Difference between revisions of "Visualizing a land cover map of Fort Ord, California"

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== Outcomes ==
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#Redirect [[Tarsier tutorial: Rendering symbols from rasters]]
*Render Fort Ord in a 3d realistic virtual reality
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*Use your land cover map to populate the visualization with trees and shrubs where appropriate, and at a density dictated by your % green cover map
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== Prerequisites ==
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*[[Tarsier Installation|Download and install Tarsier]]
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'''Data'''
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*Fort Ord land cover map derived from Landsat (and associated land cover metadata)
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*Fort Ord % green cover derived from Landsat
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*DEM (download from USGS - http://seamless.usgs.gov/index.php)
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*NAIP imagery (also download from USGS)
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== Recomended Reading ==
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[[Tarsier tutorial: Raster data]]
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[[Tarsier tutorial: Raster resampler]]
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[[Tarsier tutorial: Renderer]]
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[[Tarsier tutorial: Simple fly-through]]
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== Intorduction ==
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In your remote sensing class (external link perhaps?) you have developed and ground truthed a land cover map. . .
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== Simplify the land cover map ==
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Your land cover map has too many classes for our purposes.  We will want to reclassify the map distilling the classes down to just three: trees, shrubs, and other.  This process could be done in other programs as well, but here is how it is done in Tarsier:
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# Open Tarsino
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# Open your Fort Ord land cover map:
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## ->File ->Open
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## Navigate to your land cover map and double click the file
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# Open the Raster Lookup tool:
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## ->File ->New ->Tools ->Raster Lookup
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# Load the land cover map into the Raster Lookup
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## In the Raster Lookup view, use the drop down box next to '''Input Raster:''' to select your land cover map
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# Click the '''Find Values''' button
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# To the right of '''Lookup Table Data:''', click the '''View''' button.  This will display a table with a column, '''Input''', for all the values from the input raster (your land cover map) and another column, '''Output''', that will dictate the new values for the reclassified map.
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# Reclassify the map. 
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## Right now the "Output" column is filled with "-9999" which is the default null value.  This will be the value of your "Other" class.
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## For any input value that you think represent forest or trees, edit the corresponding output value by typing a "1" into the cell.
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## For any input value that you think represent shrubs or chaparral, give the output value a "2".
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# After you have finished editing the table, click the '''Execute''' button on the Raster Lookup view.
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# View and save your reclassified raster
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## To the right of '''Output Raster 0:''' click the '''View''' button
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## Save the raster:  With the Raster View window active, ->File ->Save As. . .  Save your raster to an apropriate location.  Tarsino will recognise file names up to 255 characters (no spaces), so name your file something informative like "'Original file name'_ReclassifiedTo.Trees.Shrubs.Other.'yymmdd'.tra".
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== Creating Raster Symbol Scheme ==
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The reclassified map has three classes, one of which is null (Other).  You now need to let Tarsier know how you want the non-null classes to be visually represented in a render.  One way to do this is to create a [[Tarsier: Raster Symbol Scheme|symbol scheme]].
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# Export your reclassified map to a Raster Symbol Scheme
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## Make sure your the raster view window is active, if not click on it
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## ->Raster ->Export to RasterSymbolScheme (This should open a new view window)
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# In the RasterSymbolScheme view you will see a list of all the non-null values from your reclassified raster.  Click on '''unnamed 1''' to edit its properties
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## Recall that the value "1" is to represent trees, so in the box next to '''Tag''' type Trees
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## Set the '''Max Height''' to something reasonable for a Fort Ord tree, maybe 7
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## Click '''Load Texture''' and navigate to your Oak.bmp
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## Set the '''Transparent Color''' bar to the background color of the *.bmp file to make it transparent
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# Similarly edit the properties for the shrub class (unnamed 2)
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== Visualizing Fort Ord with the Renderer ==
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# Open the [[Tarsier: Renderer| Renderer]]
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## ->File ->New ->Data Views ->Render view
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Latest revision as of 21:32, 20 November 2009