Example #1
0
    strdir = tr.ifthen(stro >= strRiver, stro)
    tr.report(strdir, step1dir + "/streamorderrive.map")
    tr.report(tr.boolean(tr.ifthen(stro >= strRiver, stro)),
              step1dir + "/rivers.map")

    tr.setglobaloption("unittrue")
    # outlet (and other gauges if given)
    #TODO: check is x/y set if not skip this
    print("Outlet...")

    outlmap = tr.points_to_map(dem, X, Y, 0.5)

    if snapgaugestoriver:
        print "Snapping gauges to nearest river cells..."
        tr.report(outlmap, step1dir + "/orggauges.map")
        outlmap = tr.snaptomap(outlmap, strdir)

    #noutletmap = tr.points_to_map(dem,XX,YY,0.5)
    #tr.report(noutletmap,'noutlet.map')

    tr.report(outlmap, step1dir + "/gauges.map")

    # check if there is a pre-define catchment map
    try:
        catchmask = config.get("files", "catchment_mask")
    except:
        print "No catchment mask, finding outlet"
        # Find catchment (overall)
        outlet = tr.find_outlet(ldd)
        sub = tr.subcatch(ldd, outlet)
        tr.report(sub, step1dir + "/catchment_overall.map")
Example #2
0
def main():
    """
        
    :ivar masterdem: digital elevation model
    :ivar dem: digital elevation model
    :ivar river: optional river map
    """

    # Default values
    strRiver = 8
    masterdem = "dem.map"
    step1dir = "step1"
    step2dir = "step2"
    workdir = "."
    inifile = "wflow_prepare.ini"
    recreate = False
    snapgaugestoriver = False

    try:
        opts, args = getopt.getopt(sys.argv[1:], "W:hI:f")
    except getopt.error as msg:
        usage(msg)

    for o, a in opts:
        if o == "-W":
            workdir = a
        if o == "-I":
            inifile = a
        if o == "-h":
            usage()
        if o == "-f":
            recreate = True

    pcr.setglobaloption("unitcell")
    os.chdir(workdir)

    config = OpenConf(workdir + "/" + inifile)

    masterdem = configget(config, "files", "masterdem", "dem.map")
    pcr.setclone(masterdem)

    strRiver = int(configget(config, "settings", "riverorder", "4"))

    try:
        gauges_x = config.get("settings", "gauges_x")
        gauges_y = config.get("settings", "gauges_y")
    except:
        print("gauges_x and  gauges_y are required entries in the ini file")
        sys.exit(1)

    step1dir = configget(config, "directories", "step1dir", "step1")
    step2dir = configget(config, "directories", "step2dir", "step2")
    # upscalefactor = float(config.get("settings","upscalefactor"))

    corevolume = float(configget(config, "settings", "corevolume", "1E35"))
    catchmentprecipitation = float(
        configget(config, "settings", "catchmentprecipitation", "1E35"))
    corearea = float(configget(config, "settings", "corearea", "1E35"))
    outflowdepth = float(
        configget(config, "settings", "lddoutflowdepth", "1E35"))

    initialscale = int(configget(config, "settings", "initialscale", "1"))
    csize = float(configget(config, "settings", "cellsize", "1"))

    snapgaugestoriver = bool(
        int(configget(config, "settings", "snapgaugestoriver", "1")))
    lddglobaloption = configget(config, "settings", "lddglobaloption",
                                "lddout")
    pcr.setglobaloption(lddglobaloption)
    lu_water = configget(config, "files", "lu_water", "")
    lu_paved = configget(config, "files", "lu_paved", "")

    # X/Y coordinates of the gauges the system
    exec("X=tr.array(" + gauges_x + ")")
    exec("Y=tr.array(" + gauges_y + ")")

    tr.Verbose = 1

    # make the directories to save results in
    mkoutputdirs(step1dir, step2dir)

    ldddem = readdem(initialscale, masterdem, step1dir)
    dem = ldddem

    try:
        catchmask = config.get("files", "catchment_mask")
    except:
        print("No catchment mask...")
    else:
        print("clipping DEM with mask.....")
        mask = pcr.readmap(catchmask)
        ldddem = pcr.ifthen(pcr.boolean(mask), ldddem)
        dem = pcr.ifthen(pcr.boolean(mask), dem)

    # See if there is a shape file of the river to burn in
    try:
        rivshp = config.get("files", "river")
    except:
        print("no river file specified")
        outletpointX = float(
            configget(config, "settings", "outflowpointX", "0.0"))
        outletpointY = float(
            configget(config, "settings", "outflowpointY", "0.0"))
    else:
        print("river file specified.....")
        try:
            outletpointX = float(
                configget(config, "settings", "outflowpointX", "0.0"))
            outletpointY = float(
                configget(config, "settings", "outflowpointY", "0.0"))
        except:
            print(
                "Need to specify the river outletpoint (a point at the end of the river within the current map)"
            )
            exit(1)

        outletpointmap = tr.points_to_map(dem, outletpointX, outletpointY, 0.5)
        pcr.report(outletpointmap, step1dir + "/outletpoint.map")
        rivshpattr = config.get("files", "riverattr")
        pcr.report(dem * 0.0, step1dir + "/nilmap.map")
        thestr = ("gdal_translate -of GTiff " + step1dir + "/nilmap.map " +
                  step1dir + "/riverburn.tif")
        os.system(thestr)
        os.system("gdal_rasterize -burn 1 -l " + rivshpattr + " " + rivshp +
                  " " + step1dir + "/riverburn.tif")
        thestr = ("gdal_translate -of PCRaster " + step1dir +
                  "/riverburn.tif " + step1dir + "/riverburn.map")
        os.system(thestr)
        riverburn = pcr.readmap(step1dir + "/riverburn.map")
        # Determine regional slope assuming that is the way the river should run
        pcr.setglobaloption("unitcell")
        demregional = pcr.windowaverage(dem, 100)
        ldddem = pcr.ifthenelse(riverburn >= 1.0, demregional - 1000, dem)

    pcr.setglobaloption("unittrue")
    upscalefactor = int(csize / pcr.celllength())

    print("Creating ldd...")
    ldd = tr.lddcreate_save(
        step1dir + "/ldd.map",
        ldddem,
        recreate,
        outflowdepth=outflowdepth,
        corevolume=corevolume,
        catchmentprecipitation=catchmentprecipitation,
        corearea=corearea,
    )

    print("Determining streamorder...")
    stro = pcr.streamorder(ldd)
    pcr.report(stro, step1dir + "/streamorder.map")
    strdir = pcr.ifthen(stro >= strRiver, stro)
    pcr.report(strdir, step1dir + "/streamorderrive.map")
    pcr.report(pcr.boolean(pcr.ifthen(stro >= strRiver, stro)),
               step1dir + "/rivers.map")

    pcr.setglobaloption("unittrue")
    # outlet (and other gauges if given)
    # TODO: check is x/y set if not skip this
    print("Outlet...")

    outlmap = tr.points_to_map(dem, X, Y, 0.5)

    if snapgaugestoriver:
        print("Snapping gauges to nearest river cells...")
        pcr.report(outlmap, step1dir + "/orggauges.map")
        outlmap = tr.snaptomap(outlmap, strdir)

    # noutletmap = tr.points_to_map(dem,XX,YY,0.5)
    # pcr.report(noutletmap,'noutlet.map')

    pcr.report(outlmap, step1dir + "/gauges.map")

    # check if there is a pre-define catchment map
    try:
        catchmask = config.get("files", "catchment_mask")
    except:
        print("No catchment mask, finding outlet")
        # Find catchment (overall)
        outlet = tr.find_outlet(ldd)
        sub = pcr.subcatch(ldd, outlet)
        pcr.report(sub, step1dir + "/catchment_overall.map")
    else:
        print("reading and converting catchment mask.....")
        os.system("resample -r " + str(initialscale) + " " + catchmask + " " +
                  step1dir + "/catchment_overall.map")
        sub = pcr.readmap(step1dir + "/catchment_overall.map")

    print("Scatch...")
    sd = pcr.subcatch(ldd, pcr.ifthen(outlmap > 0, outlmap))
    pcr.report(sd, step1dir + "/scatch.map")

    pcr.setglobaloption("unitcell")
    print("Upscalefactor: " + str(upscalefactor))

    if upscalefactor > 1:
        gc.collect()
        print("upscale river length1 (checkerboard map)...")
        ck = tr.checkerboard(dem, upscalefactor)
        pcr.report(ck, step1dir + "/ck.map")
        pcr.report(dem, step1dir + "/demck.map")
        print("upscale river length2...")
        fact = tr.area_riverlength_factor(ldd, ck, upscalefactor)
        pcr.report(fact, step1dir + "/riverlength_fact.map")

