source: anuga_work/production/carnarvon/Arc_asc2raster_GDA94z49.py @ 6741

# ---------------------------------------------------------------------------
# This python script is an ArcGIS script that can only be run on a computer
# with and ArcGIS licence and version 2.4.1 python.
# This script is designed to read in .asc files and deliever rasters with
# projection (GDA94z50) held in a file geodatabase (called raster)
# written by Kristy Van Putten and Ross Wilson
# ---------------------------------------------------------------------------

# Import system modules
import sys, string, os, arcgisscripting, glob, os.path

# Create the Geoprocessor object
gp = arcgisscripting.create()

# Check out any necessary licenses
gp.CheckOutExtension("spatial")

# Load required toolboxes...
gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Spatial Analyst Tools.tbx")
gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Conversion Tools.tbx")
gp.AddToolbox("C:/Program Files/ArcGIS/ArcToolbox/Toolboxes/Data Management Tools.tbx")
gp.overwriteoutput = 1

scenario_dir = "\\\\nas2\\gemd\\georisk_models\\inundation\\data\\western_australia\\carnarvon_tsunami_scenario\\"
output_dir="anuga\\outputs\\"

##time_dir1 = '20081209_155247_run_final_0_27255_250m_none_lfountai'
##time_dir2 = '20081209_161626_run_final_0_68693_250m_none_lfountai'
##time_dirs = [time_dir1, time_dir2]


##time_dir1 = '20081202_084220_run_final_1_27283_alpha0.1_kvanputt'
##time_dir2 = '20081202_084202_run_final_1_27255_alpha0.1_kvanputt'
##time_dir3 = '20081202_084132_run_final_1_68693_alpha0.1_kvanputt'
time_dir4 = '20081202_084025_run_final_0_68693_alpha0.1_kvanputt'
time_dir5 = '20081202_083932_run_final_0_27255_alpha0.1_kvanputt'
##time_dir6 = '20081201_103449_run_final_0_27283_alpha0.1_kvanputt'
##
time_dirs = [time_dir4, time_dir5] #, time_dir3, time_dir4, time_dir5, time_dir6]

for time_dir in time_dirs:

    # Local variables...
    folder = scenario_dir + output_dir + time_dir + '\\'
    raster_gbd = folder + 'raster.gdb'
    land = scenario_dir + "map_work\\Carnarvon.gdb\\land_initial_condition_all"
    ocean = scenario_dir + "map_work\\Carnarvon.gdb\\ocean_initial_condition"
    
##    print 'Process: Create File GDB'
##    gp.CreateFileGDB_management(folder, "raster")

    gp.Workspace = raster_gbd

    print time_dir
    
    #replication dictionary
    replicate = (('carnarvon', ''),#('time_39900_0', 'b'), ('time_79800_0', 'c'),
                 ('_', ''), ('max','_M'), ('depth','_dep_'),
                 ('speed', '_speed_'), ('elevation', '_ele_'), ('stage','_stage'))

    generate_filename = []
    input_ascii = glob.glob(folder + '*stage_max.asc')

    for infile in input_ascii:
        output_DEM = os.path.basename(infile)[:-4]
        for (key, rep) in replicate:
            output_DEM = output_DEM.replace(key,rep)
        output_DEM = output_DEM[:10]
        if output_DEM in generate_filename:
            print 'Output_DEM filename (%s) already in use' % output_DEM
            sys.exit(10)
        generate_filename.append(output_DEM)
        print 'Output DEM ',output_DEM
       
        print 'Process: ASCII to Raster'
        gp.ASCIIToRaster_conversion(infile, output_DEM, "FLOAT")

        print 'Process: Define Projection' 
        gp.DefineProjection_management(output_DEM,"PROJCS['GDA_1994_MGA_Zone_49',GEOGCS['GCS_GDA_1994',DATUM['D_GDA_1994'"
                                       ",SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0]"
                                       ",UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator']"
                                       ",PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0]"
                                       ",PARAMETER['Central_Meridian',111.0],PARAMETER['Scale_Factor',0.9996]"
                                       ",PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]]")

 
##        print 'Process: Extract by Mask'
##        output_extract = output_DEM + '_E'
##        print 'Output Extract ',output_extract
##        gp.ExtractByMask_sa(output_DEM, ocean, output_extract)