Beispiel #1
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def launchFit(sensorName, cmdPath, workingDirectory, outDirectory, outGridPath,
              outputGrid_tileNameField, outPixRes, outputProjection,
              interpolator, inputGrid_tileNameField, inputGRID, arboMask,
              masksInitValues, masksPatterns, arboRaster, rasterInitValue,
              rasterPatterns, TileFolder):

    createOutGrid(TileFolder, rasterPatterns[0], outputProjection,
                  outputGrid_tileNameField, outGridPath)
    intersections = getIntersections(inputGRID, outGridPath,
                                     inputGrid_tileNameField,
                                     outputGrid_tileNameField)
    allCmd = []
    for refTile, tiles in intersections:
        outFolder_tile = outDirectory + "/" + refTile
        if not os.path.exists(outFolder_tile):
            os.mkdir(outFolder_tile)
        minX_ref, maxX_ref, minY_ref, maxY_ref = getTileEnvelope(
            inputGRID, inputGrid_tileNameField, refTile)
        for currentTile in tiles:
            datas, dates = getAllDatasByDate(currentTile, rasterPatterns,
                                             masksPatterns, arboRaster,
                                             arboMask, TileFolder,
                                             rasterInitValue, masksInitValues)
            for currentDatas, currentDate in zip(datas, dates):
                outFolderDate = outFolder_tile + "/" + sensorName + "_" + refTile + "_" + currentDate + "_" + currentTile
                outFolderDateMask = outFolderDate + "/MASKS"
                if not os.path.exists(outFolderDate):
                    os.mkdir(outFolderDate)
                    os.mkdir(outFolderDateMask)
                for currentRaster in currentDatas:
                    folder = outFolderDate
                    print currentRaster
                    if checkMaskFromRaster(currentRaster[0], masksPatterns):
                        folder = outFolderDateMask
                    outFolder = folder
                    if workingDirectory:
                        folder = workingDirectory + "/"
                    outName = currentRaster[0].split("/")[-1].replace(
                        currentTile,
                        refTile).replace(".tif", "_" + currentTile + ".tif")
                    out = folder + "/" + outName
                    cmd = "gdalwarp -t_srs EPSG:" + outputProjection + " -wo INIT_DEST=" + currentRaster[
                        1] + " -te " + str(minX_ref) + " " + str(
                            minY_ref
                        ) + " " + str(maxX_ref) + " " + str(
                            maxY_ref
                        ) + " -tr " + outPixRes + " -" + outPixRes + " -r " + interpolator + " " + currentRaster[
                            0] + " " + out
                    if not os.path.exists(outFolder + "/" + outName):
                        allCmd.append(cmd)
                        run(cmd)
                        if workingDirectory:
                            shutil.copy(out, outFolder + "/" + outName)
                            os.remove(out)
    fu.writeCmds(cmdPath, allCmd)
Beispiel #2
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def createRegionsByTiles(shapeRegion,
                         field_Region,
                         pathToEnv,
                         pathOut,
                         pathWd,
                         logger_=logger):
    """
    create a shapeFile into tile's envelope for each regions in shapeRegion and for each tiles
    IN :
        - shapeRegion : the shape which contains all regions
        - field_Region : the field into the region's shape which describes each tile belong to which model
        - pathToEnv : path to the tile's envelope with priority
        - pathOut : path to store all resulting shapeFile
        - pathWd : path to working directory (not mandatory, due to cluster's architecture default = None)
    """
    pathName = pathWd
    if pathWd == None:
        #sequential case
        pathName = pathOut

    #getAllTiles
    AllTiles = fu.FileSearch_AND(pathToEnv, True, ".shp")
    regionList = fu.getFieldElement(shapeRegion, "ESRI Shapefile",
                                    field_Region, "unique")
    shpRegionList = splitVectorLayer(shapeRegion, field_Region, "int",
                                     regionList, pathName)
    AllClip = []
    for shp in shpRegionList:
        for tile in AllTiles:
            logger_.info("Extract %s in %s", shp, tile)
            pathToClip = fu.ClipVectorData(shp, tile, pathName)
            AllClip.append(pathToClip)

    if pathWd:
        for clip in AllClip:
            cmd = "cp " + clip.replace(".shp", "*") + " " + pathOut
            run(cmd)
    else:
        for shp in shpRegionList:
            path = shp.replace(".shp", "")
            os.remove(path + ".shp")
            os.remove(path + ".shx")
            os.remove(path + ".dbf")
            os.remove(path + ".prj")

    return AllClip
Beispiel #3
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def splitVectorLayer(shp_in, attribute, attribute_type, field_vals, pathOut):
    """
        Split a vector layer in function of its attribute
        ARGs:
            INPUT:
                - shp_in: input shapefile
                - attribute: attribute to look for
                - attribute_type: attribute type which could be "string" or "int"
            OUTPUT
                - shp_out_list: list of shapefile names
    """
    short_shp_in = shp_in.split('.')
    shp_out_list = []
    name = shp_in.split("/")[-1].split(".")[0]

    if attribute_type == "string":
        for val in field_vals:
            if val != "None":
                shp_out = pathOut + "/" + name + "_region_" + str(val) + ".shp"
                if (not os.path.isfile(shp_out)):
                    cmd = "ogr2ogr "
                    cmd += "-where '" + attribute + ' = "' + val + '"' + "' "
                    cmd += shp_out + " "
                    cmd += shp_in + " "
                    run(cmd)
                shp_out_list.append(shp_out)

    elif attribute_type == "int":
        for val in field_vals:
            shp_out = pathOut + "/" + name + "_region_" + str(val) + ".shp"

