| I. Goal  To learn to use tools 
		available in the ArcMap Spatial and 3D Analyst extensions, as 
		they apply to digital elevation models and rasters derived from them, to 
		answer some simple questions and produce attractive maps. II. Problem  What does Antarctica look like beneath the ice?  A continent of 
		mountain ranges, deep valleys, plains, inland seas, offshore islands and 
		the like exists there, for the most part invisible but for a few 
		features that protrude above the ice.  Wouldn’t it be nice to have 
		a topographic map in shaded relief of Antarctica without the ice and 
		with oceans filling areas that are below sea level?  Wouldn’t it be 
		even nicer to have such a map that accounted for the isostatic rise of 
		the land surface that would occur after the weight of the ice was 
		removed?  What would the continent look like if sea level rose by 
		an amount equal to the volume of the water locked up in ice?  How 
		much ice is there?  Digital data are available to make such maps 
		and answers these questions, as is software to do so.  Let’s have a 
		crack at it! III. Data Data for today’s lab came from two web sources: 
        The Antarctic
        
		BEDMAP project  The Scientific Committee on Antarctic Research (SCAR)
        Antarctic Digital Database, 
		version 3 (ADD v.3).   BEDMAP provides rasters of Antarctic bedrock elevation and adjacent 
		ocean floor bathymetry, of Antarctic ice thickness, and of Antarctic 
		surface elevations. These rasters are provided in ESRI “Grid” format, 
		ready for immediate use! 
 ADD v.3 is the source of 1:5,000,000 scale vector files that define the 
		coastline of the continent and its ice shelves, areas of rock outcrop, 
		glacial flow lines and point features with names. These data are stored 
		in ESRI coverages, also ready for immediate use.   Metadata 
		describing how the data were created are available at the web sites and 
		within metadata files viewable in ArcCatalog.
 N.B.  The SCAR and BEDMAP data used in this lab are 
		not the most current versions.  Downloads from the links above will 
		provide such, but not at scale of 1:5,000,000.  This lab is written 
		to use the older data sets, which are provided through a link below. Data are stored in folders and sub-folders with the following formats 
		and file names: 
        5 km x 5 km Raster Grid Files:
          bed_elev – a raster of orthometric elevations (see 
			the metadata for a description of the vertical datum) for Antarctica 
			bedrock and the surrounding ocean floor. ice_thick – a raster of ice thickness for Antarctic 
			ice sheets and ice shelves.surf_elev – a raster of orthometric surface 
			elevations of Antarctica.
Coverages (scale 1:5,000,000): 
        
          coast05 – a polygon coverage of Antarctica and the 
			permanent ice shelves.cont05 – an arc coverage showing 500 meter contours 
			of elevation.gflow05 – an arc coverage of flow lines for ice 
			streams and glaciers.rock05 – a polygon coverage of rock outcroppings
Shapefile:
          SouthPole.shp – a point shapefile that contains the 
			location of the South Pole.
Layer file:
          For your convenience, vector data have been grouped, symbolized, 
			and stored as a layer file named  
          ADD_v3_vectors_layers.lyr.  Adding this layer file to your map 
			saves having to individually load and create symbology for each of 
			the vector layer. The data sets for this exercises can be downloaded at
		
