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Unformatted text preview: GLG362/598 Geomorphology Fall, 2011 Lab 1: Landu s e and Hydrology , l e arning Ar c GIS The following lab exercises are designed to give you experience using ArcMap in order to visualize and analyze datasets that are relevant to important geomorphological/ hydrological questions. In addition to improving your technical proficiency, you will also be applying your understandings of watershed units, flow pathways, natural variability, and hydrographs. We will address the question of how landcover changes can influence watershed hydrology. Specifically, you will be exploring a case study of how landcover has changed in two watersheds in the upper Midwest ² the Des Plaines River and the Kankakee River. In class we will discuss the many variables that affect stream discharge. The many variables make it challenging to isolate the role of a single variable (e.g., landcover change). One method that geologists use is to substitute space for time. In this way, variables like topography, stream order, climate, and lithology are as comparable as possible, while a single variable like landcover, has changed in a quantifiable way. To help you set up this fair comparison, you will be guided through four sets of activities in ArcMap. Each lab session has specific deliverables that are an essential component of a final 2-page lab report that will summarize what these data sets and analyses reveal about the influence of landcover changes on watershed hydrology. A C TIVIT Y D E LIV ERABL E I . A c quiring / Vi s ualizing Data in Ar c Map Pr e s e n t a t ion Quali t y Map o f R e gion II . Manipulating Data in Ar c Map Tabl e 1: Summary S t a ts f or Hydrology III . Grid Cal c ulation Tabl e 2: Summary S t a ts f or Land c ov e r IV . Tim e S e ri e s Analy s i s Hydrograph In t e rpr e t a t ion s GLG362/598 Geomorphology Fall, 2011 Lab 1: Landu s e and Hydrology , l e arning Ar c GIS I . A C QUIRING / V ISUA LI ZING DA T A The first step in doing any GIS analysis is finding the relevant datasets and bringing them into your GIS software. While there is a lot of freely available data on the internet, it is often distributed at different resolutions, over different time intervals, and/or formatted in different file types -- always an important consideration. In geomorphology, one fundamental dataset you often need is a digital elevation model (DEM). DEMs are continuous grids that represent elevation by assigning an average (or central) elevation value to each pixel. Since these models have been interpolated in different ways and have a finite resolution, it important to understand the strengths and weaknesses of DEMs derived from different sources. weaknesses of DEMs derived from different sources....
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This note was uploaded on 03/12/2012 for the course GLG 362 taught by Professor Staff during the Fall '11 term at ASU.
- Fall '11