulder Colorado. This dataset is better suited for derived layers such as slope angle, aspect, and contours. The DTM was created from LiDAR point cloud tiles subsampled to 1-meter postings, acquired by the National Center for Airborne Laser Mapping (NCALM) project. This data was collected in collaboration between the University of Colorado, Institute of Arctic and Alpine Research (INSTAAR) and NCALM, which is funded by the National Science Foundation (NSF). The DTM has the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. Total area imaged is 35 km^2. The LiDAR point cloud data was acquired with an Optech 1233 Airborne Laser Terrain Mapper (ALTM) and mounted in a twin engine Piper Chieftain (N931SA) with Inertial Measurement Unit (IMU) at a flying height of 600 m. Data from two GPS (Global Positioning System) ground stations were used for aircraft trajectory determination. The continuous DTM surface was created by mosaicing and then kriging 1 km2 LiDAR point cloud LAS-formated tiles using Golden Software's Surfer 8 Kriging algorithm. Horizontal accuracy and vertical accuracy is unknown. The layer is available in GEOTIF format approx. 265 MB of data. It has a UTM zone 13 projection, with a NAD83 horizonal datum and a NAVD88 vertical datum computed using NGS GEOID03 model, with FGDC-compliant metadata. A shaded relief model was also generated. A similar layer, the Digital Surface Model (DSM), is a first-stop elevation layer. A processing report and readme file are included with this data release. The DTM is available through an unrestricted public license. The LiDAR DEMs will be of interest to land managers, scientists, and others for study of topography, ecosystems, and environmental change. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

This 1m Digital Terrain Model (DTM) shaded relief is derived from first-stop Light Detection and Ranging (LiDAR) point cloud data from September 2005 for the Green Lakes Valley, near Boulder Colorado. The DTM shaded relief was created from LiDAR point cloud tiles subsampled to 1-meter postings, acquired by the National Center for Airborne Laser Mapping (NCALM) project. This data was collected in collaboration between the University of Colorado, Institute of Arctic and Alpine Research (INSTAAR) and NCALM, which is funded by the National Science Foundation (NSF). The DTM shaded relief has the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. Total area imaged is 35 km^2. The LiDAR point cloud data was acquired with an Optech 1233 Airborne Laser Terrain Mapper (ALTM) and mounted in a twin engine Piper Chieftain (N931SA) with Inertial Measurement Unit (IMU) at a flying height of 600 m. Data from two GPS (Global Positioning System) ground stations were used for aircraft trajectory determination. The continuous DTM surface was created by mosaicing and then kriging 1 km2 LiDAR point cloud LAS-formated tiles using Golden Software's Surfer 8 Kriging algorithm. Horizontal accuracy and vertical accuracy is unknown. cm RMSE at 1 sigma. The layer is available in GEOTIF format approx. 265 MB of data. It has a UTM zone 13 projection, with a NAD83 horizonal datum and a NAVD88 vertical datum computed using NGS GEOID03 model, with FGDC-compliant metadata. This shaded relief model was also generated. A similar layer, the Digital Surface Model (DSM), is a first-stop elevation layer. A processing report and readme file are included with this data release. The DTM dataset is available through an unrestricted public license. The LiDAR DEMs will be of interest to land managers, scientists, and others for study of topography, ecosystems, and environmental change. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

This 1m Digital Surface Model (DSM) is derived from first-stop Light Detection and Ranging (LiDAR) point cloud data from September 2005 for the Green Lakes Valley, near Boulder Colorado. The DSM was created from LiDAR point cloud tiles subsampled to 1-meter postings, acquired by the National Center for Airborne Laser Mapping (NCALM) project. This data was collected in collaboration between the University of Colorado, Institute of Arctic and Alpine Research (INSTAAR) and NCALM, which is funded by the National Science Foundation (NSF). The DSM has the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. Total area imaged is 35 km^2. The LiDAR point cloud data was acquired with an Optech 1233 Airborne Laser Terrain Mapper (ALTM) and mounted in a twin engine Piper Chieftain (N931SA) with Inertial Measurement Unit (IMU) at a flying height of 600 m. Data from two GPS (Global Positioning System) ground stations were used for aircraft trajectory determination. The continuous DSM surface was created by mosaicing and then kriging 1 km2 LiDAR point cloud LAS-formated tiles using Golden Software's Surfer 8 Kriging algorithm. Horizontal accuracy and vertical accuracy is unknown. cm RMSE at 1 sigma. The layer is available in GEOTIF format approx. 265 MB of data. It has a UTM zone 13 projection, with a NAD83 horizonal datum and a NAVD88 vertical datum computed using NGS GEOID03 model, with FGDC-compliant metadata. A shaded relief model was also generated. A similar layer, the Digital Terrain Model (DTM), is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. A processing report and readme file are included with this data release. The DSM is available through an unrestricted public license. The LiDAR DEMs will be of interest to land managers, scientists, and others for study of topography, ecosystems, and environmental change. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