		https://webspace.utexas.edu/wg3486/geo-web-folders/helper/www/Cutting_Edge.  Copy the entire 
		"Antarctic_data" folder (zipped file, ~28 Mb) to your 
		storage space and unzip it.  Do not 
		move individual files and subfolders - the integrity of the raster data 
		will be destroyed if you do so.  If individual raster files 
		or coverages must be copied, do so with ArcCatalog, not with 
		Windows Explorer. A separate MS Word document with the questions for this exercise is 
		contained within the zipped folder. A. Spatial Reference A glance at the metadata shows that all data are stored in a Projected 
		Coordinate System (PCS) with the following parameters: 
      PCS Type: Stereographic - South PoleUnits: meters
 Latitude of Origin: -90.000000 (South Pole)
 Central Meridian: 0.00000 (Prime Meridian)
 Standard Parallel: -71.00000
 False Easting: 0.00000
 False Northing: 0.00000
 Datum: WGS84
 There is a predefined Projected Coordinate System (PCS) that matches 
		this in ArcMap (i.e. "WGS 1984 Antarctic Polar Sterographic"); one could 
		also be created by modifying an existing PCS. As practice, do this now: 
        Open a new map in ArcMap; Right-click the “Layers” Data Frame heading in the Map’s table of 
		contents (TOC);Select the Coordinate System tab;From the area showing folder icons select the coordinate system on 
		the path Predefined>Projected Coordinate Systems>Polar>South Pole 
		Stereographic. Note that the parameters of this PCS do not quite match those given 
		above. With the South Pole Stereographic projection selected, modify 
		this PCS by: 
        Clicking the Modify button;Enter a new name (e.g. SCAR Antarctic Projection)Select Stereographic_South_Pole from the drop-down menu of the 
		Projection name;Edit the Standard_Parallel_1 to read -71.000000.Click OK and then the “Add to Favorites” button to make this PCS 
		readily available for later use. If you can’t get this to work, simply loading any of the Antarctic data 
		into ArcMap will also set the PCS, as the Data Frame will take on the 
		coordinate system of the first file loaded and project everything else 
		with a different PCS on-the-fly (in this case all data have the same PCS 
		so on-the-fly projection is not needed). The PCS could also be imported 
		from one of the data files using the “Import...” button in the 
		Coordinate System tab of the Data Frame Properties. IV. Procedure The procedure we will follow involves the following general steps: 
        Create color, shaded relief maps of Antarctica and of Antarctic 
		bedrock elevations. The bedrock elevation data we have includes offshore 
		bathymetry that we would like to remove (or mask, i.e. hide), and both 
		data sets need to be rendered with color ramps to show elevation.Render Antarctic bedrock regions presently below sea level in blue. 
		Use the raster calculator to construct a binary raster which can be 
		symbolized as blue or transparent and overlain on the bedrock elevation 
		map. We’ll also create a zero elevation contour line from the bedrock 
		elevation map to outline shorelines of the regions above sea level.Calculate bedrock topography after it has rebounded from ice 
		removal. Using the raster calculator, we will make a new bedrock 
		elevation raster that accounts for isostatic rise. A new water raster 
		will be constructed and rendered as above.Calculate the volume of water locked up in Antarctic ice sheets and 
		shelves. Use published sea level rises that result from melting of the 
		ice to make a bedrock elevation map showing water in areas that would be 
		below sea level. We begin first by exploring the data. 
      A. Explore the Data 
        Open up ArcMap and add the layer file vectors_Layers.lyr, which 
		is on the path //SCARv3/scale1-5M.  Permanent ice shelves and ice 
		tongues are in blue, land is outlined in black with no color, 
		outcropping rock is shown in yellow and South Pole is a red dot, as 
		shown below.                    
       
        
          
            
              
      Figure 1. Antarctic vector layers. 
          Add the "surf_elev" grid.  The default is a display that 
			"stretches" the elevations along a continuous grayscale "Color 
			Ramp", showing sea level (O m) as black and the highest elevations 
			as white, with the remaining 254 shades of gray representing 
			intermediate elevations.  The way in which the intermediate 
			elevations are matched to one of the 254 shades of gray is given by 
			the "Stretch Type" which can be changed through the Layer Properties 
			Symbology tab. 
          Experiment with the Stretch Type to get a feel for how the data can 
			be displayed differently in grayscale. 
      
       Figure 2. Antarctic surface elevation raster, displayed 
		with default symbology. 
        
          | Question 1: What is the resolution (in kilometers), data 
			type (integer or floating point), data depth (in bits) and number of 
			bands of this raster data sets?  Answer this question by filling 
			in the chart below: 
            
