Download .zipThis theme shows detailed watersheds for Medina 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

Download .zipA potentiometric surface map is a contour map that represents the top of the ground water surface in an aquifer. The contour lines illustrate the potentiometric surface much like the contour lines of a topographic map represent a visual model of the ground surface. A potentiometric surface map is very similar to a water table map in that both show the horizontal direction and gradient of ground water flow.Contact Information:GIS Support, ODNR GIS ServicesOhio Department of Natural ResourcesDivision of Geological Survey2045 Morse Rd, Bldg I-2Columbus, OH, 43229Telephone: 614-265-6693Email: gis.support@dnr.ohio.gov

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Download .zipThe Ohio Wetlands Inventory is based on analysis of satellite data by Bruce R. Motsch and Gary M. Schaal and is intended solely as an indicator of wetland sites for which field review should be conducted. The satellite data reflect conditions during the specific year and season the data was acquired and all wetlands may not be indicated. Statistics generated from the inventory are intended solely as an approximation.

The Ohio Wetlands Inventory for Medina County was produced from April 1987 Landsat Thematic mapper data (cell size 30 meters by 30 meters) using ERDAS Image processing software. The raster data has been converted to ARC/INFO format and exported to an interchange file.

The data was originally georeferenced to UTM zone 17 coordinates NAD 27 and is also available in this coordinate system in ERDAS Imagine format.

The class of woods on hydric soils, wet meadow and farmed wetland fall on hydric soils when digital soils data is available for the county.

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

Download .zipThis map was derived from the Medina County Soil Survey using the Universal Soil Loss Equation to calculate estimated erosion rates with an assumed C factor of .058.

Factors combined by the universal soil loss equation include: rainfall factor, ersosion factor "K", and slope length and steepness factor. An average slope length and steepness factor for each soil mapping unit in the county was provided by John Hocker, District Conservationist for Medina County.

Soils used in this analysis were digitized from the paper original soil survey sheets. These sheets were taped together to form an area covering each of the USGS 7.5 minute quadrangle maps in the county. The areas for each quadrangle were then digitized using run-length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The measurement increment along these lines was one decafoot (10 feet). The quadrangle files were then merged into a county file which has subsequently been converted to Arc/Info format.

The user should bear in mind that this coverage is only an approximation of the soil survey and should not be used for site specific analysis.

Additional details of the digitizing process are available upon request.

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

Download .zipThis analysis was conducted by rating soil mapping units in the county for no-till suitability and combining this with land use. Ratings for the soil mapping units were provided by John Hocker, District Conservationist for Medina County.

These soils used in this analysis were digitized from the paper original soil survey sheets. These sheets were taped together to form an area covering each of the USGS 7.5 minute quadrangle maps in the county. The areas for each quadrangle were then digitized using run-length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The measurement increment along these lines was one decafoot (10 feet). The quadrangle files were then merged into a county file which has subsequently been converted to Arc/Info format.

The user should bear in mind that this coverage is only an approximation of the soil survey and should not be used for site specific analysis.

Additional details of the digitizing process are available upon request.

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

Download .zipThis sand and gravel resources theme shows areas of probable and inferred sand and gravel resources based on geologic interpretation by Michele L. Risser of the ODNR, Division of Geological Survey.

This coverage was digitized from a paper county map with a scale of 1:63360. Digitizing used run length encoding techniques, sampling along horizontal lines which represented the midline of cells with a height of 250 ft. The horizontal measurement increment along these lines was one decafoot (10 feet). Additional details of the digitizing process are available on request. The coverage was subsequently converted to an Arc/Info vector format.

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

Download .zipThis coverage was extracted from the 1994 statewide land cover inventory of Ohio produced by Bruce R. Motsch and Gary M. Schaal of the Ohio Department of Natural Resources.

The land cover inventory for the State of Ohio was produced by the digital image processing of Landsat Thematic Mapper Data. The Thematic Mapper is a multi-spectral scanner that collects electromagnetic radiation reflected from the earth's surface in the visible, near infrared and mid-infrared wavelength bands. The resolution of the Thematic Mapper data is a 30 meter by 30 meter cell. The computer analysis of the data isolates unique spectral classes that relate to land cover characteristics.

The land cover inventory was produced from Thematic Mapper data acquired in September and October 1994. The data was classified into the general land cover categories of urban, agriculture/open urban areas, shrub/scrub, wooded, open water, non-forested wetlands and barren.

The land cover information reflects the conditions of the satellite data during the specific year and season the data was acquired. The Thematic Mapper data was processed using ERDAS image processing software. The data was originally created in raster format and georeferenced to Universal Transverse Mercator (UTM) zone 17 coordinates NAD27. The data can be combined with other georeferenced digital data layers.