        # print("make dem statistics...")
        dem_ = pcr.areaaverage(dem, ck)
        pcr.report(dem_, step1dir + "/demavg.map")

        print("Create DEM statistics...")
        dem_ = pcr.areaminimum(dem, ck)
        pcr.report(dem_, step1dir + "/demmin.map")
        dem_ = pcr.areamaximum(dem, ck)
        pcr.report(dem_, step1dir + "/demmax.map")
        # calculate percentiles
        order = pcr.areaorder(dem, ck)
        n = pcr.areatotal(pcr.spatial(pcr.scalar(1.0)), ck)
        #: calculate 25 percentile
        perc = tr.area_percentile(dem, ck, n, order, 25.0)
        pcr.report(perc, step1dir + "/dem25.map")
        perc = tr.area_percentile(dem, ck, n, order, 10.0)
        pcr.report(perc, step1dir + "/dem10.map")
        perc = tr.area_percentile(dem, ck, n, order, 50.0)
        pcr.report(perc, step1dir + "/dem50.map")
        perc = tr.area_percentile(dem, ck, n, order, 33.0)
        pcr.report(perc, step1dir + "/dem33.map")
        perc = tr.area_percentile(dem, ck, n, order, 66.0)
        pcr.report(perc, step1dir + "/dem66.map")
        perc = tr.area_percentile(dem, ck, n, order, 75.0)
        pcr.report(perc, step1dir + "/dem75.map")
        perc = tr.area_percentile(dem, ck, n, order, 90.0)
        pcr.report(perc, step1dir + "/dem90.map")
    else:
        print("No fancy scaling done. Going strait to step2....")
        pcr.report(dem, step1dir + "/demavg.map")
        Xul = float(config.get("settings", "Xul"))
        Yul = float(config.get("settings", "Yul"))
        Xlr = float(config.get("settings", "Xlr"))
        Ylr = float(config.get("settings", "Ylr"))
        gdalstr = ("gdal_translate  -projwin " + str(Xul) + " " + str(Yul) +
                   " " + str(Xlr) + " " + str(Ylr) + " -of PCRaster  ")
        # gdalstr = "gdal_translate  -a_ullr " + str(Xul) + " " + str(Yul) + " " +str(Xlr) + " " +str(Ylr) + " -of PCRaster  "
        print(gdalstr)
        pcr.report(pcr.cover(1.0), step1dir + "/wflow_riverlength_fact.map")
        # Now us gdat tp convert the maps
        os.system(gdalstr + step1dir + "/wflow_riverlength_fact.map" + " " +
                  step2dir + "/wflow_riverlength_fact.map")
        os.system(gdalstr + step1dir + "/demavg.map" + " " + step2dir +
                  "/wflow_dem.map")
        os.system(gdalstr + step1dir + "/demavg.map" + " " + step2dir +
                  "/wflow_demmin.map")
        os.system(gdalstr + step1dir + "/demavg.map" + " " + step2dir +
                  "/wflow_demmax.map")
        os.system(gdalstr + step1dir + "/gauges.map" + " " + step2dir +
                  "/wflow_gauges.map")
        os.system(gdalstr + step1dir + "/rivers.map" + " " + step2dir +
                  "/wflow_river.map")
        os.system(gdalstr + step1dir + "/streamorder.map" + " " + step2dir +
                  "/wflow_streamorder.map")
        os.system(gdalstr + step1dir + "/gauges.map" + " " + step2dir +
                  "/wflow_outlet.map")
        os.system(gdalstr + step1dir + "/scatch.map" + " " + step2dir +
                  "/wflow_catchment.map")
        os.system(gdalstr + step1dir + "/ldd.map" + " " + step2dir +
                  "/wflow_ldd.map")
        os.system(gdalstr + step1dir + "/scatch.map" + " " + step2dir +
                  "/wflow_subcatch.map")

        if lu_water:
            os.system(gdalstr + lu_water + " " + step2dir + "/WaterFrac.map")

        if lu_paved:
            os.system(gdalstr + lu_paved + " " + step2dir + "/PathFrac.map")

        try:
            lumap = config.get("files", "landuse")
        except:
            print("no landuse map...creating uniform map")
            # clone=pcr.readmap(step2dir + "/wflow_dem.map")
            pcr.setclone(step2dir + "/wflow_dem.map")
            pcr.report(pcr.nominal(1), step2dir + "/wflow_landuse.map")
        else:
            os.system("resample --clone " + step2dir + "/wflow_dem.map " +
                      lumap + " " + step2dir + "/wflow_landuse.map")

        try:
            soilmap = config.get("files", "soil")
        except:
            print("no soil map..., creating uniform map")
            pcr.setclone(step2dir + "/wflow_dem.map")
            pcr.report(pcr.nominal(1), step2dir + "/wflow_soil.map")
        else:
            os.system("resample --clone " + step2dir + "/wflow_dem.map " +
                      soilmap + " " + step2dir + "/wflow_soil.map")

    ##################################
    # Step 2 starts here
    ##################################

    pcr.setclone(step2dir + "/cutout.map")

    strRiver = int(configget(config, "settings", "riverorder_step2", "4"))

    corevolume = float(configget(config, "settings", "corevolume", "1E35"))
    catchmentprecipitation = float(
        configget(config, "settings", "catchmentprecipitation", "1E35"))
    corearea = float(configget(config, "settings", "corearea", "1E35"))
    outflowdepth = float(
        configget(config, "settings", "lddoutflowdepth", "1E35"))
    lddmethod = configget(config, "settings", "lddmethod", "dem")
    lddglobaloption = configget(config, "settings", "lddglobaloption",
                                "lddout")
    pcr.setglobaloption(lddglobaloption)

    nrrow = round(abs(Yul - Ylr) / csize)
    nrcol = round(abs(Xlr - Xul) / csize)
    mapstr = ("mapattr -s -S -R " + str(nrrow) + " -C " + str(nrcol) + " -l " +
              str(csize) + " -x " + str(Xul) + " -y " + str(Yul) +
              " -P yb2t " + step2dir + "/cutout.map")

    os.system(mapstr)
    pcr.setclone(step2dir + "/cutout.map")

    lu_water = configget(config, "files", "lu_water", "")
    lu_paved = configget(config, "files", "lu_paved", "")

    if lu_water:
        os.system("resample --clone " + step2dir + "/cutout.map " + lu_water +
                  " " + step2dir + "/wflow_waterfrac.map")

    if lu_paved:
        os.system("resample --clone " + step2dir + "/cutout.map " + lu_paved +
                  " " + step2dir + "/PathFrac.map")

    #
    try:
        lumap = config.get("files", "landuse")
    except:
        print("no landuse map...creating uniform map")
        clone = pcr.readmap(step2dir + "/cutout.map")
        pcr.report(pcr.nominal(clone), step2dir + "/wflow_landuse.map")
    else:
        os.system("resample --clone " + step2dir + "/cutout.map " + lumap +
                  " " + step2dir + "/wflow_landuse.map")

    try:
        soilmap = config.get("files", "soil")
    except:
        print("no soil map..., creating uniform map")
        clone = pcr.readmap(step2dir + "/cutout.map")
        pcr.report(pcr.nominal(clone), step2dir + "/wflow_soil.map")
    else:
        os.system("resample --clone " + step2dir + "/cutout.map " + soilmap +
                  " " + step2dir + "/wflow_soil.map")

    resamplemaps(step1dir, step2dir)

    dem = pcr.readmap(step2dir + "/wflow_dem.map")
    demmin = pcr.readmap(step2dir + "/wflow_demmin.map")
    demmax = pcr.readmap(step2dir + "/wflow_demmax.map")
    catchcut = pcr.readmap(step2dir + "/catchment_cut.map")
    # now apply the area of interest (catchcut) to the DEM
    # dem=pcr.ifthen(catchcut >=1 , dem)
    #

    # See if there is a shape file of the river to burn in
    try:
        rivshp = config.get("files", "river")
    except:
        print("no river file specified")
        riverburn = pcr.readmap(step2dir + "/wflow_riverburnin.map")
    else:
        print("river file speficied.....")
        rivshpattr = config.get("files", "riverattr")
        pcr.report(dem * 0.0, step2dir + "/nilmap.map")
        thestr = ("gdal_translate -of GTiff " + step2dir + "/nilmap.map " +
                  step2dir + "/wflow_riverburnin.tif")
        os.system(thestr)
        os.system("gdal_rasterize -burn 1 -l " + rivshpattr + " " + rivshp +
                  " " + step2dir + "/wflow_riverburnin.tif")
        thestr = ("gdal_translate -of PCRaster " + step2dir +
                  "/wflow_riverburnin.tif " + step2dir +
                  "/wflow_riverburnin.map")
        os.system(thestr)
        riverburn = pcr.readmap(step2dir + "/wflow_riverburnin.map")
        # ldddem = pcr.ifthenelse(riverburn >= 1.0, dem -1000 , dem)

    # Only burn within the original catchment
    riverburn = pcr.ifthen(pcr.scalar(catchcut) >= 1, riverburn)
    # Now setup a very high wall around the catchment that is scale
    # based on the distance to the catchment so that it slopes away from the
    # catchment
    if lddmethod != "river":
        print("Burning in highres-river ...")
        disttocatch = pcr.spread(pcr.nominal(catchcut), 0.0, 1.0)
        demmax = pcr.ifthenelse(
            pcr.scalar(catchcut) >= 1.0,
            demmax,
            demmax + (pcr.celllength() * 100.0) / disttocatch,
        )
        pcr.setglobaloption("unitcell")
        demregional = pcr.windowaverage(demmin, 100)
        demburn = pcr.cover(
            pcr.ifthen(pcr.boolean(riverburn), demregional - 100.0), demmax)
    else:
        print("using average dem..")
        demburn = dem

    ldd = tr.lddcreate_save(
        step2dir + "/ldd.map",
        demburn,
        True,
        outflowdepth=outflowdepth,
        corevolume=corevolume,
        catchmentprecipitation=catchmentprecipitation,
        corearea=corearea,
    )

    # Find catchment (overall)
    outlet = tr.find_outlet(ldd)
    sub = pcr.subcatch(ldd, outlet)
    pcr.report(sub, step2dir + "/wflow_catchment.map")
    pcr.report(outlet, step2dir + "/wflow_outlet.map")

    # make river map
    strorder = pcr.streamorder(ldd)
    pcr.report(strorder, step2dir + "/wflow_streamorder.map")

    river = pcr.ifthen(pcr.boolean(strorder >= strRiver), strorder)
    pcr.report(river, step2dir + "/wflow_river.map")

    # make subcatchments
    # os.system("col2map --clone " + step2dir + "/cutout.map gauges.col " + step2dir + "/wflow_gauges.map")
    exec("X=tr.array(" + gauges_x + ")")
    exec("Y=tr.array(" + gauges_y + ")")

    pcr.setglobaloption("unittrue")

    outlmap = tr.points_to_map(dem, X, Y, 0.5)
    pcr.report(outlmap, step2dir + "/wflow_gauges_.map")

    if snapgaugestoriver:
        print("Snapping gauges to river")
        pcr.report(outlmap, step2dir + "/wflow_orggauges.map")
        outlmap = tr.snaptomap(outlmap, river)

    outlmap = pcr.ifthen(outlmap > 0, outlmap)
    pcr.report(outlmap, step2dir + "/wflow_gauges.map")

    scatch = pcr.subcatch(ldd, outlmap)
    pcr.report(scatch, step2dir + "/wflow_subcatch.map")
    strdir = tr.ifthen(stro >= strRiver, stro)
    tr.report(strdir, step1dir + "/streamorderrive.map")
    tr.report(tr.boolean(tr.ifthen(stro >= strRiver, stro)),
              step1dir + "/rivers.map")

    tr.setglobaloption("unittrue")
    # outlet (and other gauges if given)
    # TODO: check is x/y set if not skip this
    print("Outlet...")

