This is a road lidar data collection for developing road elevation models and road inundation mapping methodologies, a joint work between ORNL and The University of Texas at Austin. This dataset is generated as part of the flood transportation infrastructure, partly funded by the NOAA CIROH project. ORNL is a project partner for high-performance computing-empowered flood inundation mapping methodology R&D. The dataset is computed using a GPU-accelerated lidar data processing workflow developed at ORNL. The lidar data source is from TxGIO, the state lidar data collection site. The output dataset is in two formats: laz and copc. It is organized by TxDOT's maintenance sections, covering the Austin District. Data size: 3.86 billion road lidar points, 1.67% of the entire lidar data input Projection: EPSG:32614 (WGS84/UTM zone 14N) Website: https://web.corral.tacc.utexas.edu/nfiedata/road3d/austin_district/AustinMaintenanceSections_H_epsg6343_V_epsg5703/ LICENSE FOR USE -- MAPS AND DATA DISCLAIMER This resource is shared under the Creative Commons Attribution CC BY, http://creativecommons.org/licenses/by/4.0/ MAPS AND DATA DISCLAIMER The Oak Ridge National Laboratory (ORNL) shall not be held liable for improper or incorrect use of the data described or information contained on this map or associated series of maps. The data and related map graphics are not legal, land survey or engineering documents and are not intended to be used as such. ORNL gives no warranty, express or implied, as to the accuracy, reliability, utility or completeness of this information. The user of these maps and data assumes all responsibility and risk for the use of the maps and data. ORNL disclaims all warranties, representations or endorsements either express or implied, with regard to the information contained in this map product, including, but not limited to, all implied warranties of merchantability, fitness for a particular purpose or non-infringement. This preliminary map product is for research and review purposes only. It is not intended to be used for emergency management operational or life safety decisions at the local or regional governmental level or by the general public. Users requiring information regarding hazardous conditions or meteorological conditions for specific geographic areas should consult directly with their city or county emergency management office.

NCALM Project. PI: Gary Kocurek, University of Texas at Austin. The survey area is a rectangular polygon on the White Sands National Monument, lying west of Holloman Air Force Base NM and enclosing 47 square kilometers. This dune field has been repeatedly surveyed in June 2009 and June 2010. Publications associated with this dataset can be found at NCALM's Data Tracking Center

NCALM Seed Project. PI: Ryan Ewing, University of Texas at Austin. The survey area is a 47 square kilometer rectangular polygon of sand dunes at White Sands National Monument. The survey area is located 25 miles west of Alamogrodo, NM.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

PI: Dr. Paola Passalacqua, University of Texas, Austin
The requested survey area consisted of a polygon located over downtown Austin, TX, and the surrounding area. The polygon encloses approximately 157 km² (60.5 mi²). The survey took place on June 12–13, 2015 (DOY 163 & 164) following flooding in Central Texas in late May, 2015.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

description: This data set contains elevation data derived from a lidar survey approximately 300m wide of the Gulf of Mexico shoreline in the Northeast Lake Como quarter-quadrangle on Galveston Island Texas. The geographic extent of the data set is equivalent to the quarter-quadrangle plus 30 meters of overedge. The data is created by combining data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The Bureau of Economic Geology, the University of Texas at Austin owns and operates an ALTM 1225 system (serial number 99d118). This system is installed in a single engine Cessna 206 (tail number N4589U) owned and operated by the Texas State Aircraft Pooling Board. The lidar data described by this document was collected on 18 September 2002 (26102) between 20:34 and 00:08 UTC (actual data collection). Conditions on that day were low clouds at 335m Above Ground Level (AGL), haze, and occasional showers. 99d118 instrument settings for this flight were; laser pulse rate: 25kHz, scanner rate: 26Hz, scan angle: +/-20deg, beam divergence: wide, altitude: 300-490m AGL, and ground speed: 70-106kts. Three GPS base stations, 2 Ashtech and 1 Trimble 4000SSI receivers (backup), were operating during the survey. The three base stations were at the following locations: one 3.5km south of San Luis Pass, one at the Scholes International Airport Galveston, and one on the seawall at Rollover Pass. This data set consists of 1687100 records of x,y, and z values. The data set was generated from a larger data set and includes all valid points within the requested geographic bounds.; abstract: This data set contains elevation data derived from a lidar survey approximately 300m wide of the Gulf of Mexico shoreline in the Northeast Lake Como quarter-quadrangle on Galveston Island Texas. The geographic extent of the data set is equivalent to the quarter-quadrangle plus 30 meters of overedge. The data is created by combining data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The Bureau of Economic Geology, the University of Texas at Austin owns and operates an ALTM 1225 system (serial number 99d118). This system is installed in a single engine Cessna 206 (tail number N4589U) owned and operated by the Texas State Aircraft Pooling Board. The lidar data described by this document was collected on 18 September 2002 (26102) between 20:34 and 00:08 UTC (actual data collection). Conditions on that day were low clouds at 335m Above Ground Level (AGL), haze, and occasional showers. 99d118 instrument settings for this flight were; laser pulse rate: 25kHz, scanner rate: 26Hz, scan angle: +/-20deg, beam divergence: wide, altitude: 300-490m AGL, and ground speed: 70-106kts. Three GPS base stations, 2 Ashtech and 1 Trimble 4000SSI receivers (backup), were operating during the survey. The three base stations were at the following locations: one 3.5km south of San Luis Pass, one at the Scholes International Airport Galveston, and one on the seawall at Rollover Pass. This data set consists of 1687100 records of x,y, and z values. The data set was generated from a larger data set and includes all valid points within the requested geographic bounds.

