| 1 | # --------------------------------------------------------------------------- |
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| 2 | # This python script is an ArcGIS script that can only be run on a computer |
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| 3 | # with and ArcGIS licence and version 2.4.1 python. |
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| 4 | # This script is designed to read in .asc files and deliever rasters with |
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| 5 | # projection (GDA94z50) held in a file geodatabase (called raster) |
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| 6 | # written by Kristy Van Putten and Ross Wilson |
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| 7 | # --------------------------------------------------------------------------- |
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| 8 | |
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| 9 | # Import system modules |
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| 10 | import sys, string, os, arcgisscripting, glob, os.path |
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| 11 | |
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| 12 | # Create the Geoprocessor object |
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| 13 | gp = arcgisscripting.create() |
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| 14 | |
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| 15 | # Check out any necessary licenses |
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| 16 | gp.CheckOutExtension("spatial") |
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| 17 | |
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| 18 | # Load required toolboxes... |
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| 19 | gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Spatial Analyst Tools.tbx") |
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| 20 | gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Conversion Tools.tbx") |
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| 21 | gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Data Management Tools.tbx") |
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| 22 | gp.overwriteoutput = 1 |
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| 23 | |
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| 24 | model = 'hobart' |
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| 25 | scenario_dir="\\\\nas2\\gemd\\georisk_models\\inundation\\data\\tasmania\\" + model + "_tsunami_scenario_2009\\" |
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| 26 | output_dir = "anuga\\outputs\\" |
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| 27 | |
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| 28 | time_dir1 = '20090505_150430_run_final_0.8_58292_None_kvanputt' |
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| 29 | time_dir2 = '20090505_150517_run_final_0_58292_None_kvanputt' |
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| 30 | time_dir3 = '20090505_150711_run_final_0_58280_None_kvanputt' |
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| 31 | time_dir4 = '20090505_150805_run_final_0.8_58280_None_kvanputt' |
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| 32 | time_dir5 = '20090505_151322_run_final_0.8_64477_None_kvanputt' |
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| 33 | time_dir6 = '20090505_151447_run_final_0_64477_None_kvanputt' |
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| 34 | |
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| 35 | time_dirs = [time_dir1, time_dir2, time_dir3, time_dir4, time_dir5, time_dir6] |
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| 36 | |
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| 37 | for time_dir in time_dirs: |
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| 38 | # Local variables... |
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| 39 | folder = scenario_dir + output_dir + time_dir + '\\' |
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| 40 | raster_gbd = folder + 'raster.gdb' |
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| 41 | land_folder = scenario_dir + "ArcGIS\\data.gdb\\Land" |
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| 42 | areas = ['Hobart', 'NW', 'South'] |
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| 43 | print time_dir |
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| 44 | |
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| 45 | ## print 'Process: Create File GDB' |
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| 46 | ## gp.CreateFileGDB_management(folder, "raster") |
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| 47 | |
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| 48 | gp.Workspace = raster_gbd |
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| 49 | |
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| 50 | for area in areas: |
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| 51 | #replication dictionary |
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| 52 | replicate = (('hobart', ''), ('fitting_problem', ''), |
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| 53 | ('_', ''), ('max','_M'), ('depth','_depth'), |
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| 54 | ('speed', '_speed'), ('elevation', '_ele'), ('stage','_stage')) |
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| 55 | |
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| 56 | generate_filename = [] |
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| 57 | |
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| 58 | infile = folder + model + '_' + area + '_speed_max.asc' |
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| 59 | |
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| 60 | output_DEM = os.path.basename(infile)[:-4] |
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| 61 | for (key, rep) in replicate: |
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| 62 | output_DEM = output_DEM.replace(key,rep) |
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| 63 | output_DEM = output_DEM[:16] |
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| 64 | if output_DEM in generate_filename: |
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| 65 | print 'Output_DEM filename (%s) already in use' % output_DEM |
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| 66 | sys.exit(10) |
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| 67 | generate_filename.append(output_DEM) |
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| 68 | print 'Output DEM ',output_DEM |
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| 69 | |
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| 70 | print 'Process: ASCII to Raster' |
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| 71 | gp.ASCIIToRaster_conversion(infile, output_DEM, "FLOAT") |
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| 72 | |
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| 73 | print 'Process: Define Projection' |
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| 74 | gp.DefineProjection_management(output_DEM,"PROJCS['GDA_1994_MGA_Zone_55',GEOGCS['GCS_GDA_1994',DATUM['D_GDA_1994'" |
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| 75 | ",SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0]" |
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| 76 | ",UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator']" |
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| 77 | ",PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0]" |
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| 78 | ",PARAMETER['Central_Meridian',147.0],PARAMETER['Scale_Factor',0.9996]" |
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| 79 | ",PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]]") |
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| 80 | |
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| 81 | ## land = land_folder + '_' + area |
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| 82 | ## print 'Process: Extract by Mask' |
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| 83 | ## output_extract = output_DEM + '_E' |
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| 84 | ## print 'Output Extract ',output_extract |
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| 85 | ## gp.ExtractByMask_sa(output_DEM, land, output_extract) |
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| 86 | |
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| 87 | |
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