This layer contains the 1 foot intermediate contours for the City of Round Rock. Contours are lines of elevation. Intermediate contour lines are shown between index contour lines and show an equal rate of change in elevation between index contour lines. Derived from the StratMap 2017 Central Texas Lidar Project.The project AOI (~1,340 DO4Q tiles) resides in the Central Texas region around the I-35 corridor from Williamson County to Hays County. The AOI includes metropolitan areas as well as various vegetation classifications spanning farmland to dense forest. The data acquired is part of an ongoing geospatial data collection program by the State of Texas to support regional and local mapping needs. The products acquired by this project are made available in the public domain through the Texas Natural Resources Information System (TNRIS) for use by government entities and the public.

This layer contains data for the 2 foot intermediate contours for the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock GIS/IT Department. The data in this layer are represented as lines. Contours are lines of elevation. Intermediate contour lines are shown between index contour lines and show an equal rate of change in elevation between index contour lines. The project AOI (~1,340 DO4Q) resides in the Central Texas region around the I-35 corridor from Williamson County to Hays County. The AOI includes metropolitan areas as well as various vegetation classification spanning farmland to dense forest. The data acquired is part of an ongoing geospatial data collection program by the State of Texas to support regional and local mapping needs. The products acquired by this project are made available in the public domain through the Texas Natural Resources Information System (TNRIS) for use by government entities and the public.

LIDAR data was collected in 2008 covering Bastrop, Fayette, Hays counties. Products include Point Cloud, Bare Earth, Intensity imagery, 3D breaklines, and Contour data for the entire area. This Lidar operation was designed to provide a high density set of mass points within the defined areas suitable for the development of contours for use in hydraulic/hydrologic model development, and for assessing environmental impacts. This data is made available via the Texas Natural Resource Information System. The raw LIDAR data was converted to a digital elevation model (DEM) at 1-m resolution using Lp360. This contour interval dataset was then created from the DEM using the ArcGIS Contour tool.This data is made available via the Texas Natural Resource Information System:https://tnris.org/data-catalog/entry/capcog-2008-140cm/The 2008 LIDAR data was used to describe the elevation of the study sites at the Camp Swift Fire Experiment 2014. The raw LIDAR data was converted to a digital elevation model at 1 meter resolution using Lp360. This aspect dataset was created using the ArcGIS Aspect tool. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Measurements around the three burn blocks began on January 14, 2014 and continued until shortly after completion of the three burns on January 15, 2014. The objective of the research burns was to create a dataset comprised of ground based and remote sensing measurements. Full details on the Camp Swift Fire Experiment 2014 can be accessed at through the "Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment" story map. The full set of published data is contained on the United States Department of Agriculture Forest Service Research Data Archive.

LIDAR data was collected in 2008 covering Bastrop, Fayette, Hays counties. Products include Point Cloud, Bare Earth, Intensity imagery, 3D breaklines, and Contour data for the entire area. This Lidar operation was designed to provide a high density set of mass points within the defined areas suitable for the development of contours for use in hydraulic/hydrologic model development, and for assessing environmental impacts. This data is made available via the Texas Natural Resource Information System. The raw LIDAR data was converted to a digital elevation model at 1-m resolution using Lp360. This slope dataset was created using the ArcGIS slope tool.Full details on the Camp Swift Fire Experiment 2014 can be accessed through the "Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment" story map. The full set of published data is contained on the United States Department of Agriculture Forest Service Research Data Archive.