The data is also available in its original ERDAS image format.

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

These maps and database are an update of the Ohio Division of Geological Survey (ODGS) oil and gas fields Digital Chart and Map Series (DCMS 13 through 21), which was completed in 1996. Previous Ohio oil and gas fields maps were also published in 1948, 1953, 1960, 1964, and 1974. The updated maps and database have been created using the GIS-based ESRI/ARCMAP software. All documented oil and gas pools/fields have been digitized as polygons and each polygon is linked to a unique pool/field identification (ID) number and name. Like the previous DCMS oil and gas fields maps, the updated oil and gas pools/fields have been grouped into 8 major plays defined by specific stratigraphic intervals. These are the 1) Pennsylvanian undifferentiated sandstones and coals, 2) Mississippian undifferentiated sandstones (excluding the Berea and Cussewago Sandstone) and Maxville Limestone, 3) Mississippian Berea and Cussewago sandstones), 4) Upper Devonian Ohio Shale and siltstones, 5) Silurian/Devonian Big Lime interval (Onondaga Limestone, Oriskany Sandstone, Bass Islands Dolomite, Salina Group, and Lockport Dolomite), 6) Silurian Cataract/ Medina sandstone (Clinton/Medina) and Dayton Formation (Packer Shell), 7) Middle Ordovician fractured shale, Trenton Limestone and Black River Group and Wells Creek Formation, and 8) Cambrian-Ordovician Knox Dolomite (Beekmantown dolomite, Rose Run sandstone, Copper Ridge dolomite, B-zone, and Krysik sandstone). All oil and gas pool/field ID's are defined and grouped by play and not geographic boundary, since most of the producing oil and gas reservoirs in Ohio occur within stratigraphic traps. This is a departure from the method used in the 1974 map in which oil and gas fields were assigned geographically, and not by producing horizon. Thus on the 1974 map, one field could contain multiple, stacked, partially overlapping, producing horizons from the Cambrian to the Pennsylvanian. Since the 1974 map was produced, over 58,000 additional wells have been drilled and completed in multiple, stacked producing horizons, mostly in unique stratigraphic traps. This has made it too cumbersome to assign all producing horizons to the same pool/field ID within any given geographic area. Assignment of pool/field ID's by play or stratigraphic interval provides a better geologic method of displaying and defining these pools/fields that are dominantly stratigraphic traps. With this method of outlining polygons for producing horizons, a pool is defined as a single polygon that produces from horizons within one play. When more than one polygon is assigned the same ID within the same play, these polygons are defined as a field. Pool/field production types are displayed as gas (red), oil (green), or storage (orange). In most cases, the assignment of production type was determined from the 1974 Ohio oil and gas field map. For updates to the 1974 map, the production type (excluding the Knox Dolomite play) was determined by the dominance of oil or gas symbol as displayed on the township well spot maps. In many cases a subjective decision was made, since many of the wells are displayed as combination oil and gas. With the Knox Dolomite play, the production type was based on gas-to-oil ratio (GOR) using data from the ODGS production database POGO (Production of Oil and Gas in Ohio). Oil production is shown for pools/fields with a GOR less than 5,000, and gas for fields with a GOR greater than 5,000. Calculations are based on cumulative production since 1984. This method of using GOR was not possible for the other, older historical plays because of insufficient production data. Whenever possible, existing outlines from the 1996 digital oil and gas fields maps were used. Exceptions to this are in areas where the 1996-pool/field boundaries were modified or new pool/field boundaries were created from additional drilling. Pool/field boundaries were digitized based upon documented wells from the ODGS township well spot maps, and in some areas from the Ohio Fuel Gas (OFG) well spot maps. The OFG maps were used primarily for the Pennsylvanian and Mississippian plays because many of these older wells are not located on the ODGS township well spot maps. In some areas, digitized pools/fields from the 1996 version were deleted if the oil and gas township and/or the OFG maps or well cards could not verify them. A minimum of 3 producing wells within a 1-mile distance was required to draw a pool/field outline. Storage field outlines are approximate and are based primarily on the 1974 map. In drawing new polygons for pool/field boundaries, a buffer of 1/2 mile was made around each producing well, and boundaries were drawn using these buffers. In assigning pool/field ID's, the historical numbers and names from the 1974 map were maintained whenever possible. Pools/fields may be consolidated into a larger consolidated field only if they occur within the same play. When two or more pools/fields are consolidated, they were assigned a new field ID. The name of the consolidated field was taken from the oldest pool/field within the consolidated field. There may be exceptions to this if the name is firmly entrenched in literature (i.e., Canton Consolidated, East Canton Consolidated, etc.). In a given geographic area of multiple producing horizons, the same ID was maintained for the dominant producing horizon. The less dominant producing horizons in other plays for this geographic area were assigned new pool/field ID's. Every pool/field with an assigned number has also been assigned a unique name. If it is a new pool/field ID that was not on the 1974 map, a new name was assigned using the nearest place name (i.e., town, village, city, etc.) or a named geographic feature (i.e., stream, river, ridge, etc.) from a topographic map.