    outlmap = tr.points_to_map(dem, X, Y, 0.5)

    if snapgaugestoriver:
        print "Snapping gauges to nearest river cells..."
        tr.report(outlmap, step1dir + "/orggauges.map")
        outlmap = tr.snaptomap(outlmap, strdir)

    # noutletmap = tr.points_to_map(dem,XX,YY,0.5)
    # tr.report(noutletmap,'noutlet.map')

    tr.report(outlmap, step1dir + "/gauges.map")

    # check if there is a pre-define catchment map
    try:
        catchmask = config.get("files", "catchment_mask")
    except:
        print "No catchment mask, finding outlet"
        # Find catchment (overall)
        outlet = tr.find_outlet(ldd)
        sub = tr.subcatch(ldd, outlet)
        tr.report(sub, step1dir + "/catchment_overall.map")
Example #4
0
    strorder = tr.streamorder(ldd)
    tr.report(strorder, step2dir + "/wflow_streamorder.map")

    river = tr.ifthen(tr.boolean(strorder >= strRiver), strorder)
    tr.report(river, step2dir + "/wflow_river.map")

    # make subcatchments
    #os.system("col2map --clone " + step2dir + "/cutout.map gauges.col " + step2dir + "/wflow_gauges.map")
    exec "X=tr.array(" + gauges_x + ")"
    exec "Y=tr.array(" + gauges_y + ")"

    tr.setglobaloption("unittrue")

    outlmap = tr.points_to_map(dem, X, Y, 0.5)
    tr.report(outlmap, step2dir + "/wflow_gauges_.map")

    if snapgaugestoriver:
        print "Snapping gauges to river"
        tr.report(outlmap, step2dir + "/wflow_orggauges.map")
        outlmap = tr.snaptomap(outlmap, river)

    outlmap = tr.ifthen(outlmap > 0, outlmap)
    tr.report(outlmap, step2dir + "/wflow_gauges.map")

    scatch = tr.subcatch(ldd, outlmap)
    tr.report(scatch, step2dir + "/wflow_subcatch.map")


if __name__ == "__main__":
    main()
Example #5
0
def main():
    """

    """
    workdir = "."
    inifile = "wflow_prepare.ini"

    try:
        opts, args = getopt.getopt(sys.argv[1:], "W:hI:f")
    except getopt.error as msg:
        usage(msg)

    for o, a in opts:
        if o == "-W":
            workdir = a
        if o == "-I":
            inifile = a
        if o == "-h":
            usage()
        if o == "-f":
            recreate = True

    os.chdir(workdir)

    config = OpenConf(workdir + "/" + inifile)

    step1dir = configget(config, "directories", "step1dir", "step1")
    step2dir = configget(config, "directories", "step2dir", "step2")
    snapgaugestoriver = bool(
        int(configget(config, "settings", "snapgaugestoriver", "1"))
    )

    # make the directories to save results in
    if not os.path.isdir(step1dir + "/"):
        os.makedirs(step1dir)
    if not os.path.isdir(step2dir):
        os.makedirs(step2dir)

    ##first make the clone map
    try:
        Xul = float(config.get("settings", "Xul"))
        Yul = float(config.get("settings", "Yul"))
        Xlr = float(config.get("settings", "Xlr"))
        Ylr = float(config.get("settings", "Ylr"))
    except:
        print("Xul, Xul, Xlr and  Ylr are required entries in the ini file")
        sys.exit(1)

    csize = float(configget(config, "settings", "cellsize", "1"))
    try:
        gauges_x = config.get("settings", "gauges_x")
        gauges_y = config.get("settings", "gauges_y")
    except:
        print("gauges_x and  gauges_y are required entries in the ini file")
        sys.exit(1)

    strRiver = int(configget(config, "settings", "riverorder_step2", "4"))

    corevolume = float(configget(config, "settings", "corevolume", "1E35"))
    catchmentprecipitation = float(
        configget(config, "settings", "catchmentprecipitation", "1E35")
    )
    corearea = float(configget(config, "settings", "corearea", "1E35"))
    outflowdepth = float(configget(config, "settings", "lddoutflowdepth", "1E35"))
    lddmethod = configget(config, "settings", "lddmethod", "dem")
    lddglobaloption = configget(config, "settings", "lddglobaloption", "lddout")
    tr.setglobaloption(lddglobaloption)

    nrrow = round(abs(Yul - Ylr) / csize)
    nrcol = round(abs(Xlr - Xul) / csize)
    mapstr = (
        "mapattr -s -S -R "
        + str(nrrow)
        + " -C "
        + str(nrcol)
        + " -l "
        + str(csize)
        + " -x "
        + str(Xul)
        + " -y "
        + str(Yul)
        + " -P yb2t "
        + step2dir
        + "/cutout.map"
    )

    os.system(mapstr)
    tr.setclone(step2dir + "/cutout.map")

    lu_water = configget(config, "files", "lu_water", "")
    lu_paved = configget(config, "files", "lu_paved", "")

    if lu_water:
        os.system(
            "resample --clone "
            + step2dir
            + "/cutout.map "
            + lu_water
            + " "
            + step2dir
            + "/wflow_waterfrac.map"
        )

    if lu_paved:
        os.system(
            "resample --clone "
            + step2dir
            + "/cutout.map "
            + lu_paved
            + " "
            + step2dir
            + "/PathFrac.map"
        )

    #
    try:
        lumap = config.get("files", "landuse")
    except:
        print("no landuse map...creating uniform map")
        clone = tr.readmap(step2dir + "/cutout.map")
        tr.report(tr.nominal(clone), step2dir + "/wflow_landuse.map")
    else:
        os.system(
            "resample --clone "
            + step2dir
            + "/cutout.map "
            + lumap
            + " "
            + step2dir
            + "/wflow_landuse.map"
        )

    try:
        soilmap = config.get("files", "soil")
    except:
        print("no soil map..., creating uniform map")
        clone = tr.readmap(step2dir + "/cutout.map")
        tr.report(tr.nominal(clone), step2dir + "/wflow_soil.map")
    else:
        os.system(
            "resample --clone "
            + step2dir
            + "/cutout.map "
            + soilmap
            + " "
            + step2dir
            + "/wflow_soil.map"
        )

    resamplemaps(step1dir, step2dir)

    dem = tr.readmap(step2dir + "/wflow_dem.map")
    demmin = tr.readmap(step2dir + "/wflow_demmin.map")
    demmax = tr.readmap(step2dir + "/wflow_demmax.map")
    # catchcut = tr.readmap(step2dir + "/catchment_cut.map")
    catchcut = tr.readmap(step2dir + "/cutout.map")
    # now apply the area of interest (catchcut) to the DEM
    # dem=tr.ifthen(catchcut >=1 , dem)
    #

    # See if there is a shape file of the river to burn in
    try:
        rivshp = config.get("files", "river")
    except:
        print("no river file specified")
        riverburn = tr.readmap(step2dir + "/wflow_riverburnin.map")
    else:
        print("river file speficied.....")
        # rivshpattr = config.get("files","riverattr")
        tr.report(dem * 0.0, step2dir + "/nilmap.map")
        thestr = (
            "gdal_translate -of GTiff "
            + step2dir
            + "/nilmap.map "
            + step2dir
            + "/wflow_riverburnin.tif"
        )
        os.system(thestr)
        rivshpattr = os.path.splitext(os.path.basename(rivshp))[0]
        os.system(
            "gdal_rasterize -burn 1 -l "
            + rivshpattr
            + " "
            + rivshp
            + " "
            + step2dir
            + "/wflow_riverburnin.tif"
        )
        thestr = (
            "gdal_translate -of PCRaster "
            + step2dir
            + "/wflow_riverburnin.tif "
            + step2dir
            + "/wflow_riverburnin.map"
        )
        os.system(thestr)
        riverburn = tr.readmap(step2dir + "/wflow_riverburnin.map")
        # ldddem = tr.ifthenelse(riverburn >= 1.0, dem -1000 , dem)

    # Only burn within the original catchment
    riverburn = tr.ifthen(tr.scalar(catchcut) >= 1, riverburn)
    # Now setup a very high wall around the catchment that is scale
    # based on the distance to the catchment so that it slopes away from the
    # catchment
    if lddmethod != "river":
        print("Burning in highres-river ...")
        disttocatch = tr.spread(tr.nominal(catchcut), 0.0, 1.0)
        demmax = tr.ifthenelse(
            tr.scalar(catchcut) >= 1.0,
            demmax,
            demmax + (tr.celllength() * 100.0) / disttocatch,
        )
        tr.setglobaloption("unitcell")
        # demregional=tr.windowaverage(demmin,100)
        demburn = tr.cover(tr.ifthen(tr.boolean(riverburn), demmin - 100.0), demmax)
    else:
        print("using average dem..")
        demburn = dem

    ldd = tr.lddcreate_save(
        step2dir + "/wflow_ldd.map",
        demburn,
        True,
        outflowdepth=outflowdepth,
        corevolume=corevolume,
        catchmentprecipitation=catchmentprecipitation,
        corearea=corearea,
    )

    # Find catchment (overall)
    outlet = tr.find_outlet(ldd)
    sub = tr.subcatch(ldd, outlet)
    tr.report(sub, step2dir + "/wflow_catchment.map")
    tr.report(outlet, step2dir + "/wflow_outlet.map")

    # make river map
    strorder = tr.streamorder(ldd)
    tr.report(strorder, step2dir + "/wflow_streamorder.map")

    river = tr.ifthen(tr.boolean(strorder >= strRiver), strorder)
    tr.report(river, step2dir + "/wflow_river.map")