PI: Dr. Paola Passalacqua, University of Texas, Austin
The requested survey area consisted of a polygon located over downtown Austin, TX, and the surrounding area. The polygon encloses approximately 157 km² (60.5 mi²). The survey took place on June 12-13, 2015 (DOY 163 & 164) following flooding in Central Texas in late May, 2015.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

This dataset provides a map that shows contours for likely flood extent related to elevation within a watershed. The files were generated using a commonly accepted approach to terrain-based analyses for determining flood extent, called Height Above Natural Drainage (HAND), to analyze terrain information in the dataset . The complete 126 file set includes watersheds based on the national HUC-12 (Hydrologic Unit Code). Files are named using the unique HUC-12 code identifier used by the US Geological Survey (https://water.usgs.gov/GIS/huc.html). Each datafile is formatted as a raster GeoTIFF derived from 1-meter LIDAR https://tnris.org/stratmap/elevation-lidar/ Datasets were generated using the HAND-TauDEM workflow that can be accessed publicly in a github repository at https://github.com/dhardestylewis/HAND-TauDEM Files were processed using open-source software, including TauDEM and Python GIS libraries. Data was discretized in one foot intervals (1 ft ~= 0.3048 m) in order to reduce file size (see separate dataset for raw Height Above Nearest Drainage).

This data set contains geolocated surface elevation measurements captured over Antarctica using the Sigma Space Mapping Photon Counting Lidar and Riegl Laser Altimeter. The data were collected by scientists working on the International Collaborative Exploration of the Cryosphere through Airborne Profiling (ICECAP) project, which was funded by the National Science Foundation (NSF), the Antarctic Climate and Ecosystems Collaborative Research Center, and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.

This lidar point data set was collected during low tide conditions along an approximately 500-700 meter wide strip of the Southern California coastline within an area extending south from Long Beach to the US/Mexico border. Data were collected in Los Angeles, Orange and San Diego counties from south of the Downtown Long Beach Marina in Long Beach, California to north of Oceanside on March 28, 2007 between 18:54 and 22:01 UTC. Data were collected in Orange and San Diego counties from south of Dana Point to south of the United States-Mexico border near Playas de Tijuana, Baja California, Mexico on March 29, 2007 between 19:08 and 22:00 UTC. Data set features include water, beach, cliffs, and top of cliffs. The all points data set contains the complete point cloud of first and last return elevation and laser intensity measurements recorded during the spring 2007 airborne lidar survey conducted semi-annually by the University of Texas at Austin for the Southern California Beach Processes Study. The data set was generated by the processing of laser range, scan angle, and aircraft attitude data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 system and geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. Instrument settings and parameters during survey were: Nominal on-ground beam diameter: 25 cm Pulse rate: 25 kHz Maximum number of returns recorded: 2 Minimum separation between detected returns from a single pulse: 4.3 m Laser wavelength: 1064 nm Frequency of GPS sampling: 1 Hz Frequency of IMU sampling: 50 Hz; Scan angle: +/- 20 degrees Nominal height of instrument above ground: 1100 m Nominal single-swath pulse density: 2 m Nominal aggregate pulse density: 0.75 Nature of vertical control: Kinematic and static GPS points

