Texas’ population could double by the year 2050. Extreme weather events will bring more floods, more droughts, and more heat. Our state’s resources can’t support those demands. Making Texas resilient is our grand challenge.
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Feb 24, 2022 - AI-Enabled Modelling
Hardesty Lewis, Daniel; Zheng, Xing; Carruthers, Alex; Arctur, David; Pierce, Suzanne; Passalacqua, Paola, 2022, "Discretized Height Above Natural Drainage (HAND)Dataset from 1-meter resolution LIDAR for Austin-Round Rock Combined Statistical Area", https://doi.org/10.18738/T8/MOMO42, Texas Data Repository, V1
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 ana...
AI-Enabled Modelling(University of Texas at Austin)
Feb 24, 2022
Dec 4, 2020 - Burkholderia
Shensky, Michael, 2020, "Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"", https://doi.org/10.18738/T8/0NWFY9, Texas Data Repository, V1
Raster datasets extracted from the Texas gSSURGO file geodatabase. Files were processed in ArcGIS software to extract a number of different datasets, saved as individual raster datasets for ease of reuse. Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Te...
Burkholderia(University of Texas at Austin)
Nov 15, 2019
Geospatial Analysis of Environmental Suitability for Establishing Burkholderia species in Texas
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