    # make subcatchments
    # os.system("col2map --clone " + step2dir + "/cutout.map gauges.col " + step2dir + "/wflow_gauges.map")
    exec("X=np.array(" + gauges_x + ")")
    exec("Y=np.array(" + gauges_y + ")")

    tr.setglobaloption("unittrue")

    outlmap = tr.points_to_map(dem, X, Y, 0.5)
    tr.report(outlmap, step2dir + "/wflow_gauges_.map")

    if snapgaugestoriver:
        print("Snapping gauges to river")
        tr.report(outlmap, step2dir + "/wflow_orggauges.map")
        outlmap = tr.snaptomap(outlmap, river)

    outlmap = tr.ifthen(outlmap > 0, outlmap)
    tr.report(outlmap, step2dir + "/wflow_gauges.map")

    scatch = tr.subcatch(ldd, outlmap)
    tr.report(scatch, step2dir + "/wflow_subcatch.map")
Example #6
0
    tr.report(stro,step1dir + "/streamorder.map")
    strdir = tr.ifthen(stro >= strRiver, stro)
    tr.report(strdir,step1dir + "/streamorderrive.map")
    tr.report(tr.boolean(tr.ifthen(stro >= strRiver, stro)),step1dir + "/rivers.map")

    tr.setglobaloption("unittrue")
    # outlet (and other gauges if given)
    #TODO: check is x/y set if not skip this
    print("Outlet...")

    outlmap = tr.points_to_map(dem,X,Y,0.5)

    if snapgaugestoriver:
        print "Snapping gauges to nearest river cells..."
        tr.report(outlmap,step1dir + "/orggauges.map")
        outlmap= tr.snaptomap(outlmap,strdir)


    #noutletmap = tr.points_to_map(dem,XX,YY,0.5)
    #tr.report(noutletmap,'noutlet.map')


    tr.report(outlmap,step1dir + "/gauges.map")

        # check if there is a pre-define catchment map
    try:
        catchmask = config.get("files","catchment_mask")
    except:
        print "No catchment mask, finding outlet"
        # Find catchment (overall)
        outlet = tr.find_outlet(ldd)
Example #7
0
def main():
    """
        
    :ivar masterdem: digital elevation model
    :ivar dem: digital elevation model
    :ivar river: optional river map
    """

    # Default values
    strRiver = 8
    masterdem = "dem.map"
    step1dir = "step1"
    step2dir = "step2"
    workdir = "."
    inifile = "wflow_prepare.ini"
    recreate = False
    snapgaugestoriver = False

    try:
        opts, args = getopt.getopt(sys.argv[1:], "W:hI:f",['version'])
    except getopt.error as msg:
        usage(msg)

    for o, a in opts:
        if o == "-W":
            workdir = a
        if o == "-I":
            inifile = a
        if o == "-h":
            usage()
        if o == "-f":
            recreate = True
        if o == "--version":
            import wflow
            print("wflow version: ", wflow.__version__)
            sys.exit(0)

    pcr.setglobaloption("unitcell")
    os.chdir(workdir)

    config = OpenConf(workdir + "/" + inifile)

    masterdem = configget(config, "files", "masterdem", "dem.map")
    pcr.setclone(masterdem)

    strRiver = int(configget(config, "settings", "riverorder", "4"))

    try:
        gauges_x = config.get("settings", "gauges_x")
        gauges_y = config.get("settings", "gauges_y")
    except:
        print("gauges_x and  gauges_y are required entries in the ini file")
        sys.exit(1)

    step1dir = configget(config, "directories", "step1dir", "step1")
    step2dir = configget(config, "directories", "step2dir", "step2")
    # upscalefactor = float(config.get("settings","upscalefactor"))

    corevolume = float(configget(config, "settings", "corevolume", "1E35"))
    catchmentprecipitation = float(
        configget(config, "settings", "catchmentprecipitation", "1E35")
    )
    corearea = float(configget(config, "settings", "corearea", "1E35"))
    outflowdepth = float(configget(config, "settings", "lddoutflowdepth", "1E35"))

    initialscale = int(configget(config, "settings", "initialscale", "1"))
    csize = float(configget(config, "settings", "cellsize", "1"))

    snapgaugestoriver = bool(
        int(configget(config, "settings", "snapgaugestoriver", "1"))
    )
    lddglobaloption = configget(config, "settings", "lddglobaloption", "lddout")
    pcr.setglobaloption(lddglobaloption)
    lu_water = configget(config, "files", "lu_water", "")
    lu_paved = configget(config, "files", "lu_paved", "")

    # X/Y coordinates of the gauges the system    
    X = np.fromstring(gauges_x, sep=',')
    Y = np.fromstring(gauges_y, sep=',')

    tr.Verbose = 1

    # make the directories to save results in
    if not os.path.isdir(step1dir + "/"):
        os.makedirs(step1dir)
    if not os.path.isdir(step2dir):
        os.makedirs(step2dir)

    if initialscale > 1:
        print("Initial scaling of DEM...")
        os.system(
            "resample -r "
            + str(initialscale)
            + " "
            + masterdem
            + " "
            + step1dir
            + "/dem_scaled.map"
        )
        print("Reading dem...")
        dem = pcr.readmap(step1dir + "/dem_scaled.map")
        ldddem = dem
    else:
        print ("Reading dem...")
        dem = pcr.readmap(masterdem)
        ldddem = dem

    try:
        catchmask = config.get("files", "catchment_mask")
    except:
        print("No catchment mask...")
    else:
        print("clipping DEM with mask.....")
        mask = pcr.readmap(catchmask)
        ldddem = pcr.ifthen(pcr.boolean(mask), ldddem)
        dem = pcr.ifthen(pcr.boolean(mask), dem)

    # See if there is a shape file of the river to burn in
    try:
        rivshp = config.get("files", "river")
    except:
        print("no river file specified")
        outletpointX = float(configget(config, "settings", "outflowpointX", "0.0"))
        outletpointY = float(configget(config, "settings", "outflowpointY", "0.0"))
    else:
        print("river file specified.....")
        try:
            outletpointX = float(configget(config, "settings", "outflowpointX", "0.0"))
            outletpointY = float(configget(config, "settings", "outflowpointY", "0.0"))
        except:
            print(
                "Need to specify the river outletpoint (a point at the end of the river within the current map)"
            )
            exit(1)

        outletpointmap = tr.points_to_map(dem, outletpointX, outletpointY, 0.5)
        pcr.report(outletpointmap, step1dir + "/outletpoint.map")
        # rivshpattr = config.get("files","riverattr")
        pcr.report(dem * 0.0, step1dir + "/nilmap.map")
        thestr = (
            "gdal_translate -of GTiff "
            + step1dir
            + "/nilmap.map "
            + step1dir
            + "/riverburn.tif"
        )
        os.system(thestr)
        rivshpattr = os.path.splitext(os.path.basename(rivshp))[0]
        os.system(
            "gdal_rasterize -burn 1 -l "
            + rivshpattr
            + " "
            + rivshp
            + " "
            + step1dir
            + "/riverburn.tif"
        )
        thestr = (
            "gdal_translate -of PCRaster "
            + step1dir
            + "/riverburn.tif "
            + step1dir
            + "/riverburn.map"
        )
        os.system(thestr)
        riverburn = pcr.readmap(step1dir + "/riverburn.map")
        # Determine regional slope assuming that is the way the river should run
        # Determine regional slope assuming that is the way the river should run
        # pcr.setglobaloption("unitcell")
        # demregional=pcr.windowaverage(dem,100)
        ldddem = pcr.ifthenelse(riverburn >= 1.0, dem - 1000, dem)

    pcr.setglobaloption("unittrue")
    upscalefactor = int(csize / pcr.celllength())

    print("Creating ldd...")
    ldd = tr.lddcreate_save(
        step1dir + "/ldd.map",
        ldddem,
        recreate,
        outflowdepth=outflowdepth,
        corevolume=corevolume,
        catchmentprecipitation=catchmentprecipitation,
        corearea=corearea,
    )

    print("Determining streamorder...")
    stro = pcr.streamorder(ldd)
    pcr.report(stro, step1dir + "/streamorder.map")
    strdir = pcr.ifthen(stro >= strRiver, stro)
    pcr.report(strdir, step1dir + "/streamorderrive.map")
    pcr.report(pcr.boolean(pcr.ifthen(stro >= strRiver, stro)), step1dir + "/rivers.map")

    pcr.setglobaloption("unittrue")
    # outlet (and other gauges if given)
    # TODO: check is x/y set if not skip this
    print("Outlet...")

    outlmap = tr.points_to_map(dem, X, Y, 0.5)

    if snapgaugestoriver:
        print("Snapping gauges to nearest river cells...")
        pcr.report(outlmap, step1dir + "/orggauges.map")
        outlmap = tr.snaptomap(outlmap, strdir)

    # noutletmap = tr.points_to_map(dem,XX,YY,0.5)
    # pcr.report(noutletmap,'noutlet.map')

    pcr.report(outlmap, step1dir + "/gauges.map")

    # check if there is a pre-define catchment map
    try:
        catchmask = config.get("files", "catchment_mask")
    except:
        print("No catchment mask, finding outlet")
        # Find catchment (overall)
        outlet = tr.find_outlet(ldd)
        sub = tr.subcatch(ldd, outlet)
        pcr.report(sub, step1dir + "/catchment_overall.map")
    else:
        print("reading and converting catchment mask.....")
        os.system(
            "resample -r "
            + str(initialscale)
            + " "
            + catchmask
            + " "
            + step1dir
            + "/catchment_overall.map"
        )
        sub = pcr.readmap(step1dir + "/catchment_overall.map")

    print("Scatch...")
    sd = tr.subcatch(ldd, pcr.ifthen(outlmap > 0, outlmap))
    pcr.report(sd, step1dir + "/scatch.map")

    pcr.setglobaloption("unitcell")
    print("Upscalefactor: " + str(upscalefactor))

    if upscalefactor > 1:
        gc.collect()
        print("upscale river length1 (checkerboard map)...")
        ck = tr.checkerboard(dem, upscalefactor)
        pcr.report(ck, step1dir + "/ck.map")
        pcr.report(dem, step1dir + "/demck.map")
        print("upscale river length2...")
        fact = tr.area_riverlength_factor(ldd, ck, upscalefactor)
        pcr.report(fact, step1dir + "/riverlength_fact.map")