description: This data set contains lidar point data (UTM, Zone 11) from a strip of Southern California coastline (including water, beach, cliffs, and top of cliffs) from Long Beach to the US/Mexico border. The data set was created by combining data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The Bureau of Economic Geology, the University of Texas at Austin owns and operates an ALTM 1225 system (serial number 99d118). The system was installed in a twin engine Partenavia P-68 Observer (tail number N6602L) owned and operated by Aspen Helicopter, Inc. The lidar data set described by this document was collected on 18 and 19 October 2005; Julian Days 29105 and 29205 (see Lineage, Source_Information, Source_Contribution for pass information). 99d118 instrument settings for these flights were; laser pulse rate: 25kHz, scanner rate: 26Hz, scan angle: +/- 20deg, beam divergence: narrow, altitude: 300-600m AGL, and ground speed: 95-120kts. Four GPS base stations, Seal Beach and San Onofre on 29105 and Point Loma and Scripps Pier on 29205 (see Lineage, Source_Information, Source_Contribution for coordinates), operated during the survey. Data represented is all points including terrain, vegetation, and structures. This data also contains returns from the water surface. No processing has been done to remove returns from terrain, vegetation, structures or water surfaces.; abstract: This data set contains lidar point data (UTM, Zone 11) from a strip of Southern California coastline (including water, beach, cliffs, and top of cliffs) from Long Beach to the US/Mexico border. The data set was created by combining data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The Bureau of Economic Geology, the University of Texas at Austin owns and operates an ALTM 1225 system (serial number 99d118). The system was installed in a twin engine Partenavia P-68 Observer (tail number N6602L) owned and operated by Aspen Helicopter, Inc. The lidar data set described by this document was collected on 18 and 19 October 2005; Julian Days 29105 and 29205 (see Lineage, Source_Information, Source_Contribution for pass information). 99d118 instrument settings for these flights were; laser pulse rate: 25kHz, scanner rate: 26Hz, scan angle: +/- 20deg, beam divergence: narrow, altitude: 300-600m AGL, and ground speed: 95-120kts. Four GPS base stations, Seal Beach and San Onofre on 29105 and Point Loma and Scripps Pier on 29205 (see Lineage, Source_Information, Source_Contribution for coordinates), operated during the survey. Data represented is all points including terrain, vegetation, and structures. This data also contains returns from the water surface. No processing has been done to remove returns from terrain, vegetation, structures or water surfaces.

NCALM Seed. PI: Kenneth Befus, University of Texas at Austin. The survey area consisted of a rectangular polygon on the Solfatara Plateau within Yellowstone National Park, WY. The polygon encloses about 56 square km. The survey required 2 flights due to smoke from a wildfire that cut the first flight short: the first took place on August 25, 2012 and the second on September 3, 2012.

There was no metadata record provided along with this data set. Much of the information in this record, has been gleaned from the metadata record for a data set from this same project, for data collected in March of 2006. The minimal amount of known information that is specific to this data set has been included in this record where possible. This lidar point data set was collected during low tide conditions along an approximately 500-700 meter wide strip of the Southern California coastline within an area extending south from Long Beach to the US/Mexico border. Data were collected in Los Angeles, Orange and San Diego counties in October 2006. Data set features include water, beach, cliffs, and top of cliffs. The all points data set contains the complete point cloud of first and last return elevation and laser intensity measurements recorded during the fall 2006 airborne lidar survey conducted semi-annually by the University of Texas at Austin for the Southern California Beach Processes Study. Data represented is all points including terrain, vegetation, and structures. This data also contains returns from the water surface. No processing has been done to remove returns from terrain, vegetation, structures, or water surfaces. The data set was generated by the processing of laser range, scan angle, and aircraft attitude data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The system was installed in a twin engine Partenavia P-68 (tail number N3832K) owned and operated by Aspen Helicopter, Inc. The lidar data set described by this document was collected in October of 2006. The 99d118 instrument settings for these flights were: laser pulse rate: 25 kHz scanner rate: 26 Hz, scan angle: +/- 20 deg beam divergence: narrow altitude: 300-600m AGL ground speed: 95-120kts

