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 | scenario_dir = "\\\\nas2\\gemd\\georisk_models\\inundation\\data\\western_australia\\busselton_tsunami_scenario\\" |
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25 | output_dir="anuga\\outputs\\" |
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26 | |
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27 | ##time_dir1 = '20081209_155610_run_final_0_27255_250m_none_lfountai' |
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28 | ##time_dir2 = '20081209_160607_run_final_0_68693_250m_none_lfountai' |
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29 | |
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30 | |
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31 | ##time_dir1 = '20081009_184721_run_final_0.6_68693_alpha0.1_kvanputt' |
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32 | time_dir2 = '20081031_120515_run_final_0_27255_alpha0.1_kvanputt' |
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33 | ##time_dir3 = '20081031_120753_run_final_0.6_27283_alpha0.1_kvanputt' |
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34 | ##time_dir4 = '20081031_120642_run_final_0_27283_alpha0.1_kvanputt' |
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35 | time_dir5 = '20081031_120316_run_final_0_68693_alpha0.1_kvanputt' |
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36 | ##time_dir6 = '20081111_113832_run_final_0.6_27255_alpha0.1_kvanputt' |
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37 | |
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38 | time_dirs = [time_dir2, time_dir5]#, time_dir3, time_dir4, time_dir5, time_dir6] |
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39 | |
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40 | for time_dir in time_dirs: |
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41 | |
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42 | # Local variables... |
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43 | folder = scenario_dir + output_dir + time_dir +'\\' |
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44 | raster_gbd = folder + 'raster.gdb' |
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45 | land = scenario_dir + "map_work\\Busselton.gdb\\Internal_polygons\\initial_conditions_extend" |
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46 | ocean = scenario_dir + "map_work\\Busselton.gdb\\input_boundaries\\Ocean" |
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47 | |
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48 | |
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49 | ## print 'Process: Create File GDB' |
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50 | ## gp.CreateFileGDB_management(folder, "raster") |
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51 | |
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52 | gp.Workspace = raster_gbd |
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53 | |
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54 | print time_dir |
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55 | |
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56 | #replication dictionary |
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57 | replicate = (('busselton', ''),('_', ''),('max','_M'), |
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58 | ('Busselton', 'Bus'),('Bunbury', 'Bun'), |
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59 | ('depth','_dep_'),('speed', '_spe_'), |
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60 | ('elevation', '_ele_'), ('stage','_stage')) |
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61 | |
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62 | generate_filename = [] |
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63 | input_ascii = glob.glob(folder + '*stage_max.asc') |
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64 | |
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65 | for infile in input_ascii: |
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66 | output_DEM = os.path.basename(infile)[:-4] |
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67 | for (key, rep) in replicate: |
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68 | output_DEM = output_DEM.replace(key,rep) |
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69 | output_DEM = output_DEM[:10] |
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70 | if output_DEM in generate_filename: |
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71 | print 'Output_DEM filename (%s) already in use' % output_DEM |
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72 | sys.exit(10) |
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73 | generate_filename.append(output_DEM) |
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74 | |
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75 | print 'Output DEM ',output_DEM |
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76 | |
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77 | print 'Process: ASCII to Raster' |
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78 | gp.ASCIIToRaster_conversion(infile, output_DEM, "FLOAT") |
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79 | |
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80 | print 'Process: Define Projection' |
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81 | gp.DefineProjection_management(output_DEM, "PROJCS['GDA_1994_MGA_Zone_50',GEOGCS['GCS_GDA_1994',DATUM['D_GDA_1994',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]]" |
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82 | ",PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0],PARAMETER['Central_Meridian',117.0],PARAMETER['Scale_Factor',0.9996]" |
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83 | ",PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]]") |
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84 | ## output_extract = output_DEM + 'E' |
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85 | ## print 'Output Extract ',output_extract |
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86 | ## print 'Process: Extract by Mask' |
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87 | ## gp.ExtractByMask_sa(output_DEM, ocean, output_extract) |
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88 | |
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89 | |
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