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TwitterThe MDOT_CO_LRM feature is a complete dataset of roads in the State of Mississippi. All road mileages are referenced to the county they are contained. • This feature contains the State Maintained Routes as well as Local Roads. • All connectivity and topology checks have been performed. • The network contains ramps, frontage roads, intersection turnouts, as well as cross-overs.*** Updated September 2019 ***
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TwitterHarrison County Approved 2024 Land Parcels
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TwitterPROCESS ID: "MS-CHATHAMCOUNTYCEMETERIES"1. PurposeMap service including cemetery points maintained by the Chatham County GIS Department that is available for download via the Chatham County Open Data Portal.2. Related Process ID'sSCRIPT-RECPOSTGDB-CHATHAMGISPUB3. Data Output / RequirementsPublished to arcgis3.chathamcountync.gov - “gisservices.chathamcountync.gov/opendataagol/rest/services”4. Server Location(s)REST Service URL:https://gisservices.chathamcountync.gov/opendataagol/rest/services/Cadastral/Chatham_Cemeteries/MapServerMap Document (.aprx) Server Location:\arcgis7\GIS Server Workspace\Map Services\ArcGIS Server Services\Cadastral\Cadastral.aprx (Chatham - Cemeteries)The data source file geodatabase is located at the following server directory:\arcgis1\Published Replication\ChathamGISPub.gdb5. FrequencyThe process runs uninterrupted and only needs to be republished if the data source is changed.6. Intended AudiencePublic data available for download or for use within staff web maps.7. Important DatesImplemented: 5/17/2018Last SOP Revision: 4/29/2025Deprecated: N/A8. Associated Diagrams / Screen Shots / NotesN/A
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Lake County, Tennessee, lies within the center of the New Madrid seismic zone, and thus is particularly vulnerable to seismic hazards. To better evaluate the seismic threat to Lake County, the stratigraphy and structure were mapped beneath the county. A shallow 3-D lithologic model was constructed to illustrate the Quaternary Mississippi River alluvial facies of Lake County in five-foot (1.5 m) thick layers to a depth of 300 feet (91.4 m). This model provides near-surface geologic data for the determination of earthquake liquefaction potential and illustrates the Mississippi River alluvial aquifer for optimum agricultural water exploitation. In addition, faulted structure contour maps were made of the tops of the unconformable Paleozoic, Cretaceous, and Eocene sections. With these structure contour maps a deep 3-D geologic model was built for Lake County, which shows the stratigraphy and structure from the Quaternary to the Paleozoic. Cross-sections were also created to illustrate the subsurface geology. The faulted structure contour maps and cross-sections reveal Quaternary faulting on the Reelfoot North, Axial, Tiptonville dome back thrust, Lake County uplift back thrust, Cottonwood Grove, Ridgely, and previously unidentified faults. The maps also illustrate where surface fault rupture may occur and the sense of vertical surface displacement in the event of a future large earthquake.
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TwitterPROCESS ID: "MS-CHATHAMCONSERVATION" 1. PurposeMap service dedicated to conservation data in Chatham County 2. Related Process ID'sWEBMAP-CONSERVATIONVIEWERWEBAPP-CONSERVATIONVIEWERSERVER-ARCGIS4 3. Data Output / RequirementsPublished to arcgis4.chathamcountync.gov 4. Server Location(s)REST Service URL:https://gisservices.chathamcountync.gov/webapps/rest/services/DedicatedDatasets/ChathamConservation/MapServer Map Document (.aprx) Server Location:\arcgis7\GIS Server Workspace\Web Application Services\ConservationViewer 5. FrequencyThe data only needs to be republished if the data source is changed. 6. Intended AudiencePublic data available for download or for use within staff web maps. 7. Important DatesImplemented: 6/30/2025Last SOP Revision: 6/30/2025Deprecated: N/A 8. Associated Diagrams / Screen Shots / NotesN/A
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TwitterThis 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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TwitterPROCESS ID: "MS-CHATHAMCOUNTYZONING" 1. PurposeMap service including zoning polygons for Chatham Counties’ planning jurisdiction that are available for download via the Chatham County Open Data Portal. 2. Related Process ID'sSCRIPT-RECPOSTGDB-CHATHAMGISPUB 3. Data Output / RequirementsPublished to arcgis3.chathamcountync.gov - “gisservices.chathamcountync.gov/opendataagol/rest/services” 4. Server Location(s)REST Service URL:https://gisservices.chathamcountync.gov/opendataagol/rest/services/LandUsePlanning/Chatham_CountyZoning/MapServer Map Document (.aprx) Server Location:\arcgis7\GIS Server Workspace\Map Services\ArcGIS Server Services\LandUsePlanning\LandUsePlanning.aprx (Chatham - County Zoning) The data source file geodatabase is located at the following server directory:\arcgis1\Published Replication\ChathamGISPub.gdb 5. FrequencyThe process runs uninterrupted and only needs to be republished if the data source is changed. 6. Intended AudiencePublic data available for download or for use within staff web maps. 7. Important DatesImplemented: 5/17/2018Last SOP Revision: 4/29/2025Deprecated: N/A 8. Associated Diagrams / Screen Shots / NotesN/A
