source: anuga_work/production/perth/asc2raster_GDA94z50.py @ 6032

Last change on this file since 6032 was 6032, checked in by kristy, 15 years ago

general maintenance of scripts

File size: 3.8 KB
Line 
1# ---------------------------------------------------------------------------
2# This python script is an ArcGIS script that can only be run on a computer
3# with and ArcGIS licence and version 2.4.1 python.
4# This script is designed to read in .asc files and deliever rasters with
5# projection (GDA94z50) held in a file geodatabase (called raster)
6# written by Kristy Van Putten and Ross Wilson
7# ---------------------------------------------------------------------------
8
9# Import system modules
10import sys, string, os, arcgisscripting, glob, os.path
11
12# Create the Geoprocessor object
13gp = arcgisscripting.create()
14
15# Check out any necessary licenses
16gp.CheckOutExtension("spatial")
17
18# Load required toolboxes...
19gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Spatial Analyst Tools.tbx")
20gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Conversion Tools.tbx")
21gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Data Management Tools.tbx")
22gp.overwriteoutput = 1
23
24scenario_dir="\\\\nas2\\gemd\\georisk_models\\inundation\\data\\western_australia\\perth_tsunami_scenario\\"
25output_dir = "anuga\\outputs\\"
26
27
28time_dir1 = '20081031_133353_run_final_0.6_68693_alpha0.1_kvanputt'
29##time_dir2 = '20081031_133511_run_final_0_68693_alpha0.1_kvanputt'
30##time_dir3 = '20081031_133624_run_final_0_27255_alpha0.1_kvanputt'
31##time_dir4 = '20081031_133735_run_final_0.6_27255_alpha0.1_kvanputt'
32##time_dir5 = '20081031_133841_run_final_0_27283_alpha0.1_kvanputt'
33##time_dir6 = '20081031_133925_run_final_0.6_27283_alpha0.1_kvanputt'
34
35
36time_dirs = [time_dir1]#, time_dir2, time_dir3, time_dir4, time_dir5, time_dir6]
37
38for time_dir in time_dirs:
39
40    # Local variables...
41    folder =  scenario_dir + output_dir + time_dir + '\\'
42    raster_gbd = folder + 'raster.gdb'
43    land = scenario_dir + "map_work\\Perth.gdb\\poly_all_cut"
44   
45    # Process: Create File GDB...
46    #gp.CreateFileGDB_management(folder, "raster")
47
48    gp.Workspace = raster_gbd
49
50    #print gp.Workspace
51   
52    #replication dictionary
53    replicate = (('perth', ''),('time_39900_0', 'b'), ('time_79800_0', 'c'),
54                 ('_', ''),('Geordie', 'Geo'),('Sorrento', 'Sor'), ('max','M_'),
55                 ('Fremantle', 'Fre'),('Rockingham', 'Roc'),('depth','_dep_'),
56                 ('speed', '_spe_'), ('elevation', '_ele_'), ('stage','_sta_'))
57
58    generate_filename = []
59    input_ascii = glob.glob(folder + '*elevation.asc')
60
61    for infile in input_ascii:
62        output_DEM = os.path.basename(infile)[:-4]
63        for (key, rep) in replicate:
64            output_DEM = output_DEM.replace(key,rep)
65        output_DEM = output_DEM[:10]
66        if output_DEM in generate_filename:
67            print 'Output_DEM filename (%s) already in use' % output_DEM
68            sys.exit(10)
69        generate_filename.append(output_DEM)
70        print 'Output DEM ',output_DEM
71        output_extract = output_DEM + 'E'
72        print 'Output Extract ',output_extract
73       
74        print 'Process: ASCII to Raster'
75        gp.ASCIIToRaster_conversion(infile, output_DEM, "FLOAT")
76
77        print 'Process: Define Projection' 
78        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]]"
79                                                   ",PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0],PARAMETER['Central_Meridian',117.0],PARAMETER['Scale_Factor',0.9996]"
80                                                   ",PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]]")
81
82##        print 'Process: Extract by Mask'
83##        gp.ExtractByMask_sa(output_DEM, land, output_extract)
84
85
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