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WGS_1984_Web_Mercator_Auxiliary_Sphere
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dataset
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housing_unit_density_img
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The purpose of the Texas Wildfire Hazard Assessment (TxWRAP) is to provide foundational information about wildfire hazard across all land ownership in the state of Texas. Such information supports fuel management planning decisions, as well as revisions to land and resource management plans. A wildfire hazard assessment is a quantitative analysis of potential impacts by wildfire.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This spatial dataset was produced with the Wildfire Exposure Simulation Tool (WildEST), a cloud-based geospatial fire behavior characteristic simulation system. WildEST performs multiple deterministic simulations under a range of weather types (wind speed, wind direction, fuel moisture content) and weights those results based on weather type probabilities (WTP).</SPAN></P><P><SPAN STYLE="font-weight:bold;">This dataset represents the smoothed number of housing units per pixel. It is created using the Integrated Building Density Dataset (created from 3D Builings and USA Structures) and the U.S. Census Bureau redistricting housing unit dataset and the U.S. Census Bureau group housing dataset. The population is allocated to the buildings at a block level and smoothed with a 200 m buffer. It removes buildings on water and ice, smaller than 40 sqm, or less than 0.1 HU/kmsq.</SPAN></P></DIV></DIV></DIV>
Primary data contact: Texas A&M Forest Service, Forest Resource Protection Division, Applied Technology Department. Send an email to TxWRAP-Support@tfs.tamu.edu for inquires. Visit www.TexasWildfireRisk.com for additional information.
This dataset was developed for the Texas Wildfire Risk Assessment by Pyrologix LLC (www.pyrologix.com), a subsidiary of Vibrant Planet (www.vibrantplanet.net).
WildEST
Wildfire Exposure Simulation Tool
TWRA
Texas Wildfire Risk Assessment
TxWRAP
Texas Wildfire Risk Assessment Portal
TFS
TAMFS
Texas A&M Forest Service
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The user must be aware of data conditions and must ultimately bear responsibility for the appropriate use of the information with respect to possible errors, possible omissions, map scale, data collection methodology, data currency, and other conditions specific to certain data.</SPAN></P></DIV></DIV></DIV>
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