Vector polygon map data of city limits from Houston, Texas containing 731 features.

City limits GIS (Geographic Information System) data provides valuable information about the boundaries of a city, which is crucial for various planning and decision-making processes. Urban planners and government officials use this data to understand the extent of their jurisdiction and to make informed decisions regarding zoning, land use, and infrastructure development within the city limits.

By overlaying city limits GIS data with other layers such as population density, land parcels, and environmental features, planners can analyze spatial patterns and identify areas for growth, conservation, or redevelopment. This data also aids in emergency management by defining the areas of responsibility for different emergency services, helping to streamline response efforts during crises..

This city limits data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

This app shows evacuation routes and demographic data by census tract for Houston, Texas. The darker blue tracts have a higher percentage of households without a vehicle. This pattern helps answer the question: Where in Houston should we provide evacuation assistance during a hurricane?Use the map legend and feature pop-ups to learn more about the data shown in the map. Click individual census tracts to see pop-up information, including the percentage of households without a vehicle.The map in this app contains a Living Atlas layer of Houston evacuation routes and a layer of Houston demographic data. The demographic layer is styled using an Arcade expression that calculates the percentage of households without a vehicle. This information is also provided in pop-ups.

Geospatial data about Houston, Texas Sidewalks. Export to CAD, GIS, PDF, CSV and access via API.

City, town, village, and place boundaries within the 13-county region H-GAC. The cities, towns, and villages include: Alvin, Ames, Anahuac, Angleton, Arcola, Bailey's Prairie, Barrett, Bay City, Bayou Vista, Baytown, Beach City, Beasley, Bellaire, Bellville, Bonney, Brazoria, Brazos Country, Brookshire, Brookside Village, Bunker Hill Village, Clear Lake Shores, Cleveland, Clute, Columbus, Conroe, Cove, Cut and Shoot, Daisetta, Danbury, Dayton, Dayton Lakes, Deer Park, Devers, Dickinson, Eagle Lake, East Bernard, El Campo, El Lago, Fairchilds, Freeport, Friendswood, Fulshear, Galena Park, Galveston, Hardin, Hedwig Village, Hempstead, Hillcrest, Hilshire Village, Hitchcock, Holiday Lakes, Houston, Humble, Hunters Creek Village, Huntsville, Industry, Iowa Colony, Jacinto City, Jamaica Beach, Jersey Village, Jones Creek, Katy, Kemah, Kendleton, Kenefick, La Marque, La Porte, Lake Jackson, League City, Liberty, Liverpool, Magnolia, Manvel, Meadows Place, Missouri City, Mont Belvieu, Montgomery, Morgan's Point, Nassau Bay, Needville, New Waverly, North Cleveland, Oak Ridge North, Old River-Winfree, Orchard, Oyster Creek, Palacios, Panorama Village, Pasadena, Pattison, Patton Village, Pearland, Pine Island, Piney Point Village, Pleak, Plum Grove, Prairie View, Quintana, Richmond, Richwood, Riverside, Roman Forest, Rosenberg, San Felipe, Sandy Point, Santa Fe, Seabrook, Sealy, Shenandoah, Shoreacres, Simonton, Sourh Frydek, South Houston, Southside Place, Splendora, Spring Valley Village, Stafford, Stagecoach, Sugar Land, Surfside Beach, Sweeny, Taylor Lake Village, Texas City, Thompsons, Tiki Island, Tomball, Waller, Wallis, Webster, Weimar, West Columbia, West University Place, Weston Lakes, Wharton, Willis, Woodbranch, Woodloch. The census designated places (CDPs) include: Aldine, Atascocita, Bacliff, Barrett, Big Thicket Lake Estates, Blessing, Boling, Bolivar Peninsula, Channelview, Cinco Ranch, Cloverleaf, Crosby, Cumings, Damon, Deerwood, East Columbia, Fifth Street, Four Corners, Fresno, Garwood, Glidden, Grangerland, Highlands, Hull, Hungerford, Iago, Louise, Markham, Mataforda, Midfield, Mission Bend, Nada, New Ulm, Oak Island, Pecan Grove, Pinehurst, Porter Heights, Rock Island, Rosharon, San Leon, Sargent, Sheldon, Sheridan, Sienna, Spring, Stowell, The Woodlands, Van Vleck, Wadsworth, Wild Peach Village, Winnie.