          
            
              | Raster Layer | Resolution (km) | Data Type | 
              Number of Bands | Data Depth (bits) |  
              |   |   |   |   |   |  Question 2: What are the Mean, Maximum and Minimum elevations of 
		the Antarctic continent?  Question 3: What is the Default Stretch Type when the 
		surf_elev 
      raster is first loaded? 
 |  
          Change the Symbology of the elevation raster to "Classified", 
			click the Classify... button in in the Symbology tab, set the 
			"Classification Method" to Defined Interval with an "Interval Size" 
			of 200 (this will group elevations by 200m intervals), as in the 
			Figure 3 below.  Click OK and select a "Color Ramp" from the 
			Symbology tab (tip: Color Ramp names are accessible by right 
			clicking on the color ramp and turning off the check mark next to 
			the "Graphic View" option.)  The Symbology tab should look like the 
			one shown below.   Figure 3. The classification of elevations 
		by 23 equal intervals of 200 meters.
       Figure 4. The symbology tab, with 
		elevations classified at 200 m intervals and symbolized with the 
		Elevation #2 color ramp.  Clicking on the "Label" bar will allow 
		formatting of the labels to show no decimal places, as seen in the Label 
		field above.The resulting symbolized map should look like that Figure 5 below. 
       Figure 5. Antarctic elevations, classified at 200 m 
		intervals and symbolized with the Elevation #2 color ramp.  Vector 
		layers overlie the elevation grid.This is just one of many possible ways to display the elevation raster.  
		For appearance sake it would be nice to eliminate the irregular box that 
		defines the boundary of the data regions (the area displayed in teal 
		color above, at zero elevation).  We could selective symbolized, by 
		classification, all areas of zero elevation with no color (e.g. using 
		the Exclusion button in the Classification window and excluding 0), but 
		there is a better, more permanent way! B. Spatial Analyst Extension - setting Analysis Options 
          Turn on the Spatial Analyst extension (Tools>Extensions...; 
			check the box) and display the Spatial Analyst toolbar 
			(Tools>Customize...; check the box).Before beginning any Spatial Analyst procedures always set the 
			Options.   Most functions within this extension create new grids 
			(rasters) by performing operations on old grids.  It is 
			imperative that you set a Working directory, so that these new 
			grids are saved in a place where you can retrieve them.  Lacking a 
			Working directory, they are written to the Windows temp folder, and 
			will be erased when you close your project unless you remember to 
			"Make permanent..." your temporary results!  Do not to forget to do 
			this before beginning any Spatial Analyst session.Make a folder in your Antarctic_data folder to store your new 
			elevation grids.  The folder name should be less than 13 characters 
			long, with no spaces or special characters; e.g. use the name 
			"New_Grids".
 From the Spatial Analyst toolbar drop-down menu, select 
			"Options...".and set the Working directory to your newly created 
			folder by browsing to it (See figure 6).
An Analysis mask defines a region where an analysis will be 
			performed - any raster cells outside of the analysis mask will be 
			ignored during the analysis and, upon creation of the new raster, 
			will have "no data" values.  An analysis mask can be created from an 
			existing raster (see Desktop Help, analysis mask), or a vector 
			polygon file can be used instead.  We wish to restrict our analysis 
			to the region within the coastline of Antarctica, so we'll use the 
			coast05 polygon coverage as our mask.In the Spatial Analyst Option window, use the drop down menu in 
			the Analyst mask line to set the Analyst mask to the 5m coast 
			polygon coverage.
The Analysis extent also defines the area of an analysis, 
			but when performing overlay analyses (involving more than one 
			raster) can be set so that results are restricted the region where 
			rasters overlap ("Intersection of inputs"; the default) or the 
			entire region of rasters ("Union of Inputs").  We will accept the 
			default Analysis extent, visible on the Extent Tab of the Spatial 
			Analyst Options window.The Cell size option specifies the raster cell size 
			(resolution) of any new raster created during analysis.  With 
			analyses using two or more rasters, it is always best to set this to 
			"Maximum of Inputs" (the default) so that the new raster does not 
			have cells smaller than any of the input rasters (this is the 
			conservative approach; it does not require resampling of one or more 
			of the input rasters).  Leave this set at "Maximum of Inputs". 
          
           Figure 6. Spatial Analyst Options window. C. Spatial Analyst Extension - Clipping a grid file To restrict the symbology of the elevation grid to the outline of 
		Antarctica, we will clip the existing grid to the Analysis mask set 
		above.  This will create a new grid that has elevation values only 
		within the mask: the coast line of Antarctica and its ice 
		shelves/tongues. 
        Open the Raster Calculator by clicking the drop-down menu on the 
		Spatial Analyst toolbar and selecting "Raster Calculator..." 
          
           Figure 7. The Raster Calculator, with the 
			surf_elev raster loaded. 
        
