MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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.
NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and modeling efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEM ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).This DEM includes the Galveston, Texas area encompassing Brazoria, Galveston, Harris, Chambers, and Jefferson Counties.While every effort has been made to ensure that these data are accurate and reliable within the limits of the current state of the art, NOAA cannot assume liability for any damages caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.The dataset is provided "as is," without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.
These data were automated to provide an accurate high-resolution historical shoreline of Galveston, Texas suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Supplemental GIS Data for Status and Trends of Wetland and Aquatic Habitats on Barrier Islands, Upper Texas Coast, Galveston and Christmas Bays A report of the Coastal Coordination Council pursuant to National Oceanic and Atmospheric Administration Award No. NA17OZ2353
Geospatial data about Texas Seagrass. Export to CAD, GIS, PDF, CSV and access via API.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset defines the major bays of the Texas Gulf Coast. The eight major bay systems are Sabine Lake, Galveston, Matagorda, San Antonio, Aransas, Corpus Christi, Upper Laguna Madre and Lower Laguna Madre. Two areas, East Matagorda Bay and Cedar Lakes, are sampled seperately from the previously mentioned eight bay systems. For the purpose of this map, those areas have been included in bays 1 though 8. East Matagorda Bay is part of the Matagorda Bay system and Cedar Lakes is part of the Galveston Bay system.This data was prepared by the Texas Parks and Wildlife Department GIS analysts. The Texas Parks and Wildlife Department, its employees, and personnel, make no warranty as to its accuracy. The Texas Parks & Wildlife Department, its employees, and personnel MAKE NO WARRANTY FOR FITNESS OF USE FOR A PARTICULAR PURPOSE EXPRESS OR IMPLIED WITH RESPECT TO THIS DATA. THIS IS NOT A SURVEYED PRODUCT. The data as provided by TPWD is not intended for navigational use.
The Key Map Grid Index dataset contains rectangular features representing index pages within Montgomery County, Texas. Each index page is proportioned to fit a letter-sized map and is assigned a unique identifier for reference purposes. This dataset facilitates the organization and retrieval of key map grids, with 24 key map grids fitting within a single index page. The index pages are numbered sequentially, and the key map grids within each index page are lettered accordingly, excluding the letters "I" and "O" to avoid confusion with numbers. The Key Map Grid Index was created by the Houston Map Company, which covers multiple counties in the Houston metropolitan area including Harris, Fort Bend, Galveston, Brazoria, Liberty, Waller, and Montgomery Counties. More information can be found on the Houston Map Company's website at www.keymaps.com.Data Fields Included:Index Page ID: Unique identifier assigned to each index pageBoundary Polygon: Rectangle representing the proportionate index page
Geospatial data about Brazoria County, Texas County Parks. Export to CAD, GIS, PDF, CSV and access via API.
The H-GAC ZIP code coverage includes polygons and their attributes for Harris, Fort Bend, Brazoria, Galveston, Chambers, Liberty, Montgomery, Waller, Austin, Colorado, Matagorda Wharton and Walker County. It was primarily created from the census 2002 ZIP code boundary data with secondary source data coming from Centerpoint ZIP code, Esri 2009 ZIP code, address point data from centerpoint and counties, CRIS ( Carrier Route Information System) data, US Postal Services Online site ( Look up a ZIP code) and parcels. Must Not Overlap and Must Not have Gaps topology rules have been used in order to create an accurate ZIP code layer. The layer represents physical ZIP codes and a few PO BOX ZIP codes are included rural areas . PO BOX ZIP codes can be identifying by "zip_type" field in the attribute table.
This layer is a component of Zipcodes.
Zipcode boundaries from H-GAC StarMap program clipped to Harris County
© HCITC GIS, H-GAC, StarMap
Purpose and Intent of Map:This product shows geography at the Census tract level for the scope of nine Texas coastal counties that occupy the USACE Galveston District and are affected by the 100 year flood levels. This map also incorporates Overall Social Vulnerability rankings by Census Tracts. These decimal rankings were converted to percentile format and symbolized in three different categories- (0 to 25 percent, 26 to 50 percent, and 51 to 100 percent). Higher percentile numbers indicate higher vulnerability and risks for that area due to increased percentage of social factors for that geographic area. This data was retrieved from the most up-to-date Social Vulnerability Index (SVI) 2018 released data, and sourced from the CDC and ATSDR.Website: https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.htmlWhat is CDC Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every county and tract. CDC SVI ranks each county and tract on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:SocioeconomicHousing Composition and DisabilityMinority Status and LanguageHousing and Transportation VariablesFor a detailed description of variable uses, please refer to the full SVI 2018 documentation.Overall rankings were converted to percentile format and symbolized in 3 categories- (0 to 25, 26 to 50, and 51 to 100). Higher percentile indicates higher vulnerability and risks due to increased percentage of social factors associated with risk and vulnerability.
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MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
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.