Post Hurricane Harvey Mapping of the Mission River, Texas 2018

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DOI: https://doi.org/10.5069/G9MG7MPD
OT Collection ID: OT.082020.6343.1
OT Collection Name: Post Hurricane Harvey Mapping of the Mission River, Texas 2018
Short Name: TX18_Guneralp, TX18_Guneralp2C, TX18_Guneralp3C
Collection Platform: Airborne Lidar
Metadata Download:
  • ISO 19115 (Data)
  • Plain Text
  • Download and Access Products:

    Point Cloud Data   Bulk Download     opentopoID: OTLAS.082020.6343.1

    Raster (C1-2)   Bulk Download     opentopoID: OTSDEM.082020.6343.1

    Raster (C1-2-3)   Bulk Download     opentopoID: OTSDEM.082020.6343.1b
    Collection Overview: NCALM logo

    This lidar dataset was collected as part of an NCALM Rapid Response Project for Inci Gunerlap at Texas A&M University. Data collection covers and area of ~69 km2 along the Mission River in Refugio, Texas after Hurricane Harvey.

    Note: this project utilized three laser channels during its data collection. Each of the returns contained on the LAS tiles are encoded with a laser channel value. The values used are 1 (1550 nm), 2 (1064 nm), and 3 (532 nm), and are stored in the "User Data" record of the Point Data records in the LAS file.

    This data collection also contains hyperspectral images that are 72 Band, 1.5 m pixel size, in PCIDSK (.PIX) format. The digital number in the PIX image corresponds to milli-SRU (spectral radiance units). One SRU is equivalent to one microwatt per square-centimeter per steradian per nanometer. Files are provided as individual flight strips as well as a single mosaic file of flight strips. These images can be downloaded here

    The pre-computed Raster products are split into two separate landing pages: C1-2, and C1-2-3.

    Pre-computed Raster C1-2 contains the following:
    • DEM from classified ground returns from Channels 1 and 2 (IR only)
    • DSM from first return from Channels 1 and 2
    Pre-computed Raster C1-2-3 contains the following:
    • DEM from classified ground and bathymetry returns from all channels
    • DSM from first returns from all channels (C1C2C3)
    • Water surface grid from point class 39
    • Bathymetry grid from point class 9


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



    Dataset Acknowledgement: Lidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM). NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-1830734.

    Dataset Citation: Guneralp, I. (2020). Post Hurricane Harvey Mapping of the Mission River, Texas 2018.. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9MG7MPD.. Accessed: 2024-04-25

    Use License: CC BY 4.0

    Dataset Keywords: lidar, texas, hurricane, harvey, Mission River, Rapid Response, hyperspectral, 532 nm, 1550 nm, 1064 nm

    Survey Date: 03/08/2018 - 03/09/2018

    Publication Date: 08/26/2020
    Data Provider and Roles:
    Funder Collector Principal Investigator
    • Inci Guneralp - Texas A&M University
    Total number of points: 3,297,558,275 pts

    Area: 68.04 km2

    Point Density: 48.46 pts/m2

    Classifications:
        Class 1 - Unclassified883,840,267
        Class 2 - Ground1,127,679,296
        Class 3 - Low Vegetation49,149,757
        Class 4 - Medium Vegetation200,612,361
        Class 5 - High Vegetation1,012,238,715
        Class 6 - Building12,406,029
        Class 9 - Water4,313,481
        Class 38 - Reserved2,964,296
        Class 39 - Reserved4,354,073

    Raster Resolution: 0.5 meter

    Coordinate System:
        Horizontal: NAD83 (2011) / UTM Zone 14N Meters [EPSG: 6343]
        Vertical: NAVD88 (GEOID 12A) [EPSG: 5703]

    Units: meter

    Survey Report: Reports

    LAS Validation Data Report: Reports
    Tile index in shapefile format: Download

    Dataset Extent in KMZ format: Download

    Dataset Spatial Bounds: North: 28.3216419921909°     South: 28.2139436642488°     East: -97.2402407259092°     West: -97.3141883455766°