The present dataset is part of the published scientific paper Zhao C, Weng Q, Hersperger A M. Characterizing the 3-D urban morphology transformation to understand urban-form dynamics: a case study of Austin, Texas, USA. Landscape and urban planning, 2020, 203:103881. The overall objective of this paper is to understand urban form dynamics in the Austin metropolitan area for the periods 2006–2011 and 2011–2016. The study also aims to understand to what extent the changes in the built environment (in terms of ‘efficient growth’ versus ‘inefficient growth’) from the 1990s to 2016 in the Austin metropolitan area corresponded with ‘compact and efficient growth’ planning policy documents. The UMT distribution can be found in the paper. The area of transitioning UMT was provided in Table 2 and Table 3 can be found in the Appendix of the paper. A protocol was developed to perform the content analysis of the strategic plans and gather the data. The detailed list of protocol items can be found in Appendix B of the paper. This study demonstrates the advantage of applying Lidar data to characterize 3-D urban morphology type (UMT) transition and understand its dynamics, which helps develop a comprehensive understanding of the urbanization process and provides a tool for planning intentions and policies evaluation on urban development over time. The UMT maps can be found in Appendix A of the paper. The Lidar point datasets and the 30 × 30 m National Land Cover Database (NLCD) are the two main data sources of UMT mapping. Lidar datasets were gathered from different projects that had been conducted and collected by state agencies and other organizations between 2007 and 2017. Table A1 in the appendix in the paper shows the accuracies and acquisition parameters of the Lidar projects from 2007 to 2017. Land use/cover dynamics in Austin metropolitan area dataset provides Land use/cover patterns in the years 1992, 2001, 2004, 2006, 2008, 2011, 2013, 2016 with a spatial resolution of 30 meters. Since NLCD 1992 used a different classification system for the urban land classes, we first reclassified the NLCD 1992 using a customized Arcpy package.

This lidar point data set was collected during low tide conditions along an approximately 500-700 meter wide strip of the Southern California coastline within an area extending south from Long Beach to the US/Mexico border. Data were collected in Los Angeles, Orange and San Diego counties from south of the Downtown Long Beach Marina in Long Beach, California to Leucadia on March 8, 2009 between 19:56 and 22:59 UTC. Data were collected in Orange and San Diego counties from south of Dana Point to north of La Jolla on March 9, 2009 between 21:27 and 23:48 UTC. Data were collected in San Diego County from south of Del Mar to south of the United States-Mexico border near Playas de Tijuana, Baja California, Mexico on March 10 between 21:32 and 22:32 UTC. Data set features include water, beach, cliffs, and top of cliffs. The all points data set contains the complete point cloud of first and last return elevation and laser intensity measurements recorded during the spring 2009 airborne lidar survey conducted semi-annually by the University of Texas at Austin for the Southern California Beach Processes Study. The data set was generated by the processing of laser range, scan angle, and aircraft attitude data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 system and geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. Instrument settings and parameters during survey were: Nominal on-ground beam diameter: 25 cm Pulse rate: 25 kHz Maximum number of returns recorded: 2 Minimum separation between detected returns from a single pulse: 4.3 m Laser wavelength: 1064 nm Frequency of GPS sampling: 1 Hz Frequency of IMU sampling: 50 Hz; Scan angle: +/- 20 degrees Nominal height of instrument above ground: 1100 m Nominal single-swath pulse density: 2 m Nominal aggregate pulse density: 0.75 Nature of vertical control: Kinematic and static GPS points

NCALM Seed. PI: Lindsay Olinde, University of Texas at Austin. The survey area consists of an irregular polygon located 15 km west of the small paved airstrip at Hite, Utah. Lidar data were collected to quantify the evolution and stability of coarse alluvial channels draining from the Henry Mountains. Publications associated with this dataset can be found at NCALM's Data Tracking Center