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TwitterPROCESS ID: "MS-FIBERLINES"1. PurposeLine features representing existing and proposed fiber lines (buried & aerial) owned by Chatham County MIS in Chatham County, NC. These fiber lines are utilized for the NC811 notification system that Chatham County MIS participates in.2. Related Process ID'sSCRIPT-RECPOSTGDB-CHATHAMGISPUBMS-FIBERLINEBUFFERHFS-FIBERGPSCOLLECTIONWEBMAP-ITGPSCOLLECTIONWEBAPP-ITASSETINVENTORY3. Data Output / RequirementsPublished to arcgis3.chathamcountync.gov - “gisservices.chathamcountync.gov/opendataagol/rest/services”4. Server Location(s)REST Service URL:https://gisservices.chathamcountync.gov/opendataagol/rest/services/Infrastructure/Chatham_FiberLines/MapServerMap Document (.aprx) Server Location:\arcgis7\GIS Server Workspace\Map Services\ArcGIS Server Services\Infrastructure\Infrastructure.aprxThe data source file geodatabase is located at the following server directory:\arcgis1\Published Replication\ChathamGISPub.gdb5. FrequencyThe process runs uninterrupted and only needs to be republished if the data source is changed.6. Intended AudienceCounty GIS & IT staff for use within staff web maps & applications.7. Important DatesImplemented: 5/17/2018Last SOP Revision: 5/22/2025Deprecated: N/A8. Associated Diagrams / Screen Shots / NotesThe buried fiber line features are utilized to create a buffer polygon that is imported into NC811's notification system serving as the basis for all Chatham County MIS notifications. The original data was collected by Performance Cabling using industry standard GPS collection methods. The data was delivered to Chatham County MIS / GIS in May of 2015. The data was imported into the 'ChathamGIS' SQL database in August 2015 and stored in the "infrastructure" dataset. The ongoing data updates and maintenance are conducted by Chatham County GIS using the HFS-FIBERGPSCOLLECTION published to the Chatham County Enterprise Portal.
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TwitterThis 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
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TwitterThis dataset contains detailed USDA SSURGO soil information and mapped soil extents for the soils of Accomack and Northampton Counties on Virginia's Eastern Shore, including those areas of focused study by the Virginia Coast Reserve LTER project. This USDA soil data is collected and combined here to make it more accessible to VCRLTER researchers and students, in a more GIS-friendly format, and to supersede previous digitized versions of more generalized soil maps created by the VCRLTER and included as part of the 1995 VCRLTER-Northampton County GIS data archive (dataset VCR14219). Data was downloaded in Jan. 2014 and tabular data for both counties was imported into a MS Access database using the provided standard SSURGO US 2003 template. Spatial data for the two counties was merged together into a single ArcGIS shapefile and selected fields from the MAPUNIT and MUAGGATT tables were joined to the final shapefile's attribute table. Each polygon represents all or part of a SSURGO "mapunit", which may contain multiple component soils; usually very similar soils that grade together or else so heterogeneously mixed together at fine spatial scales to make mapping the component soils individually impractical. Also, each soil typically has multiple vertical soil horizons, each with its own distinct composition (mineral, textural, etc.) and other characteristics. Detailed information about component soils (including typical soil moisture, dry albedo, erodibility indices, taxonomic nomenclature, flooding and ponding characteristics, engineering, crop, forest, and habitat suitability indices and yield tables, and geomorphic descriptions) and component horizons (including horizon depths, grain size distributions, sand/silt/clay fractions, mineral and organic content, and pore space characteristics) is included in the MS Access database but NOT in the combined ArcGIS shapefile. Users interested in exploring or displaying component or horizon information may use the report and query forms within the MS Access database, or they may join selected database tables to the shapefile using the appropriate mukey, cokey, and chkey indices in a one-to-many join within a chosen GIS software.
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TwitterInundation maps created spring, 2019 for the Mississippi River along the Scott County, Iowa boundary.
Source DEM was the 2008-2010 State of Iowa LIDAR data. River elevations were modified to ensure proper river surface modeling.
River elevation was derived from eleven profile measurements found in a U.S. Army Corps of Engineers flow study completed in 2004.
River elevations were converted to NAVD88 verrtical datum and correlated to the river stage at Rock Island Lock and Dam 15 gauge.
The map is intended as a inundation reference for local flood preparation and response. It is an estimate and should not be construed as a precise model. Local measurements and observations should be used to determine actions.
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TwitterLA County Bikeways web map to locate bikeways within the Los Angeles County. It displays existing and proposed bikeways (paths, lanes, routes, access, and access points) and includes data maintained by Los Angeles County and MTA, unpaved hiking and riding trail data, and bike gate status.
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TwitterThe MDOT_CO_LRM feature is a complete dataset of roads in the State of Mississippi. All road mileages are referenced to the county they are contained. • This feature contains the State Maintained Routes as well as Local Roads. • All connectivity and topology checks have been performed. • The network contains ramps, frontage roads, intersection turnouts, as well as cross-overs.*** Updated September 2019 ***