         Load the surf_elev grid by double clicking on it in the "Layers" box 
			of the Calculator.
         Click "Evaluate" and wait while a new grid is made.  Once 
			completed, the new grid file is loaded into the table of contents 
			and given the file name "Calculation".  Note the absence of zero 
			values beyond the coastline (these cells are transparent).  These 
			are now "no data" cells.  To see them (they are presently 
			transparent)  go to the Symbology tab of this new layer, click the 
			"Display NoData as" button and select a color.  The result, when 
			displayed as 9 equal intervals of elevation, will look something 
			like Figure 8. 
      
       Figure 8. The new elevation raster, showing "no data" 
		cells in gray and elevations classified into 9 equal intervals. 
          Undo what you just did (i.e. display nodata as No 
			Color) and change the symbology to show a Standard Deviations 
			Stretched Color  Ramp that is "Cyan-Light to Blue-Dark" and check 
			the "Invert" box to set the lightest colors to the highest 
			elevations. (The color ramp names - e.g. cyan-light to blue-dark 
			- are visible by right-clicking on the color ramp in the symbology 
			tab and selecting "display names".)Rename the new raster "Clipped_elev", right-click on it in the 
			table of contents, select, go to "Data" then "Make permanent..." and 
			give the file a name less than 13 character and save it to your 
			New_Grids folder. 
          This step assures that the grid has a meaningful file name 
			and is in a place where you can retrieve it.  Before this step, the 
			new grid existed in your New_Grids folder with the file name 
			"Calc1".  By "Making Permanent" you stored this file with a 
			meaningful name. D. Spatial Analyst Extension - Creating a Hillshade raster A "Hillshade" is a grayscale rendering that shows shadows and 
		highlights to produce a "shaded relief" map.  Placing a hillshade 
		behind a grid that is partially transparent makes the grid look three 
		dimensional.  To create a hillshade: 
        From the Spatial Analyst drop-down menu select "Surface 
		Analysis", then "Hillshade...".  The Input surface will be your new 
		Clipped_elev grid.  The other parameters in this window can be left 
		alone (most are self explanatory, but see the Help file on Hillshade for 
		details) except for the "Output raster" line.  
        Before clicking OK, the new raster we are about to create should 
		have a permanent name and location - call it hs_clip_elev and browse to 
		your New_Grids folder.  Now click OK.Move the new hs_clip_elev raster to the bottom of the Table of 
		Contents, symbolize it with a Stretch Type of 2 (or less) Standard 
		Deviations, turn it on, and make the Clipped_elev raster 50% 
		transparent.  The resulting map should now look something like Figure 9. 
         Figure 9. Antarctic topography, rendered with a blue 
		color ramp that is 50% transparent, with a grayscale hillshade beneath.  
		The solid light blue areas are ice shelf vector polygons with white 
		outlines that lie on top of the other layers.  Yellow similarly 
		shows rock outcroppings.
        
          | Question 4: The highest point in Antarctica is the 
			Vinson Massif (a.k.a. Mount Vinson), in the Ellsworth Mountains.  
            a) Using the surf _elev raster, find the cell that contains the 
			top of Mt. Vinson and give its latitude an longitude, in decimal 
			degrees.  Hint: The selection tools in the Selection menu 
			do not work with raster data.  Change the symbology to 
			highlight cells over 4300 and 4400 meters.  To get locations in 
			decimal degrees, you can set the display units of the Data Frame in 
			the Date Frame Properties window.b) Find the height of Mount Vinson on the internet.  What is 
			it?  Give a plausible reason why the known height doesn't match 
			the height in our DEM.
 c) What is the elevation of the cell that contains the South Pole?
 |  
      E. Spatial Analyst Extension - Antarctic Bedrock Elevations  
        Add the "bedrock_elev" raster.  This raster shows topography 
		beneath the ice and bathymetry of the sea floor to 60 degrees South 
		latitude.As above, clip this raster to the "coast05" polygon coverage.  
		"Make permanent" this new clipped raster by saving it with the name 
		clip_bed_elev to your New_Grids folder.Create a Hillshade for this new raster, as above, and save it as 
		"hs_bed_elev" into the New Grids folder.Symbolize the new raster with a color ramp; the "Precipitation" 
		ramp, inverted, works well for bright colors.  Set the display to 50% 
		transparent to allow the bedrock elevation hillshade created in step 3 
		to show below.  You should end up with something that resembles Figure 
		10. 
       Figure 10. Antarctic sub-ice bedrock topography, 
		including regions beneath the permanent ice shelves.  Cooler colors 
		are lower elevations, warmer higher. The solid black lines mark the 
		shoreline of the continent and edges of ice shelves.  Small bright 
		yellow spots mark areas of outcropping rock. 
        