        # print("make dem statistics...")
        dem_ = pcr.areaaverage(dem, ck)
        pcr.report(dem_, step1dir + "/demavg.map")

        print("Create DEM statistics...")
        dem_ = pcr.areaminimum(dem, ck)
        pcr.report(dem_, step1dir + "/demmin.map")
        dem_ = pcr.areamaximum(dem, ck)
        pcr.report(dem_, step1dir + "/demmax.map")
        # calculate percentiles
        order = pcr.areaorder(dem, ck)
        n = pcr.areatotal(pcr.spatial(pcr.scalar(1.0)), ck)
        #: calculate 25 percentile
        perc = tr.area_percentile(dem, ck, n, order, 25.0)
        pcr.report(perc, step1dir + "/dem25.map")
        perc = tr.area_percentile(dem, ck, n, order, 10.0)
        pcr.report(perc, step1dir + "/dem10.map")
        perc = tr.area_percentile(dem, ck, n, order, 50.0)
        pcr.report(perc, step1dir + "/dem50.map")
        perc = tr.area_percentile(dem, ck, n, order, 33.0)
        pcr.report(perc, step1dir + "/dem33.map")
        perc = tr.area_percentile(dem, ck, n, order, 66.0)
        pcr.report(perc, step1dir + "/dem66.map")
        perc = tr.area_percentile(dem, ck, n, order, 75.0)
        pcr.report(perc, step1dir + "/dem75.map")
        perc = tr.area_percentile(dem, ck, n, order, 90.0)
        pcr.report(perc, step1dir + "/dem90.map")
    else:
        print("No fancy scaling done. Going strait to step2....")
        pcr.report(dem, step1dir + "/demavg.map")
        Xul = float(config.get("settings", "Xul"))
        Yul = float(config.get("settings", "Yul"))
        Xlr = float(config.get("settings", "Xlr"))
        Ylr = float(config.get("settings", "Ylr"))
        gdalstr = (
            "gdal_translate  -projwin "
            + str(Xul)
            + " "
            + str(Yul)
            + " "
            + str(Xlr)
            + " "
            + str(Ylr)
            + " -of PCRaster  "
        )
        # gdalstr = "gdal_translate  -a_ullr " + str(Xul) + " " + str(Yul) + " " +str(Xlr) + " " +str(Ylr) + " -of PCRaster  "
        print(gdalstr)
        pcr.report(pcr.cover(1.0), step1dir + "/wflow_riverlength_fact.map")
        # Now us gdat tp convert the maps
        os.system(
            gdalstr
            + step1dir
            + "/wflow_riverlength_fact.map"
            + " "
            + step2dir
            + "/wflow_riverlength_fact.map"
        )
        os.system(
            gdalstr + step1dir + "/demavg.map" + " " + step2dir + "/wflow_dem.map"
        )
        os.system(
            gdalstr + step1dir + "/demavg.map" + " " + step2dir + "/wflow_demmin.map"
        )
        os.system(
            gdalstr + step1dir + "/demavg.map" + " " + step2dir + "/wflow_demmax.map"
        )
        os.system(
            gdalstr + step1dir + "/gauges.map" + " " + step2dir + "/wflow_gauges.map"
        )
        os.system(
            gdalstr + step1dir + "/rivers.map" + " " + step2dir + "/wflow_river.map"
        )
        os.system(
            gdalstr
            + step1dir
            + "/streamorder.map"
            + " "
            + step2dir
            + "/wflow_streamorder.map"
        )
        os.system(
            gdalstr + step1dir + "/gauges.map" + " " + step2dir + "/wflow_outlet.map"
        )
        os.system(
            gdalstr + step1dir + "/scatch.map" + " " + step2dir + "/wflow_catchment.map"
        )
        os.system(gdalstr + step1dir + "/ldd.map" + " " + step2dir + "/wflow_ldd.map")
        os.system(
            gdalstr + step1dir + "/scatch.map" + " " + step2dir + "/wflow_subcatch.map"
        )

        if lu_water:
            os.system(gdalstr + lu_water + " " + step2dir + "/WaterFrac.map")

        if lu_paved:
            os.system(gdalstr + lu_paved + " " + step2dir + "/PathFrac.map")

        try:
            lumap = config.get("files", "landuse")
        except:
            print("no landuse map...creating uniform map")
            # clone=pcr.readmap(step2dir + "/wflow_dem.map")
            pcr.setclone(step2dir + "/wflow_dem.map")
            pcr.report(pcr.nominal(1), step2dir + "/wflow_landuse.map")
        else:
            os.system(
                "resample --clone "
                + step2dir
                + "/wflow_dem.map "
                + lumap
                + " "
                + step2dir
                + "/wflow_landuse.map"
            )

        try:
            soilmap = config.get("files", "soil")
        except:
            print("no soil map..., creating uniform map")
            pcr.setclone(step2dir + "/wflow_dem.map")
            pcr.report(pcr.nominal(1), step2dir + "/wflow_soil.map")
        else:
            os.system(
                "resample --clone "
                + step2dir
                + "/wflow_dem.map "
                + soilmap
                + " "
                + step2dir
                + "/wflow_soil.map"
            )
def main(
        source,
        destination,
        inifile,
        dem_in,
        rivshp,
        catchshp,
        gaugeshp=None,
        landuse=None,
        soil=None,
        lai=None,
        other_maps=None,
        logfilename="wtools_static_maps.log",
        verbose=True,
        clean=True,
        alltouch=False,
        outlets=([], []),
):
    # parse other maps into an array
    if not other_maps == None:
        if type(other_maps) == str:
            print other_maps
            other_maps = (other_maps.replace(" ", "").replace("[", "").replace(
                "]", "").split(","))

    source = os.path.abspath(source)
    clone_map = os.path.join(source, "mask.map")
    clone_shp = os.path.join(source, "mask.shp")
    clone_prj = os.path.join(source, "mask.prj")

    if None in (rivshp, catchshp, dem_in):
        msg = """The following files are compulsory:
        - DEM (raster)
        - river (shape)
        - catchment (shape)
        """
        print(msg)
        parser.print_help()
        sys.exit(1)
    if (inifile is not None) and (not os.path.exists(inifile)):
        print "path to ini file cannot be found"
        sys.exit(1)
    if not os.path.exists(rivshp):
        print "path to river shape cannot be found"
        sys.exit(1)
    if not os.path.exists(catchshp):
        print "path to catchment shape cannot be found"
        sys.exit(1)
    if not os.path.exists(dem_in):
        print "path to DEM cannot be found"
        sys.exit(1)

    # open a logger, dependent on verbose print to screen or not
    logger, ch = wt.setlogger(logfilename, "WTOOLS", verbose)

    # create directories # TODO: check if workdir is still necessary, try to
    # keep in memory as much as possible

    # delete old files (when the source and destination folder are different)
    if np.logical_and(os.path.isdir(destination), destination is not source):
        shutil.rmtree(destination)
    if destination is not source:
        os.makedirs(destination)

    # Read mask
    if not (os.path.exists(clone_map)):
        logger.error(
            "Clone file {:s} not found. Please run create_grid first.".format(
                clone_map))
        sys.exit(1)
    else:
        # set clone
        pcr.setclone(clone_map)
        # get the extent from clone.tif
        xax, yax, clone, fill_value = wt.gdal_readmap(clone_map, "GTiff")
        trans = wt.get_geotransform(clone_map)
        extent = wt.get_extent(clone_map)
        xmin, ymin, xmax, ymax = extent
        zeros = np.zeros(clone.shape)
        ones = pcr.numpy2pcr(pcr.Scalar, np.ones(clone.shape), -9999)
        # get the projection from clone.tif
        srs = wt.get_projection(clone_map)
        unit_clone = srs.GetAttrValue("UNIT").lower()

    # READ CONFIG FILE
    # open config-file
    if inifile is None:
        config = ConfigParser.SafeConfigParser()
        config.optionxform = str
    else:
        config = wt.OpenConf(inifile)

    # read settings
    snapgaugestoriver = wt.configget(config,
                                     "settings",
                                     "snapgaugestoriver",
                                     True,
                                     datatype="boolean")
    burnalltouching = wt.configget(config,
                                   "settings",
                                   "burncatchalltouching",
                                   True,
                                   datatype="boolean")
    burninorder = wt.configget(config,
                               "settings",
                               "burncatchalltouching",
                               False,
                               datatype="boolean")
    verticetollerance = wt.configget(config,
                                     "settings",
                                     "vertice_tollerance",
                                     0.0001,
                                     datatype="float")
    """ read parameters """
    burn_outlets = wt.configget(config,
                                "parameters",
                                "burn_outlets",
                                10000,
                                datatype="int")
    burn_rivers = wt.configget(config,
                               "parameters",
                               "burn_rivers",
                               200,
                               datatype="int")
    burn_connections = wt.configget(config,
                                    "parameters",
                                    "burn_connections",
                                    100,
                                    datatype="int")
    burn_gauges = wt.configget(config,
                               "parameters",
                               "burn_gauges",
                               100,
                               datatype="int")
    minorder = wt.configget(config,
                            "parameters",
                            "riverorder_min",
                            3,
                            datatype="int")
    try:
        percentiles = np.array(
            config.get("parameters", "statisticmaps",
                       "0, 100").replace(" ", "").split(","),
            dtype="float",
        )
    except ConfigParser.NoOptionError:
        percentiles = [0.0, 100.0]
    # read the parameters for generating a temporary very high resolution grid
    if unit_clone == "degree":
        cellsize_hr = wt.configget(config,
                                   "parameters",
                                   "highres_degree",
                                   0.0005,
                                   datatype="float")
    elif (unit_clone == "metre") or (unit_clone == "meter"):
        cellsize_hr = wt.configget(config,
                                   "parameters",
                                   "highres_metre",
                                   50,
                                   datatype="float")

    cols_hr = int((float(xmax) - float(xmin)) / cellsize_hr + 2)
    rows_hr = int((float(ymax) - float(ymin)) / cellsize_hr + 2)
    hr_trans = (float(xmin), cellsize_hr, float(0), float(ymax), 0,
                -cellsize_hr)
    clone_hr = os.path.join(destination, "clone_highres.tif")
    # make a highres clone as well!
    wt.CreateTif(clone_hr, rows_hr, cols_hr, hr_trans, srs, 0)