This U.S. Geological Survey (USGS) data release presents a digital database of geospatially enabled vector layers and tabular data transcribed from the geologic map of the Lake Owen quadrangle, Albany County, Wyoming, which was originally published as U.S. Geological Survey Geologic Quadrangle Map GQ-1304 (Houston and Orback, 1976). The 7.5-minute Lake Owen quadrangle is located in southeastern Wyoming approximately 25 miles (40 kilometers) southwest of Laramie in the west-central interior of southern Albany County, and covers most of the southern extent of Sheep Mountain, the southeastern extent of Centennial Valley, and a portion of the eastern Medicine Bow Mountains. This relational geodatabase, with georeferenced data layers digitized at the publication scale of 1:24,000, organizes and describes the geologic and structural data covering the quadrangle's approximately 35,954 acres and enables the data for use in spatial analyses and computer cartography. The data types presented in this release include geospatial features (points, lines, and polygons) with matching attribute tables, nonspatial descriptive and reference tables, and ancillary resource files for correct symbolization, in formats that conform to the Geologic Map Schema (GeMS) developed and released by the U.S. Geological Survey's National Cooperative Geologic Mapping Program (GeMS, 2020). When reconstructed from the geodatabase's vector layers and tabular data that has been symbolized according to specifications encoded in the accompanying style file, and using the supplied Federal Geographic Data Committee (FGDC) GeoAge font for labeling formations and GeoSym fonts for structural line decorations and orientation measurement symbols, this data release presents the Geologic Map as shown on the published GQ-1304 map sheet. These GIS data augment but do not supersede the information presented on GQ-1304. References: Houston, R.S., and Orback, C.J., 1976, Geologic Map of the Lake Owen Quadrangle, Albany County, Wyoming: U.S. Geological Survey Geologic Quadrangle Map GQ-1304, scale 1:24,000, https://doi.org/10.3133/gq1304. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)- A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.

Harris County Map Facets. Visit http://pdata.hcad.org/GIS/index.html for more information and the quarterly refresh schedule.

This is a PDF map showing general basemap features including incorporated communities, roads, and water bodies for Houston County, Texas.If intending to print this map, it is formatted for printing in Portrait at the size 24” x 36”.A note regarding the data presented on this map:While we seek to provide information that is as accurate and up-to-date as possible, boundaries presented here, including Municipal and County boundaries, are to be used as approximate geographic representations only. The relevant local government offices should always be contacted directly regarding any specific questions or for any final determinations as to what jurisdiction a particular location is in.

Geospatial data about Houston, Texas Roads. Export to CAD, GIS, PDF, CSV and access via API.

This story map was built by the Esri disaster response team to assist local, state, and federal agencies in their response to Hurricane Harvey. The post-event imagery is provided by the NOAA Remote Sensing Services Division.

Geospatial data about Houston, Texas Land Use (Grouped). Export to CAD, GIS, PDF, CSV and access via API.

This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of Precambrian metasedimentary rocks of the Medicine Bow Mountains, Albany and Carbon Counties, Wyoming (Houston and Karlstrom, 1992). Attribute tables and geospatial features (points, lines and polygons) conform to the Geologic Map Schema (GeMS, 2020) and represent the geologic map plates as published at a scale of 1:50,000. The 358,697-acre map area includes the geologically complex Medicine Bow Mountains located 30 miles (48 kilometers) west of Laramie in southeastern Wyoming. References: Houston, R.S., and Karlstrom, K.E., 1992, Geologic map of Precambrian metasedimentary rocks of the Medicine Bow Mountains, Albany and Carbon Counties, Wyoming: U.S. Geological Survey, Miscellaneous Investigations Series Map I-2280, scale 1:50,000, https://doi.org/10.3133/i2280. U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.

Geospatial data about Houston, Texas Contours (1K). Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Houston, Texas Waterway. Export to CAD, GIS, PDF, CSV and access via API.