          | Question 5: What are the mean, maximum and minimum 
			elevations for the continent?  Hint: Use the Symbology tab in 
			the Layer Properties for the clipped elevation raster. |  
      F. Spatial Analyst Extension - 
		Creating a binary raster What parts of the above map are below sea level, what parts above?  
		We can, of course, symbolize the raster to show this, but it can also be 
		done another way.  From the clip_bed_elev raster we'll 
		compute a binary raster; cells with values of 1 will substitute for 
		cells that are below sea level, those above sea level will be give  
		a value of "nodata".  We can then render the cells with values of 1 
		as blue (water) and nodata (land) will, by default, be transparent, 
		making the underlying clip_bed_elev 
      raster visible.  To enhance the appearance of "shorelines", we can 
		also produce and overlay a zero elevation contour. 
        To produce a binary raster, we will use a Conditional Statement in 
		the Raster Calculator.  See ArcMap Help (search on "Conditional 
		Statement") for understanding the syntax of such statements.  The 
		statement to use is con([grid]<=0,1), where [grid} is the 
		clip_bed_elev 
        raster.  Open the Raster Calculator and construct the expression
        con([bed_el_shlvs] <= 0,1) by a combination of typing and 
		clicking on the calculator buttons and layer names.  Click Evaluate.As above, "Make permanent" the new Calculation raster by saving 
		it with the name "binary_water" to the New_Grids folder.Render water areas blue, make the raster 50% transparent, and 
		move it above the clip_bed_elev raster and hillshade in the table of 
		contents. 
        
          | Question 6: Explain, in words that include "if... 
			then..", the meaning of the conditional statement used to generate 
			the binary raster in step 1. Hint:  Use ArcGIS desktop help and 
			search "conditional statement" for explanations of similar examples. |  
      G. Spatial Analyst Extension - 
		Creating a contour line 
          From the drop-down menu of the Spatial Analyst toolbar, select 
			Surface Analysis>Contour...  Set the "Input surface" to 
			clip_bed_elev, the "Contour interval" to 4400 (this will produce a 
			single contour, because the highest elevation is 4364 m), the "Base 
			contour" to 0, "Z factor" (useful when x, y units are different from 
			z units) to 1, and "Output features" to a new file name, "bed_elev_zero_contour", 
			in your Bedrock_elevation folder.  Click OK.Symbolize the new contour line in black with a 0.5 line width.  
			Order the table of contents so the contour line is visible.  
          Your result should resemble Figure 11. 
      
       Figure 11. Antarctic sub-ice 
		topography, showing regions below present sea level in blue.  A 
		suggestion of water depth is provided by the selected color ramp and 
		hillshade raster beneath.  Looks like a terrific place to go 
		fishing. H. 3D Analyst Extension - Calculating ice volume and area 
        Load the "ice_thick" raster. 
        
          | Question 7: Although you downloaded this ice thickness 
			raster, you could have created one from the files you've so far 
			worked with.  How?  Give your answer in a list of steps. Question 8: How thick is the ice at South Pole?  Where 
			(in lat./lon. decimal degrees) is the ice thickest? |  
      
         Turn on the 3D Analyst extension (Tools>Extensions... 
		check the 3D Analyst box) and display the 3D Analyst toolbar 
		(Tools>Customize... check the 3D Analyst box).Set the Layer on the 3D Analyst toolbar to ice_thickFrom the 3D Analyst drop-down menu select Surface Analysis>Area 
		and Volume...In the Area and Volume Statistics window, set the Input Surface 
		to the ice_thick raster, the Height of plane to 0, and the the Z factor 
		to 1.Click the Calculate statistics button. The resulting statistics (fig. 12) give the 2D area (plan view area), 
		the surface area (area of the irregular surface defined by the top of 
		the ice-thickness raster when the base of the ice is assumed to be 
		level, and the ice volume (2D area x sum of all cell values).  The 
		units for the results are in the units of the spatial reference, in this 
		case meters. 
        