    # read staticmap locations
    catchment_map = wt.configget(config, "staticmaps", "catchment",
                                 "wflow_catchment.map")
    dem_map = wt.configget(config, "staticmaps", "dem", "wflow_dem.map")
    demmax_map = wt.configget(config, "staticmaps", "demmax",
                              "wflow_demmax.map")
    demmin_map = wt.configget(config, "staticmaps", "demmin",
                              "wflow_demmin.map")
    gauges_map = wt.configget(config, "staticmaps", "gauges",
                              "wflow_gauges.map")
    landuse_map = wt.configget(config, "staticmaps", "landuse",
                               "wflow_landuse.map")
    ldd_map = wt.configget(config, "staticmaps", "ldd", "wflow_ldd.map")
    river_map = wt.configget(config, "staticmaps", "river", "wflow_river.map")
    outlet_map = wt.configget(config, "staticmaps", "outlet",
                              "wflow_outlet.map")
    riverlength_fact_map = wt.configget(config, "staticmaps",
                                        "riverlength_fact",
                                        "wflow_riverlength_fact.map")
    soil_map = wt.configget(config, "staticmaps", "soil", "wflow_soil.map")
    streamorder_map = wt.configget(config, "staticmaps", "streamorder",
                                   "wflow_streamorder.map")
    subcatch_map = wt.configget(config, "staticmaps", "subcatch",
                                "wflow_subcatch.map")

    # read mask location (optional)
    masklayer = wt.configget(config, "mask", "masklayer", catchshp)

    # ???? empty = pcr.ifthen(ones == 0, pcr.scalar(0))

    # TODO: check if extents are correct this way
    # TODO: check what the role of missing values is in zeros and ones (l. 123
    # in old code)

    # first add a missing value to dem_in
    ds = gdal.Open(dem_in, gdal.GA_Update)
    RasterBand = ds.GetRasterBand(1)
    fill_val = RasterBand.GetNoDataValue()

    if fill_val is None:
        RasterBand.SetNoDataValue(-9999)
    ds = None

    # reproject to clone map: see http://stackoverflow.com/questions/10454316/how-to-project-and-resample-a-grid-to-match-another-grid-with-gdal-python
    # resample DEM
    logger.info("Resampling dem from {:s} to {:s}".format(
        os.path.abspath(dem_in), os.path.join(destination, dem_map)))
    wt.gdal_warp(
        dem_in,
        clone_map,
        os.path.join(destination, dem_map),
        format="PCRaster",
        gdal_interp=gdalconst.GRA_Average,
    )
    # retrieve amount of rows and columns from clone
    # TODO: make windowstats applicable to source/target with different projections. This does not work yet.
    # retrieve srs from DEM
    try:
        srs_dem = wt.get_projection(dem_in)
    except:
        logger.warning(
            "No projection found in DEM, assuming WGS 1984 lat long")
        srs_dem = osr.SpatialReference()
        srs_dem.ImportFromEPSG(4326)
    clone2dem_transform = osr.CoordinateTransformation(srs, srs_dem)
    # if srs.ExportToProj4() == srs_dem.ExportToProj4():

    wt.windowstats(
        dem_in,
        len(yax),
        len(xax),
        trans,
        srs,
        destination,
        percentiles,
        transform=clone2dem_transform,
        logger=logger,
    )

    ## read catchment shape-file to create catchment map
    src = rasterio.open(clone_map)
    shapefile = fiona.open(catchshp, "r")
    catchment_shapes = [feature["geometry"] for feature in shapefile]
    image = features.rasterize(catchment_shapes,
                               out_shape=src.shape,
                               all_touched=True,
                               transform=src.transform)
    catchment_domain = pcr.numpy2pcr(pcr.Ordinal, image.copy(), 0)

    ## read river shape-file and create burn layer
    shapefile = fiona.open(rivshp, "r")
    river_shapes = [feature["geometry"] for feature in shapefile]
    image = features.rasterize(river_shapes,
                               out_shape=src.shape,
                               all_touched=False,
                               transform=src.transform)
    rivers = pcr.numpy2pcr(pcr.Nominal, image.copy(), 0)
    riverdem = pcr.scalar(rivers) * pcr.readmap(
        os.path.join(destination, dem_map))
    pcr.setglobaloption("lddin")
    riverldd = pcr.lddcreate(riverdem, 1e35, 1e35, 1e35, 1e35)

    riveroutlet = pcr.cover(
        pcr.ifthen(pcr.scalar(riverldd) == 5, pcr.scalar(1000)), 0)
    burn_layer = pcr.cover(
        (pcr.scalar(
            pcr.ifthen(
                pcr.streamorder(riverldd) > 1, pcr.streamorder(riverldd))) - 1)
        * 1000 + riveroutlet,
        0,
    )

    outlets_x, outlets_y = outlets
    n_outlets = len(outlets_x)
    logger.info("Number of outlets: {}".format(n_outlets))
    if n_outlets >= 1:
        outlets_map_numbered = tr.points_to_map(pcr.scalar(0), outlets_x,
                                                outlets_y, 0.5)
        outlets_map = pcr.boolean(outlets_map_numbered)
        # snap outlets to closest river (max 1 cell closer to river)
        outlets_map = pcr.boolean(
            pcr.cover(tr.snaptomap(pcr.ordinal(outlets_map), rivers), 0))

    ## create ldd per catchment
    logger.info("Calculating ldd")
    ldddem = pcr.scalar(clone_map)

    # per subcatchment, burn dem, then create modified dem that fits the ldd of the subcatchment
    # this ldd dem is merged over catchments, to create a global ldd that abides to the subcatchment boundaries
    for idx, shape in enumerate(catchment_shapes):
        logger.info("Computing ldd for catchment " + str(idx + 1) + "/" +
                    str(len(catchment_shapes)))
        image = features.rasterize([shape],
                                   out_shape=src.shape,
                                   all_touched=True,
                                   transform=src.transform)
        catchment = pcr.numpy2pcr(pcr.Scalar, image.copy(), 0)
        dem_burned_catchment = (
            pcr.readmap(os.path.join(destination, dem_map)) *
            pcr.scalar(catchment_domain) * catchment) - burn_layer
        # ldddem_catchment = pcr.lddcreatedem(
        #    dem_burned_catchment, 1e35, 1e35, 1e35, 1e35)
        ldddem = pcr.cover(ldddem, dem_burned_catchment)

    pcr.report(ldddem, os.path.join(destination, "ldddem.map"))

    wflow_ldd = pcr.lddcreate(ldddem, 1e35, 1e35, 1e35, 1e35)
    if n_outlets >= 1:
        # set outlets to pit
        wflow_ldd = pcr.ifthenelse(outlets_map, pcr.ldd(5), wflow_ldd)
        wflow_ldd = pcr.lddrepair(wflow_ldd)

    pcr.report(wflow_ldd, os.path.join(destination, "wflow_ldd.map"))

    # compute stream order, identify river cells
    streamorder = pcr.ordinal(pcr.streamorder(wflow_ldd))
    river = pcr.ifthen(streamorder >= pcr.ordinal(minorder), pcr.boolean(1))
    # find the minimum value in the DEM and cover missing values with a river with this value. Effect is none!! so now left out!
    # mindem = int(np.min(pcr.pcr2numpy(pcr.ordinal(os.path.join(destination, dem_map)),9999999)))
    # dem_resample_map = pcr.cover(os.path.join(destination, dem_map), pcr.scalar(river)*0+mindem)
    # pcr.report(dem_resample_map, os.path.join(destination, dem_map))
    pcr.report(streamorder, os.path.join(destination, streamorder_map))
    pcr.report(river, os.path.join(destination, river_map))

    # deal with your catchments
    if gaugeshp == None:
        logger.info("No gauges defined, using outlets instead")
        gauges = pcr.ordinal(
            pcr.uniqueid(
                pcr.boolean(
                    pcr.ifthen(pcr.scalar(wflow_ldd) == 5, pcr.boolean(1)))))
        pcr.report(gauges, os.path.join(destination, gauges_map))
    # TODO: Add the gauge shape code from StaticMaps.py (line 454-489)
    # TODO: add river length map (see SticMaps.py, line 492-499)

    # since the products here (river length fraction) are not yet used
    # this is disabled for now, as it also takes a lot of computation time
    if False:
        # report river length
        # make a high resolution empty map
        dem_hr_file = os.path.join(destination, "dem_highres.tif")
        burn_hr_file = os.path.join(destination, "burn_highres.tif")
        demburn_hr_file = os.path.join(destination, "demburn_highres.map")
        riv_hr_file = os.path.join(destination, "riv_highres.map")
        wt.gdal_warp(dem_in, clone_hr, dem_hr_file)
        # wt.CreateTif(riv_hr, rows_hr, cols_hr, hr_trans, srs, 0)
        # open the shape layer
        ds = ogr.Open(rivshp)
        lyr = ds.GetLayer(0)
        wt.ogr_burn(
            lyr,
            clone_hr,
            -100,
            file_out=burn_hr_file,
            format="GTiff",
            gdal_type=gdal.GDT_Float32,
            fill_value=0,
        )
        # read dem and burn values and add
        xax_hr, yax_hr, burn_hr, fill = wt.gdal_readmap(burn_hr_file, "GTiff")
        burn_hr[burn_hr == fill] = 0
        xax_hr, yax_hr, dem_hr, fill = wt.gdal_readmap(dem_hr_file, "GTiff")
        dem_hr[dem_hr == fill] = np.nan
        demburn_hr = dem_hr + burn_hr
        demburn_hr[np.isnan(demburn_hr)] = -9999
        wt.gdal_writemap(demburn_hr_file, "PCRaster", xax_hr, yax_hr,
                         demburn_hr, -9999.)
        pcr.setclone(demburn_hr_file)
        demburn_hr = pcr.readmap(demburn_hr_file)

        logger.info("Calculating ldd to determine river length")
        ldd_hr = pcr.lddcreate(demburn_hr, 1e35, 1e35, 1e35, 1e35)
        pcr.report(ldd_hr, os.path.join(destination, "ldd_hr.map"))
        pcr.setglobaloption("unitcell")
        riv_hr = pcr.scalar(
            pcr.streamorder(ldd_hr) >= minorder) * pcr.downstreamdist(ldd_hr)
        pcr.report(riv_hr, riv_hr_file)
        pcr.setglobaloption("unittrue")
        pcr.setclone(clone_map)
        logger.info("Computing river length")
        wt.windowstats(
            riv_hr_file,
            len(yax),
            len(xax),
            trans,
            srs,
            destination,
            stat="fact",
            transform=False,
            logger=logger,
        )
        # TODO: nothing happens with the river lengths yet. Need to decide how to use these