Polygon feature representing sinkholes in Greene County, Missouri. Attributes include length and width.

The PALEOMAP project produces paleogreographic maps illustrating the Earth's plate tectonic, paleogeographic, climatic, oceanographic and biogeographic development from the Precambrian to the Modern World and beyond.

A series of digital data sets has been produced consisting of plate tectonic data, climatically sensitive lithofacies, and biogeographic data. Software has been devloped to plot maps using the PALEOMAP plate tectonic model and digital geographic data sets: PGIS/Mac, Plate Tracker for Windows 95, Paleocontinental Mapper and Editor (PCME), Earth System History GIS (ESH-GIS), PaleoGIS(uses ArcView), and PALEOMAPPER.

Teaching materials for educators including atlases, slide sets, VHS animations, JPEG images and CD-ROM digital images.

Some PALEOMAP products include: Plate Tectonic Computer Animation (VHS) illustrating motions of the continents during the last 850 million years.

Paleogeographic Atlas consisting of 20 full color paleogeographic maps. (Scotese, 1997).

Paleogeographic Atlas Slide Set (35mm)

Paleogeographic Digital Images (JPEG, PC/Mac diskettes)

Paleogeographic Digital Image Archive (EPS, PC/Mac Zip disk) consists of the complete digital archive of original digital graphic files used to produce plate tectonic and paleographic maps for the Paleographic Atlas.

GIS software such as PaleoGIS and ESH-GIS.

Village of Green Oaks

This StoryMap contains details about access to open green space in King County. This digital document has been developed for the Determinant of Equity - Parks and Natural Resources presentation. It includes information about Access to Open Green Space equity indicator. This presentation includes charts, maps, and a narrative describing this indicator.

The data for the Access to Open Space dataset was compiled by King County GIS Center.

For more information about King County's equity efforts, please see:

Equity, Racial & Social Justice Vision Ordinance 16948 describing the determinates of equity Determinants of Equity and Data Tool

This layer contains details about access to open space in King County. This digital document has been developed for the Determinant of Equity - Parks and Natural Resources presentation. It includes information about Access to Open Green Space equity indicator. Fields describe the total population (Total Pop), number of people who live within 1/4 mile for urban areas 2 miles for rural areas of a green space (Quarter_and_2mi_WithinPop), and the percentage of people who live within 1/4 mile for urban areas 2 miles for rural areas of a green space (Percent_Quarter_or_2mile).

The data was compiled by King County GIS Center. The current Urban Growth Area/Boundary from the Comprehensive Plan was used to determine whether a residence (address point used as a population point) was considered urban (with criteria within ¼ mile of an open space) or rural (with criteria within 2 miles of an open space). Open space was defined by the countywide PARK layer and any other areas within the PSRC Open Space layer that were not already included in the PARK layer. In this analysis, a vacant, brush covered lot with no way to tell it is owned by a parks department has the same value as a developed park with ball fields and play areas. Regional Trails are also included as open space, when the surrounding property is publicly owned. A traditional buffer is used for this open space analysis, because to do a network analysis would require the location of road access points for all 1400+ parks in King County. While a network analysis would be more accurate, this is less of a difference in urban areas with highly developed road networks that make road access to a park more direct.For more information about King County's equity efforts, please see:Equity, Racial & Social Justice VisionOrdinance 16948 describing the determinates of equityDeterminants of Equity and Data Tool

This map service contains publicly available data hosted by the Bowling Green-Warren County City-County Planning Commission (CCPC).