         Figure 12. Results of ice volume calculation in 3D 
		Analyst. 
        
          | Question 9: What is the volume of the Antarctic ice 
			sheet and ice shelves/tongues, in cubic kilometers?Question 10: What is the surface area, in square kilometers, 
			of Antarctic ice?
 |  
      I. Spatial Analyst Extension - 
		Antarctic topography after ice removal and isostatic rebound 
        Like a ship lightened of its load, on some time scale melting of the 
		south polar ice cap will result in the rise ("rebound") of the 
		underlying continent. The total amount of rise can be modeled as being 
		directly proportional to the thickness of the ice and the ratio of the 
		density of the underlying mantle to that of the ice. Specifically, for 
		individual raster cells:  
          (Density of ice / Density of mantle) x (Ice thickness) = Elevation 
			change Taking:average density of ice = 0.98 g/cm3
 average density of mantle = 3.34 g/cm3
 - the density ratio of ice to mantle is thus about 0.2825.
 
 To obtain an elevation raster for the continent that includes this 
		elevation difference, we will:
 
          Multiply an ice thickness raster by 0.2825 to obtain elevation 
			change;Add the resulting raster to the bedrock elevation raster to obtain 
			isostatically compensated elevations for the Antarctic continent. Step 1 multiplies a integer raster (ice thickness) by a floating 
		point value, resulting in a floating point raster. 
        Open the raster calculator, load the ice_thick raster, enter the 
		expression [ice_thick]*0.2825, and click Evaluate.Open the raster calculator, load the newly calculated elevation 
		change raster and add to it the bedrock_elev raster; click Evaluate."Make permanent" this new raster by saving it with the name 
		bed_el_isost in your New_Grids folder.  You do not need to save the 
		result of step 1.Symbolize the new bed_el_isost raster, create and save a 
		Hillshade, create a zero elevation contour, and make a map like Figure 
		13. 
       Figure 13. DEM of Antarctica without ice after 
		isostatic rebound.  Black line is present Mean Sea Level contour. 
        
          | Question 11: How do the mean, maximum and minimum 
			elevations for the continent after isostatic rebound differ from to 
			those of the sub-ice topography before rebound (c.f. question 5)?   |  
        J. Spatial Analyst - A map of "Greenhouse Antarctica", showing the 
		effects of isostatic rebound and sea level rise Melting of the south polar ice cap, which contains for about 91.5% of 
		the ice in the world, would raise sea level by about 73 meters; melting 
		all of the ice on the planet would raise sea level by about 80.5 meters 
		(see the literature in the SL_Rise folder in the Antarctic_data folder).  
		To produce a map like
        Figure 11 that shows higher sea 
		level we must: 
            Subtract 80.5 meters from the cells of the bed_el_isost 
			raster so that elevations are relative to this higher sea level 
			(raster calculator can do this; c.f. 
			section I)Make a hillshade of this new raster.Create a binary raster of regions above and below sea level 
			(c.f. section D).Create a shoreline (i.e. zero elevation) contour (c.f.
            section E)Symbolize the results. Your final product will resemble Figure 14. 
         Figure 14. DEM of Antarctica after isostatic rebound 
		and a sea level rise of 80.5 meters.  Blue areas are below sea 
		level.  Black line is coastline/zero elevation contour relative to 
		a mean sea level that is 80.5 meters above the present level.  
		Bright yellow shows areas of present rock outcroppings; red dot is south 
		pole. 
        
          | Question 12: The USGS has calculated volumes of ice for 
			Antarctica (see the "Estimated_present.doc" file in the SL_rise 
			folder) that are substantially larger than those you calculated.  
			How much larger?  Speculate on why your results are different. |  
        
      
        
          | Map to turn in: Construct a layout of your final raster.  
			Using a color ramp of your choosing, symbolize the final raster with 
			a defined interval of 500 meters.  Your map should contain a 
			label for South Pole and an explanation that includes a color ramp 
			with corresponding elevations.  The "Results_in_PowerPoint" 
			folder contains a PowerPoint of several example layouts.  |  You're Done! |