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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Discretized Height Above Natural Drainage (HAND)Dataset from 1-meter resolution LIDAR for Austin-Round Rock Combined Statistical Area
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...
Discretized_rasters.zip
Feb 24, 2022 - Discretized Height Above Natural Drainage (HAND)Dataset from 1-meter resolution LIDAR for Austin-Round Rock Combined Statistical Area
ZIP Archive - 3.7 GB - MD5: 44f5957affb1cc54993fef3841409302
Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
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...
polytoraster__aashto_soil_classification__gssurgo10m_resolution.tfw
Dec 4, 2020 - Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
Plain Text - 83 B - MD5: 6bb6d23a36b16c91dd5cc4cf4433fdaf
polytoraster__aashto_soil_classification__gssurgo10m_resolution.tif
Dec 4, 2020 - Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
TIFF Image - 373.6 MB - MD5: e0f54f4b706e7c30e2a82ed6702cbda8
polytoraster__aashto_soil_classification__gssurgo10m_resolution.tif.aux.xml
Dec 4, 2020 - Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
XML - 1.7 KB - MD5: 141687304f7924e39479bf1b6d44b469
polytoraster__aashto_soil_classification__gssurgo10m_resolution.tif.ovr
Dec 4, 2020 - Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
Unknown - 125.2 MB - MD5: 9278600c21ab3ef6085f6dc73616eaea
polytoraster__aashto_soil_classification__gssurgo10m_resolution.tif.vat.cpg
Dec 4, 2020 - Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
Plain Text - 5 B - MD5: ae3b3df9970b49b6523e608759bc957d
polytoraster__aashto_soil_classification__gssurgo10m_resolution.tif.vat.dbf
Dec 4, 2020 - Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
application/x-dbf - 1.9 KB - MD5: caaba6c846e65c2b9e4a84a7f6a5b0d3
polytoraster__aashto_soil_classification__gssurgo10m_resolution.tif.xml
Dec 4, 2020 - Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
XML - 7.7 KB - MD5: 615a5ccfa65baf79c0c114fc6c55a230
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