Feature layer of BicyclePA Routes for use with PennDOT's PennShare and OpenData applicationsBicyclePA routes were designed by experienced bicyclists to provide those who wish to traverse the state by bicycle with a guide to some of the Commonwealth’s highways and rail-trails. Some of these routes contain bike lanes or other facilities designed specifically for bicyclists traveling within the four corners of the Commonwealth. Every bicyclist is responsible for his or her personal safety and welfare and for remaining alert and mindful of conditions on the roads or trails. There are 10 designated BicyclePA routes- A, E, G, J, JS, L, S, V, Y, and Z. A: BicyclePA Route A runs north/south from Presque Isle State Park on Lake Erie to the West Virginia border just north of Morgantown in Greene County. E: BicyclePA Route E runs north/south from the New Jersey border along the Delaware River in Morrisville, PA to the Delaware border in Marcus Hook, PA. G: BicyclePA Route G runs north/south from the New York border in Lawrenceville, Tioga County to the Maryland border in Bedford County. J: BicyclePA Route J runs north/south from the New York border in Sayre, Bradford County to the Maryland border in two places: New Freedom, York County and south of Gettysburg in Adams County. JS: BicyclePA Route JS runs east/west between Seven Valleys in York County and Gettysburg in Adams County. L: BicyclePA Route L runs north/south from the New York border south of Binghamton in Susquehanna County to the Delaware border north of Wilmington in Chester County. S: BicyclePA Route S runs east/west from the New Jersey border at the Washington Crossing Military Park on the Delaware River in Bucks County to the West Virginia border east of Wheeling in Washington County. V: BicyclePA Route V runs east/west from the New Jersey border in Portland (Northampton County) to the Ohio border in Lawrence County, roughly parallel with Interstate 80. Y: BicyclePA Route Y runs east/west from the New York border in Pike County to the Ohio border in Crawford County. Z: BicyclePA Route Z runs east/west along the shore of Lake Erie from the New York border to the Ohio border in Erie County. Send your bicycle/pedestrian questions to ra-pdbikepedpa@pa.gov For contact information for your local bike/ped coordinator, please visit the Bike/Ped Coordinators Contact Info Web Page To view the Pennsylvania Bicycle Driver’s Manual, click here.

This digital dataset presents the oil and gas fields of Utah at a 1:700,000 scale. The Uinta and Paradox Basins in eastern and southeastern Utah, respectively, produce the majority of the hydrocarbons in the state. The map also shows major basins and uplifts, national parks, monuments, and recreation areas, township and range, counties, major cities, major roads, major water bodies, Precambrian rocks, Tertiary and Quaternary volcanic rocks and intrusions, the eastern extent of Sevier orogenic thrusting, and pipelines. The oil and gas field polygons are colored by the age of the major producing reservoir. Field names are colored by commodity produced (red for gas, green for oil, and purple for CO2). Beneath each field label are listed the producing reservoir rocks, field designations, and reservoir designations. Any designations listed after reservoirs are applicable only to the afore-written reservoir. For example, the Lodgepole field polygon in Summit County is colored green for Jurassic, and the field label is also green, designating an oil field. Beneath the name “Lodgepole” is listed “(D) (HD) Jtc, Jn (A)” and from this we understand Lodgepole field has a produced water disposal project and horizontal drilling, is currently producing from the Jurassic Twin Creek Limestone and used to produce from the now-abandoned Jurassic Nugget Sandstone. The oil and gas pipelines are colored according to the products they transport (green for crude oil, red for natural gas, purple for CO2, and brown for refined products). Labels along the pipeline have an acronym referring the current operator, the diameter of the line, and direction of flow. This CD contains geographic information system (GIS) fields in an Environmental Systems Research Institute (Esri) file geodatabase and shapefile formats. A Portable Document Format (PDF) of the map is also included and requires Adobe Reader to view which can be downloaded at www.adobe.com. Specialized GIS software is required to use the GIS files.

This imagery was collected by Pictometry for the Bowling Green-Warren County, Kentucky area immediately following the December 2021 EF-3 tornado.