Dates of Images:Pre-Event: April 2024Post-Event: 5/18/2024, 5/19/2024, 5/20/2024Date of Next Image:UnknownSummary:The Black Marble High-Definition (BMHD) images were created by the NASA Black Marble Science team, with directed funding the NASA-Google Partnership program. The images map the impact of extreme heat in Houston, Texas on electric grids. The baseline image is from April 2024, a cloud-free, moon-free composite, and the “after" image is from May 18, 2024 - May 20, 2024. There is a layer to display where clouds are present in the "after" images. This comparison between the images is meant as a visual assessment of outage impacts from the extreme heat to aid various partners who are working to deliver emergency aids to local communities. Power outage maps like these help disaster response efforts in the short-term as well as long-term monitoring during the crucial stages of disaster recovery.From the BMHD data, zonal statistics were collated with FEMA's National Risk Index (NRI) Social Vulnerability score to identify areas where vulnerable populations were affected by power outages. Higher (red) census tract areas indicate a higher amount of power lost relative to the second date listed. For example, a red polygon in the Baseline (April) - May 18th layer indicates that specific area lost disproportionately more power and is in an area with high social vulnerability risk when comparing the normal power available (baseline) to when the disaster occurred.Suggested Use:NOTE: Black Marble HD images are downscaled from NASA’s Black Marble nighttime lights product (VNP46), and as such are a “modelled” or “best guess” estimate of how lights are distributed at a 30m resolution. These images should be used for visualization purposes, not for quantitative analysis.The image is in a yellow-red color scale. Red indicates more severe impacts. Grey polygons are acquired from cloud cover and represent areas where no data was available on a given day.Satellite/Sensor:The primary data source, NASA’s Black Marble nighttime lights product suite (VNP46), utilized to generate this product is derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP) along with high resolution base layers - Landsat derived normalized index products (NDVI and NDWI) and OpenStreetMap (OSM) derived road layerResolution:Scaled resolution of 30 metersCredits:NASA Black Marble Science teamFEMA National Risk Index (NRI) TeamPlease cite the following two references when using this data:Román MO, Stokes EC, Shrestha R, Wang Z, Schultz L, Carlo EA, Sun Q, Bell J, Molthan A, Kalb V, Ji C. Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PloS one. 2019 Jun 28;14(6):e0218883.Román MO, Wang Z, Sun Q, Kalb V, Miller SD, Molthan A, Schultz L, Bell J, Stokes EC, Pandey B, Seto KC. NASA's Black Marble nighttime lights product suite. Remote Sensing of Environment. 2018 Jun 1;210:113-43.Point of Contact:Ranjay ShresthaNASA Goddard Space Flight CenterE-mail: ranjay.m.shrestha@nasa.govAdditional Links:NASA’s Black Marble Product SuiteRomán, M.O. et al. (2019) Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PLoS One, 14 (6).Román, M.O. et al. (2018) NASA’s Black Marble nighttime lights product suite. Remote Sensing of Environment. 210, 113–143.FEMA's National Risk Index Map: https://hazards.fema.gov/nri/data-resources#shpDownloadEsri REST Endpoint:See URL section on right side of page.WMS Endpoint:https://maps.disasters.nasa.gov/ags03/services/texas_extremeheat_202405/Relative_Power_Loss_Web_Map/MapServer/WMSServer?request=GetCapabilities&service=WMSData Download:https://maps.disasters.nasa.gov/download/gis_products/event_specific/2024/texas_extremeheat_202405/blackmarble_hd/

Map showing the Annexation from 1920 - 1929. See Main Story Map Content: http://arcg.is/SDGb

CATEGORY: Planning & Development

Geospatial data about Houston, Texas Easements. Export to CAD, GIS, PDF, CSV and access via API.

These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer. The DEM includes the 'best available' lidar data known to exist at the time of DEM creation that meets project specifications for those counties within the boundary of the Houston/Galveston TX Weather Forecast Office (WFO), as defined by the NOAA National Weather Service. The counties within this boundary are: Jackson, Matagorda, Brazoria (portion), Harris (portion), Galveston, and Chambers. For all the counties listed, except for Harris, the DEM is derived from LiDAR data sets collected for the Texas Water Development Board (TWDB) in 2006 with a point density of 1.4 m GSD. LiDAR data for Harris County was collected in October 2001 by the Harris County Flood Control District Tropical Storm Allison Recovery Project (TSARP) with a point density of 2.0 m GSD. Hydrographic breaklines used in the creation of the DEM were delineated using LiDAR intensity imagery generated from the data sets. The DEM is hydro flattened such that water elevations are less than or equal to 0 meters.The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 10 meters.