    # report outlet map
    pcr.report(
        pcr.ifthen(pcr.ordinal(wflow_ldd) == 5, pcr.ordinal(1)),
        os.path.join(destination, outlet_map),
    )

    # report subcatchment map
    subcatchment = pcr.subcatchment(wflow_ldd, gauges)
    pcr.report(pcr.ordinal(subcatchment),
               os.path.join(destination, subcatch_map))

    # Report land use map
    if landuse == None:
        logger.info(
            "No land use map used. Preparing {:s} with only ones.".format(
                os.path.join(destination, landuse_map)))
        pcr.report(pcr.nominal(ones), os.path.join(destination, landuse_map))
    else:
        logger.info("Resampling land use from {:s} to {:s}".format(
            os.path.abspath(landuse),
            os.path.join(destination, os.path.abspath(landuse_map)),
        ))
        wt.gdal_warp(
            landuse,
            clone_map,
            os.path.join(destination, landuse_map),
            format="PCRaster",
            gdal_interp=gdalconst.GRA_Mode,
            gdal_type=gdalconst.GDT_Int32,
        )

    # report soil map
    if soil == None:
        logger.info("No soil map used. Preparing {:s} with only ones.".format(
            os.path.join(destination, soil_map)))
        pcr.report(pcr.nominal(ones), os.path.join(destination, soil_map))
    else:
        logger.info("Resampling soil from {:s} to {:s}".format(
            os.path.abspath(soil),
            os.path.join(destination, os.path.abspath(soil_map)),
        ))
        wt.gdal_warp(
            soil,
            clone_map,
            os.path.join(destination, soil_map),
            format="PCRaster",
            gdal_interp=gdalconst.GRA_Mode,
            gdal_type=gdalconst.GDT_Int32,
        )

    if lai == None:
        logger.info(
            "No vegetation LAI maps used. Preparing default maps {:s} with only ones."
            .format(os.path.join(destination, soil_map)))
        pcr.report(pcr.nominal(ones), os.path.join(destination, soil_map))
    else:
        dest_lai = os.path.join(destination, "clim")
        os.makedirs(dest_lai)
        for month in range(12):
            lai_in = os.path.join(lai, "LAI00000.{:03d}".format(month + 1))
            lai_out = os.path.join(dest_lai,
                                   "LAI00000.{:03d}".format(month + 1))
            logger.info("Resampling vegetation LAI from {:s} to {:s}".format(
                os.path.abspath(lai_in), os.path.abspath(lai_out)))
            wt.gdal_warp(
                lai_in,
                clone_map,
                lai_out,
                format="PCRaster",
                gdal_interp=gdalconst.GRA_Bilinear,
                gdal_type=gdalconst.GDT_Float32,
            )

    # report soil map
    if other_maps == None:
        logger.info("No other maps used. Skipping other maps.")
    else:
        logger.info("Resampling list of other maps...")
        for map_file in other_maps:
            map_name = os.path.split(map_file)[1]
            logger.info("Resampling a map from {:s} to {:s}".format(
                os.path.abspath(map_file),
                os.path.join(
                    destination,
                    os.path.splitext(os.path.basename(map_file))[0] + ".map",
                ),
            ))
            wt.gdal_warp(
                map_file,
                clone_map,
                os.path.join(
                    destination,
                    os.path.splitext(os.path.basename(map_file))[0] + ".map",
                ),
                format="PCRaster",
                gdal_interp=gdalconst.GRA_Mode,
                gdal_type=gdalconst.GDT_Float32,
            )

    if clean:
        wt.DeleteList(glob.glob(os.path.join(destination, "*.xml")),
                      logger=logger)
        wt.DeleteList(glob.glob(os.path.join(destination, "clim", "*.xml")),
                      logger=logger)
        wt.DeleteList(glob.glob(os.path.join(destination, "*highres*")),
                      logger=logger)
Example #9
0
    river = tr.ifthen(tr.boolean(strorder >= strRiver),strorder)
    tr.report(river,step2dir + "/wflow_river.map")

    # make subcatchments
    #os.system("col2map --clone " + step2dir + "/cutout.map gauges.col " + step2dir + "/wflow_gauges.map")
    exec "X=tr.array(" + gauges_x + ")" 
    exec "Y=tr.array(" + gauges_y + ")" 


    tr.setglobaloption("unittrue")

    outlmap = tr.points_to_map(dem,X,Y,0.5)
    tr.report(outlmap,step2dir + "/wflow_gauges_.map")
      
    if snapgaugestoriver:    
        print "Snapping gauges to river"
        tr.report(outlmap,step2dir + "/wflow_orggauges.map")
        outlmap= tr.snaptomap(outlmap,river)
        
    outlmap = tr.ifthen(outlmap > 0, outlmap)    
    tr.report(outlmap,step2dir + "/wflow_gauges.map")


    scatch = tr.subcatch(ldd,outlmap)
    tr.report(scatch,step2dir + "/wflow_subcatch.map")


if __name__ == "__main__":
    main()
Example #10
0
def main():
    """
        
    :ivar masterdem: digital elevation model
    :ivar dem: digital elevation model
    :ivar river: optional river map
    """

    # Default values
    strRiver = 8
    masterdem = "dem.map"
    step1dir = "step1"
    step2dir = "step2"
    workdir = "."
    inifile = "wflow_prepare.ini"
    recreate = False
    snapgaugestoriver = False

    try:
        opts, args = getopt.getopt(sys.argv[1:], "W:hI:f")
    except getopt.error as msg:
        usage(msg)

    for o, a in opts:
        if o == "-W":
            workdir = a
        if o == "-I":
            inifile = a
        if o == "-h":
            usage()
        if o == "-f":
            recreate = True

    tr.setglobaloption("unitcell")
    os.chdir(workdir)

    config = OpenConf(workdir + "/" + inifile)

    masterdem = configget(config, "files", "masterdem", "dem.map")
    tr.setclone(masterdem)

    strRiver = int(configget(config, "settings", "riverorder", "4"))

    try:
        gauges_x = config.get("settings", "gauges_x")
        gauges_y = config.get("settings", "gauges_y")
    except:
        print("gauges_x and  gauges_y are required entries in the ini file")
        sys.exit(1)

    step1dir = configget(config, "directories", "step1dir", "step1")
    step2dir = configget(config, "directories", "step2dir", "step2")
    # upscalefactor = float(config.get("settings","upscalefactor"))

    corevolume = float(configget(config, "settings", "corevolume", "1E35"))
    catchmentprecipitation = float(
        configget(config, "settings", "catchmentprecipitation", "1E35")
    )
    corearea = float(configget(config, "settings", "corearea", "1E35"))
    outflowdepth = float(configget(config, "settings", "lddoutflowdepth", "1E35"))

    initialscale = int(configget(config, "settings", "initialscale", "1"))
    csize = float(configget(config, "settings", "cellsize", "1"))

    snapgaugestoriver = bool(
        int(configget(config, "settings", "snapgaugestoriver", "1"))
    )
    lddglobaloption = configget(config, "settings", "lddglobaloption", "lddout")
    tr.setglobaloption(lddglobaloption)
    lu_water = configget(config, "files", "lu_water", "")
    lu_paved = configget(config, "files", "lu_paved", "")

    # X/Y coordinates of the gauges the system
    exec("X=np.array(" + gauges_x + ")")
    exec("Y=np.array(" + gauges_y + ")")

    tr.Verbose = 1

    # make the directories to save results in
    if not os.path.isdir(step1dir + "/"):
        os.makedirs(step1dir)
    if not os.path.isdir(step2dir):
        os.makedirs(step2dir)

    if initialscale > 1:
        print("Initial scaling of DEM...")
        os.system(
            "resample -r "
            + str(initialscale)
            + " "
            + masterdem
            + " "
            + step1dir
            + "/dem_scaled.map"
        )
        print("Reading dem...")
        dem = tr.readmap(step1dir + "/dem_scaled.map")
        ldddem = dem
    else:
        print ("Reading dem...")
        dem = tr.readmap(masterdem)
        ldddem = dem

    try:
        catchmask = config.get("files", "catchment_mask")
    except:
        print("No catchment mask...")
    else:
        print("clipping DEM with mask.....")
        mask = tr.readmap(catchmask)
        ldddem = tr.ifthen(tr.boolean(mask), ldddem)
        dem = tr.ifthen(tr.boolean(mask), dem)

