PPT-Using a Digital Terrain Model to Analyze a Watershed in Ord

Aspen Navarro Project Manager GIS Analyst Michael Jones Assistant Project Manager GIS Analyst William Perry Project Designer GIS Analyst Outline Purpose Scope Revised Timeline. Phillip R. Owens. Associate Professor, Soil Geomorphology/. Pedology. Digital Soil Mapping. Also called predictive soil mapping.. Computer assisted production of soils and soil properties.. Digital Soil Mapping makes extensive use of: (1) technological advances, including GPS receivers, field scanners, and remote sensing, and (2) computational advances, including . in partnership with:. With support from:. NSF DUE-0903270. Prepared by:. George McLeod. Geospatial Technician Education Through Virginia’s Community Colleges (GTEVCC). Digital Terrain Models. A . digital. David Tarboton. Utah State University. dtarb@usu.edu. . http://hydrology.usu.edu/taudem. . 1. Outline. TauDEM. software. D-Infinity . flow model. Generalized flow accumulation (Flow algebra). Parallel . Exercise . 4 Overview . Online Watershed Delineation and Data Retrieval. Hydrologic Terrain Analysis. Network Analysis. The Starting Point. http://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=10109000. By: Nick . Sisco. Objectives. Delineate streams and tributaries . D. elineate watersheds. Create streamlined process for future analysis. Map outfalls remotely to compare with GPS . data. Compare watershed boundaries. Nash Mock. Location & Background. Located between Tarrant and Denton counties in North Texas. Constructed following the Rivers & Harbors Act of 1945. Built 1948-1952 by the Army Corps of Engineers. TauDEM. ). Learning Objectives. To be able to delineate watersheds as the basic hydrologic model elements from Digital Elevation Models using Geographic Information Systems tools and to use this information in Hydrologic Analyses. MADALGO – Center for Massive Data Algorithmics, a Center of the Danish National Research . Foundation. What. TerraSTREAM. is a collection of software modules for computation on very large digital terrain models.. What kinds of ideas do you want students to learn?. What kinds of ideas do you want students to learn?. Think of a topic you’ve taught. What . kinds. of things does a student need to do to show they have expertise in that topic?. Erik Neemann. 15 April 2014. Objective. Create cross sections visually similar to what is produced in RIP. Add capability to plot time-averaged data. Before. After. Notes. Code built to produce cross section of zonal wind component in Uintah Basin. How to use. Reading. . https://. pro.arcgis.com/en/pro-app/tool-reference/spatial-analyst/an-overview-of-the-hydrology-tools.htm. . Understanding. Topography defines watersheds which are fundamentally the most basic hydrologic landscape elements. . Phillip R. Owens. Associate Professor, Soil Geomorphology/. Pedology. Digital Soil Mapping. Also called predictive soil mapping.. Computer assisted production of soils and soil properties.. Digital Soil Mapping makes extensive use of: (1) technological advances, including GPS receivers, field scanners, and remote sensing, and (2) computational advances, including . Background. Surface Creation - Curved Regular Gridding. Surface Decompositions. Components: Elevation, Banking, Rutting, Crowning…. Frequency ranges. Modeling Surface Components. Compact . Terrain . *For correspondence. (e-mail: saswatkumarkar@gmail.com) Saswat Kumar Kar1,2,*, Suresh Kumar, M. SankarS. S. ShrimaliICAR-Indian Institute of Soil and Water Conservation, Dehradun 248 195, India REVIE