description: This data set contains lidar point data (Geodetic Coordinates) from a strip of Southern California coastline (including water, beach, cliffs, and top of cliffs) from Dana Point to La Jolla. The data set was created by combining data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The Bureau of Economic Geology, the University of Texas at Austin owns and operates an ALTM 1225 system (serial number 99d118). The system was installed in a twin engine Partenavia P-68 (tail number N3832K) owned and operated by Aspen Helicopter, Inc. The lidar data set described by this document was collected on 2 April 2004 between 19:14 and 21:20 UTC. Julian Day 09304 (see Lineage, Source_Information, Source_Contribution for pass information). Conditions on 4 April were low clouds at 2500-3000 ft and lower over La Jolla. 99d118 instrument settings for these flights were; laser pulse rate: 25kHz, scanner rate: 26Hz, scan angle: +/- 20deg, beam divergence: narrow, altitude: 300-600m AGL, and ground speed: 95-120kts. Two GPS base stations were operating during each day of the survey, Point Loma and San Onofre on 08306 and Seal Beach and San Onofre on 08406 (see Lineage, Source_Information, Source_Contribution for coordinates). Data represented is all points including terrain, vegetation, and structures. This data also contains returns from the water surface. No processing has been done to remove returns from terrain, vegetation, structures or water surfaces.; abstract: This data set contains lidar point data (Geodetic Coordinates) from a strip of Southern California coastline (including water, beach, cliffs, and top of cliffs) from Dana Point to La Jolla. The data set was created by combining data collected using an Optech Inc. Airborne Laser Terrain Mapper (ALTM) 1225 in combination with geodetic quality Global Positioning System (GPS) airborne and ground-based receivers. The Bureau of Economic Geology, the University of Texas at Austin owns and operates an ALTM 1225 system (serial number 99d118). The system was installed in a twin engine Partenavia P-68 (tail number N3832K) owned and operated by Aspen Helicopter, Inc. The lidar data set described by this document was collected on 2 April 2004 between 19:14 and 21:20 UTC. Julian Day 09304 (see Lineage, Source_Information, Source_Contribution for pass information). Conditions on 4 April were low clouds at 2500-3000 ft and lower over La Jolla. 99d118 instrument settings for these flights were; laser pulse rate: 25kHz, scanner rate: 26Hz, scan angle: +/- 20deg, beam divergence: narrow, altitude: 300-600m AGL, and ground speed: 95-120kts. Two GPS base stations were operating during each day of the survey, Point Loma and San Onofre on 08306 and Seal Beach and San Onofre on 08406 (see Lineage, Source_Information, Source_Contribution for coordinates). Data represented is all points including terrain, vegetation, and structures. This data also contains returns from the water surface. No processing has been done to remove returns from terrain, vegetation, structures or water surfaces.

This dataset includes shorelines from 151 years ranging from 1850 to 2001 for the Texas east coastal region from Sabine Pass at the Louisiana border to Aransas Pass at the southern end of San Jose Island. Shorelines were compiled from topographic survey sheets, also known as T-sheets (National Oceanic and Atmospheric Administration (NOAA)), aerial photographs (Bureau of Economic Geology, The University of Texas (UT BEG) at Austin), and lidar data (United States Geological Survey/National Aeronautics & Space Administration and UT BEG). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the U.S. Geological Survey's (USGS) National Assessment of Shoreline Change Project. Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates. . Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline changes. To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project. There is no widely accepted standard for analyzing shoreline change. Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments. The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast. The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner. .

This airborne lidar dataset covers a 68 x 1.5 km corridor along the northwest-trending central-western sections of the Agua Blanca Fault (ABF) in northern Baja California, Mexico. The ABF accommodates right-lateral Pacific-North American plate boundary deformation across the Peninsular Ranges of Baja California between the western escarpment of the Gulf of California and the Pacific coast. The data were collected by the National Center for Airborne Laser Mapping (NCALM); collection was jointly financed by Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin (UTA) and the Earth Sciences Division of the Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California (CICESE). Project PI’s were Jose Romo, John Fletcher and Alejandro Hinojosa of CICESE and Whitney Behr and Peter Gold of UT Austin.

Publications associated with this dataset can be found at NCALM's Data Tracking Center

description: Decks feature class is created to assist in City of Austin planning activities. Decks are created from heads up digitizing using 2012/2013 Orthoimagery and 2012 Lidar where Orthoimagery is not available. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the Communications and Technology Department for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.; abstract: Decks feature class is created to assist in City of Austin planning activities. Decks are created from heads up digitizing using 2012/2013 Orthoimagery and 2012 Lidar where Orthoimagery is not available. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the Communications and Technology Department for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.