Download .zipThis map was derived from the Medina County Soil Survey using the Universal Soil Loss Equation to calculate estimated erosion rates from a soil with no vegetative cover such as from a construction site.

Factors combined by the universal soil loss equation include: rainfall factor, ersosion factor "K", and slope length and steepness factor. An average slope length and steepness factor for each soil mapping unit in the county was provided by John Hocker, District Conservationist for Medina County.

Soils used in this analysis were digitized from the paper original soil survey sheets. These sheets were taped together to form an area covering each of the USGS 7.5 minute quadrangle maps in the county. The areas for each quadrangle were then digitized using run-length encoding technique sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The measurement increment along these lines was one decafoot (10 feet). The quadrangle files were then merged into a county file which has subsequently been converted to Arc/Info format.

The user should bear in mind that this coverage is only an approximation of the soil survey and should not be used for site specific analysis.

Additional details of the digitizing process are available upon request.

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

Producto cartográfico básico a escala 1:1.000 que contiene: a) Elementos altimétricos, los cuales se obtienen a partir de procesos fotogramétricos o técnicas de interferometría. Intervalo básico de curvas de nivel cada metro. Curvas de nivel índice cada 5 metros. b) Elementos planimétricos, obtenidos desde procesos fotogramétricos o fotointerpretación, los cuales son estructurados en una base de datos en formato Geodatabase, conforme al modelo de datos vigente de producción cartográfica. Se captura los elementos para la escala de carácter permanente, hasta el límite determinado para el proyecto. c) La Cabecera Municipal de Medina tiene un cubrimiento aproximado de 77,270 hectáreas. d) El proceso se realizó con Fotografías Aéreas de: 20210930, Compilación Toponímica insumo de: 2019 y Restitución en: 2021.

Download .zipThis theme shows land use in 1979 as mapped by the Medina County Regional Planning Commission.

This coverage was digitized from land use information drafted onto USGS quadrangle maps using a run length encoding technique, sampling along horizontal lines which represented the midline of cells with a height of 250 feet. The measurement increment along these horizontal lines was one decafoot (10 ft.). The quadrangle files were then merged into a county file which was subsequently converted to Arc/Info format.

The user should bear in mind that this coverage is only an approximation of the land use as drafted.

Additional details on the digitizing process are available on request.

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

Producto cartográfico básico a escala 1:1.000 que contiene: a) Elementos altimétricos, los cuales se obtienen a partir de procesos fotogramétricos o técnicas de interferometría. Intervalo básico de curvas de nivel intermedias cada 1 metro. Curvas de nivel índice cada 5 metros. b) Elementos planimétricos, obtenidos desde procesos fotogramétricos o fotointerpretación, los cuales son estructurados en una base de datos en formato Geodatabase, conforme al modelo de datos vigente de producción cartográfica. Se captura los elementos para la escala de carácter permanente, hasta el límite determinado para el proyecto. c) El Centro Poblado Gazaduje, tiene un cubrimiento aproximado de 7,02 hectáreas. d) El proceso se realizó con imágenes provenientes del sensor Sony a bordo de un vehículo aéreo no tripulado (UAV) día 30 de septiembre de 2021. Compilación toponímica insumo de: 2013, 2020. Restitución Fotogramétrica en: 2023.

Producto cartográfico básico a escala 1:1.000 que contiene: a) Elementos altimétricos, los cuales se obtienen a partir de procesos fotogramétricos o técnicas de interferometría. Intervalo básico de curvas de nivel cada metro. Curvas de nivel índice cada 5 metros. b) Elementos planimétricos, obtenidos desde procesos fotogramétricos o fotointerpretación, los cuales son estructurados en una base de datos en formato Geodatabase, conforme al modelo de datos vigente de producción cartográfica. Se captura los elementos para la escala de carácter permanente, hasta el límite determinado para el proyecto. c) La Cabecera Municipal de Medina tiene un cubrimiento aproximado de 77,270 hectáreas. d) El proceso se realizó con Fotografías Aéreas de: 20210930, Compilación Toponímica insumo de: 2019 y Restitución en: 2021.

8.5 x 11 sized PDF map of Medina Township.