    # See if there is a shape file of the river to burn in
    try:
        rivshp = config.get("files", "river")
    except:
        print("no river file specified")
        outletpointX = float(configget(config, "settings", "outflowpointX", "0.0"))
        outletpointY = float(configget(config, "settings", "outflowpointY", "0.0"))
    else:
        print("river file specified.....")
        try:
            outletpointX = float(configget(config, "settings", "outflowpointX", "0.0"))
            outletpointY = float(configget(config, "settings", "outflowpointY", "0.0"))
        except:
            print(
                "Need to specify the river outletpoint (a point at the end of the river within the current map)"
            )
            exit(1)

        outletpointmap = tr.points_to_map(dem, outletpointX, outletpointY, 0.5)
        tr.report(outletpointmap, step1dir + "/outletpoint.map")
        # rivshpattr = config.get("files","riverattr")
        tr.report(dem * 0.0, step1dir + "/nilmap.map")
        thestr = (
            "gdal_translate -of GTiff "
            + step1dir
            + "/nilmap.map "
            + step1dir
            + "/riverburn.tif"
        )
        os.system(thestr)
        rivshpattr = os.path.splitext(os.path.basename(rivshp))[0]
        os.system(
            "gdal_rasterize -burn 1 -l "
            + rivshpattr
            + " "
            + rivshp
            + " "
            + step1dir
            + "/riverburn.tif"
        )
        thestr = (
            "gdal_translate -of PCRaster "
            + step1dir
            + "/riverburn.tif "
            + step1dir
            + "/riverburn.map"
        )
        os.system(thestr)
        riverburn = tr.readmap(step1dir + "/riverburn.map")
        # Determine regional slope assuming that is the way the river should run
        # Determine regional slope assuming that is the way the river should run
        # tr.setglobaloption("unitcell")
        # demregional=tr.windowaverage(dem,100)
        ldddem = tr.ifthenelse(riverburn >= 1.0, dem - 1000, dem)

    tr.setglobaloption("unittrue")
    upscalefactor = int(csize / tr.celllength())

    print("Creating ldd...")
    ldd = tr.lddcreate_save(
        step1dir + "/ldd.map",
        ldddem,
        recreate,
        outflowdepth=outflowdepth,
        corevolume=corevolume,
        catchmentprecipitation=catchmentprecipitation,
        corearea=corearea,
    )

    print("Determining streamorder...")
    stro = tr.streamorder(ldd)
    tr.report(stro, step1dir + "/streamorder.map")
    strdir = tr.ifthen(stro >= strRiver, stro)
    tr.report(strdir, step1dir + "/streamorderrive.map")
    tr.report(tr.boolean(tr.ifthen(stro >= strRiver, stro)), step1dir + "/rivers.map")

    tr.setglobaloption("unittrue")
    # outlet (and other gauges if given)
    # TODO: check is x/y set if not skip this
    print("Outlet...")

    outlmap = tr.points_to_map(dem, X, Y, 0.5)

    if snapgaugestoriver:
        print("Snapping gauges to nearest river cells...")
        tr.report(outlmap, step1dir + "/orggauges.map")
        outlmap = tr.snaptomap(outlmap, strdir)

    # noutletmap = tr.points_to_map(dem,XX,YY,0.5)
    # tr.report(noutletmap,'noutlet.map')

    tr.report(outlmap, step1dir + "/gauges.map")

    # check if there is a pre-define catchment map
    try:
        catchmask = config.get("files", "catchment_mask")
    except:
        print("No catchment mask, finding outlet")
        # Find catchment (overall)
        outlet = tr.find_outlet(ldd)
        sub = tr.subcatch(ldd, outlet)
        tr.report(sub, step1dir + "/catchment_overall.map")
    else:
        print("reading and converting catchment mask.....")
        os.system(
            "resample -r "
            + str(initialscale)
            + " "
            + catchmask
            + " "
            + step1dir
            + "/catchment_overall.map"
        )
        sub = tr.readmap(step1dir + "/catchment_overall.map")

    print("Scatch...")
    sd = tr.subcatch(ldd, tr.ifthen(outlmap > 0, outlmap))
    tr.report(sd, step1dir + "/scatch.map")

    tr.setglobaloption("unitcell")
    print("Upscalefactor: " + str(upscalefactor))

    if upscalefactor > 1:
        gc.collect()
        print("upscale river length1 (checkerboard map)...")
        ck = tr.checkerboard(dem, upscalefactor)
        tr.report(ck, step1dir + "/ck.map")
        tr.report(dem, step1dir + "/demck.map")
        print("upscale river length2...")
        fact = tr.area_riverlength_factor(ldd, ck, upscalefactor)
        tr.report(fact, step1dir + "/riverlength_fact.map")

        # print("make dem statistics...")
        dem_ = tr.areaaverage(dem, ck)
        tr.report(dem_, step1dir + "/demavg.map")

        print("Create DEM statistics...")
        dem_ = tr.areaminimum(dem, ck)
        tr.report(dem_, step1dir + "/demmin.map")
        dem_ = tr.areamaximum(dem, ck)
        tr.report(dem_, step1dir + "/demmax.map")
        # calculate percentiles
        order = tr.areaorder(dem, ck)
        n = tr.areatotal(tr.spatial(tr.scalar(1.0)), ck)
        #: calculate 25 percentile
        perc = tr.area_percentile(dem, ck, n, order, 25.0)
        tr.report(perc, step1dir + "/dem25.map")
        perc = tr.area_percentile(dem, ck, n, order, 10.0)
        tr.report(perc, step1dir + "/dem10.map")
        perc = tr.area_percentile(dem, ck, n, order, 50.0)
        tr.report(perc, step1dir + "/dem50.map")
        perc = tr.area_percentile(dem, ck, n, order, 33.0)
        tr.report(perc, step1dir + "/dem33.map")
        perc = tr.area_percentile(dem, ck, n, order, 66.0)
        tr.report(perc, step1dir + "/dem66.map")
        perc = tr.area_percentile(dem, ck, n, order, 75.0)
        tr.report(perc, step1dir + "/dem75.map")
        perc = tr.area_percentile(dem, ck, n, order, 90.0)
        tr.report(perc, step1dir + "/dem90.map")
    else:
        print("No fancy scaling done. Going strait to step2....")
        tr.report(dem, step1dir + "/demavg.map")
        Xul = float(config.get("settings", "Xul"))
        Yul = float(config.get("settings", "Yul"))
        Xlr = float(config.get("settings", "Xlr"))
        Ylr = float(config.get("settings", "Ylr"))
        gdalstr = (
            "gdal_translate  -projwin "
            + str(Xul)
            + " "
            + str(Yul)
            + " "
            + str(Xlr)
            + " "
            + str(Ylr)
            + " -of PCRaster  "
        )
        # gdalstr = "gdal_translate  -a_ullr " + str(Xul) + " " + str(Yul) + " " +str(Xlr) + " " +str(Ylr) + " -of PCRaster  "
        print(gdalstr)
        tr.report(tr.cover(1.0), step1dir + "/wflow_riverlength_fact.map")
        # Now us gdat tp convert the maps
        os.system(
            gdalstr
            + step1dir
            + "/wflow_riverlength_fact.map"
            + " "
            + step2dir
            + "/wflow_riverlength_fact.map"
        )
        os.system(
            gdalstr + step1dir + "/demavg.map" + " " + step2dir + "/wflow_dem.map"
        )
        os.system(
            gdalstr + step1dir + "/demavg.map" + " " + step2dir + "/wflow_demmin.map"
        )
        os.system(
            gdalstr + step1dir + "/demavg.map" + " " + step2dir + "/wflow_demmax.map"
        )
        os.system(
            gdalstr + step1dir + "/gauges.map" + " " + step2dir + "/wflow_gauges.map"
        )
        os.system(
            gdalstr + step1dir + "/rivers.map" + " " + step2dir + "/wflow_river.map"
        )
        os.system(
            gdalstr
            + step1dir
            + "/streamorder.map"
            + " "
            + step2dir
            + "/wflow_streamorder.map"
        )
        os.system(
            gdalstr + step1dir + "/gauges.map" + " " + step2dir + "/wflow_outlet.map"
        )
        os.system(
            gdalstr + step1dir + "/scatch.map" + " " + step2dir + "/wflow_catchment.map"
        )
        os.system(gdalstr + step1dir + "/ldd.map" + " " + step2dir + "/wflow_ldd.map")
        os.system(
            gdalstr + step1dir + "/scatch.map" + " " + step2dir + "/wflow_subcatch.map"
        )

        if lu_water:
            os.system(gdalstr + lu_water + " " + step2dir + "/WaterFrac.map")

        if lu_paved:
            os.system(gdalstr + lu_paved + " " + step2dir + "/PathFrac.map")

        try:
            lumap = config.get("files", "landuse")
        except:
            print("no landuse map...creating uniform map")
            # clone=tr.readmap(step2dir + "/wflow_dem.map")
            tr.setclone(step2dir + "/wflow_dem.map")
            tr.report(tr.nominal(1), step2dir + "/wflow_landuse.map")
        else:
            os.system(
                "resample --clone "
                + step2dir
                + "/wflow_dem.map "
                + lumap
                + " "
                + step2dir
                + "/wflow_landuse.map"
            )

        try:
            soilmap = config.get("files", "soil")
        except:
            print("no soil map..., creating uniform map")
            tr.setclone(step2dir + "/wflow_dem.map")
            tr.report(tr.nominal(1), step2dir + "/wflow_soil.map")
        else:
            os.system(
                "resample --clone "
                + step2dir
                + "/wflow_dem.map "
                + soilmap
                + " "
                + step2dir
                + "/wflow_soil.map"
            )
Example #11
0
    tr.report(stro,step1dir + "/streamorder.map")
    strdir = tr.ifthen(stro >= strRiver, stro)
    tr.report(strdir,step1dir + "/streamorderrive.map")
    tr.report(tr.boolean(tr.ifthen(stro >= strRiver, stro)),step1dir + "/rivers.map")

    tr.setglobaloption("unittrue")
    # outlet (and other gauges if given)
    #TODO: check is x/y set if not skip this
    print("Outlet...")

    outlmap = tr.points_to_map(dem,X,Y,0.5)

    if snapgaugestoriver:
        print "Snapping gauges to nearest river cells..."
        tr.report(outlmap,step1dir + "/orggauges.map")
        outlmap= tr.snaptomap(outlmap,strdir)


    #noutletmap = tr.points_to_map(dem,XX,YY,0.5)
    #tr.report(noutletmap,'noutlet.map')


    tr.report(outlmap,step1dir + "/gauges.map")

        # check if there is a pre-define catchment map
    try:
        catchmask = config.get("files","catchment_mask")
    except:
        print "No catchment mask, finding outlet"
        # Find catchment (overall)
        outlet = tr.find_outlet(ldd)