Terrenos hace referencia a un espacio delimitado que forma parte de la superficie terrestre y puede tener características específicas, como topografía, vegetación, acceso a servicios básicos, entre otros aspectos. Su extensión geográfica es el área urbana y rural del municipio de Nariño.

2022/23 draft floodplains layer of the Upper Cibolo, Mid-Cibolo, Lower Cibolo, Lower Medina, Salado, Upper San Antonio, Leon, Medio, San Geronimo, and portions of the Lower San Antonio watersheds. This draft data is being submitted to FEMA to update the National Flood Hazard Layer (NFHL) and Flood Insurance Rate Maps (FIRMs). It is subject to change until FEMA issues the final data.The Layer is symbolized by the field, "ZONE_SUBTY" showing the following:1% Annual Chance Flood Hazard" = blank and null valuesFuture Conditions 1% Annual Chance Flood Hazard" = 03000.2% Annual Chance Flood Hazard" = 0500Regulatory Floodway" = 1100Source DB: Database Connections\OS@gisAncillary@gissql.sde\gisAncillary.DBO.AppData\Source: S:\Projects\Program-FEMA_CTP\Risk_MAP\MAS 21 Cibolo-Medina-3\Activities\Medina\7-Mapping\MIP_Upload\FloodplainMapping_DataCapture\Spatial_Files\Lower Medina\FPM_LowerMedina.gdbApp: https://sara-tx.maps.arcgis.com/home/item.html?id=929de86ce9274a858eb53319a8d16d87Published in Feb 2023 by the GIS Team to update the symbology. Published to ArcGIS Online Cloud

2022/23 draft floodplains layer of the Upper Cibolo, Mid-Cibolo, Lower Cibolo, Lower Medina, Salado, Upper San Antonio, Leon, Medio, San Geronimo, and portions of the Lower San Antonio watersheds. This draft data is being submitted to FEMA to update the National Flood Hazard Layer (NFHL) and Flood Insurance Rate Maps (FIRMs). It is subject to change until FEMA issues the final data.The Layer is symbolized by the field, "ZONE_SUBTY" showing the following:1% Annual Chance Flood Hazard" = blank and null valuesFuture Conditions 1% Annual Chance Flood Hazard" = 03000.2% Annual Chance Flood Hazard" = 0500Regulatory Floodway" = 1100Source DB: Database Connections\OS@gisAncillary@gissql.sde\gisAncillary.DBO.AppData\Source: S:\Projects\Program-FEMA_CTP\Risk_MAP\MAS 21 Cibolo-Medina-3\Activities\Cibolo\7-Mapping\MIP_Upload\Floodplain Mapping Data Capture\Spatial Files\LCW_Floodplain.gdbApp: https://sara-tx.maps.arcgis.com/home/item.html?id=929de86ce9274a858eb53319a8d16d87Published in Feb 2023 by the GIS Team to update the symbology. Published to ArcGIS Online Cloud

Mapa temático que representa la clasificación por Capacidad de Uso de las tierras del Departamento de Cundinamarca, escala 1:100.000, publicado en el año 2001. Suministra información importante acerca del recurso suelo, a través de la determinación de las potencialidades y limitaciones de uso de las tierras a partir del análisis de las características de los suelos. Se definen las unidades cartográficas de capacidad de uso de la tierra con sus respectivos componentes: Clase, Subclase, Grupo de manejo, Principales Limitantes y Prácticas de Manejo.

La ortofotogrametría es la representación fotográfica de un terreno. Con esta técnica se consigue aprovechar el contenido informativo de la fotografía aérea y realizar las mismas medidas que en un plano gráfico. Es una técnica que tiene su origen en 1931, cuando Lacmann enunció los principios del desarrollo de la ortofotogrametría, que fueron ampliados por Ferber en 1933. Aunque su aplicación no fue efectiva hasta veinte años después, en la década de los cincuenta, con la construcción del orthophotoscope, un instrumento que genera las ortofotos.La Ortofoto de Medina de Nivel 2 (Convencional), está compuesta por imágenes ortorrectificadas del sensor SODA - DRON. Su precisión es similar para cartografía de la misma escala, siempre y cuando se realicen mediciones a nivel de suelo. En razón de que la ortorectificación se realiza teniendo como base un modelo digital de terreno, la proyección de los elementos sobresalientes del suelo no se logra corregir completamente, debido a ello las partes altas de las construcciones pueden estar desplazadas de su localización verdadera, adicionalmente se presentan ocultamientos dificultando la superposición de la información vectorial.Fuente: Departamento de Cundinamarca-Secretaría de planeación y el Instituto Geográfico Agustín Codazzi, 2021