            if (not os.path.isfile(shp_out)):
                cmd = "ogr2ogr "
                cmd += "-where '" + attribute + " = " + str(val) + "' "
                cmd += shp_out + " "
                cmd += shp_in + " "
                run(cmd)
            shp_out_list.append(shp_out)
    else:
        raise Exception("Error for attribute_type ", attribute_type,
                        '! Should be "string" or "int"')

    return shp_out_list
Beispiel #4
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def generateRaster(raster_path, features_path, driver, field, valField, output,
                   epsg):
    """
    """

    driver = ogr.GetDriverByName(driver)
    features = driver.Open(features_path, 0)
    if features is None:
        raise Exception("Could not open " + features_path)
    lyr = features.GetLayer()
    allGeom = getAllGeom(lyr, field, valField)
    minX, maxX, minY, maxY = getBBox(raster_path, allGeom)

    layerName = features_path.split("/")[-1].split(".")[0]
    fieldType = getFieldType(lyr, field)
    sep = ""
    if not isinstance(fieldType, int): sep = "'"
    valField = [
        "(" + field + "=" + sep + currentValToKeep + sep + ")"
        for currentValToKeep in valField
    ]
    csql = " OR ".join(valField)

    sizeX, sizeY = getRasterResolution(raster_path)
    cmd = "gdalwarp -overwrite -t_srs EPSG:" + str(epsg) + " -tr " + str(
        sizeX
    ) + " " + str(
        sizeX
    ) + " -of GTiff -cl " + layerName + " -csql \"SELECT * FROM " + layerName + " WHERE (" + csql + ")\" -ot Byte -te " + str(
        minX
    ) + " " + str(minY) + " " + str(maxX) + " " + str(
        maxY
    ) + " -cutline " + features_path + " -crop_to_cutline " + raster_path + " " + output
    run(cmd)

    ds = gdal.Open(output, GA_Update)
    proj = ds.GetProjection()
    gt = ds.GetGeoTransform()
    gt2 = (minX, sizeX, gt[2], maxY, gt[4], sizeY)

    ds.SetGeoTransform(gt2)
Beispiel #5
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def launchFit(noDataM, noDataR, tileFolder, currentTile, sensorName, S2Folder, S2Bands, masks):
    S2Bands = S2Bands+masks
    noDataM = dict(list(zip(masks, noDataM)))
    try:
        workingDirectory = os.environ["TMPDIR"]
    except:
        workingDirectory = None

    content = os.listdir(tileFolder)
    AllCmd = []

    if os.path.isdir(tileFolder+"/"+currentTile):
        folder = tileFolder+"/"+currentTile
        sameDateFolder = getTileSameDate(folder)
    for currentSameDate in sameDateFolder:
        buf = []
        cpt = 0
        for currentBand in S2Bands:
            print("Current Band : "+currentBand)
            buf.append([])
            AllTiles = []
            for currentFolder in currentSameDate:
                print(currentFolder)
                path = FileSearch_fast(currentFolder, True, currentBand, ".tif")
                tile = path.split("/")[-1].split("_")[-1].replace(".tif", "")
                X, Y, inEPSG = getTileOrigin(tile, S2Folder)
                X_conv, Y_conv = converCoord((X, Y), inEPSG, 2154)
                buf[cpt].append((path, X_conv, Y_conv))
                t = path.split("/")[-1].split("_")[-1].replace(".tif", "")# -> origin tile name in raster to fit
                currentDate = path.split("/")[-1].split("_")[1].split("-")[0]#-> current date in raster to fit
                currentDestTile = path.split("/")[-1].split("_")[3]#destination tile Name in raster name
                if t not in AllTiles:
                    AllTiles.append(t)

            outFolder = tileFolder+"/"+currentDestTile+"/"+sensorName+"_"+currentDestTile+"_"+currentDate+"_"+"_".join(AllTiles)
            initVal = noDataR
            if currentBand in masks:
                outFolder = outFolder+"/MASKS"
                initVal = noDataM[currentBand]
            outName = "_".join(buf[cpt][0][0].split("/")[-1].split("_")[0:-1])+"_"+"_".join(AllTiles)+".tif"
            #case 2 acquisitions same day -> remove hours information
            tmp = []
            tmpList = outName.split("_")
            for i in range(len(tmpList)):
                if i != rasterPosDate:
                    tmp.append(tmpList[i])
                else:
                    tmp.append(currentDate)
            outName = "_".join(tmp)
            #############################
            if not os.path.exists(outFolder):
                os.mkdir(outFolder)
            priorityPaths = " ".join([currentPath for currentPath, X, Y in sortTiles(buf[cpt])])
            if not os.path.exists(outFolder+"/"+outName):
                workingFolder = outFolder
                if workingDirectory:
                    workingFolder = workingDirectory
                cmd = "gdal_merge.py -init "+str(initVal)+" -n "+str(initVal)+" -o "+workingFolder+"/"+outName+" "+priorityPaths
                cmd2 = "gdal_merge.py -init "+str(initVal)+" -n "+str(initVal)+" -o "+workingFolder+"/"+outName+" "+priorityPaths+" | "+outFolder+"/"+outName
                AllCmd.append(cmd)
                addLineToFile(cmdPath, cmd2)

                run(cmd)
                if workingDirectory:
                    shutil.copy(workingFolder+"/"+outName, outFolder+"/"+outName)
                    os.remove(workingFolder+"/"+outName)
            cpt += 1
Beispiel #6
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def mosaicFromShape(rasters, shape, rasterOut, workingDir=None):
    """
    usage : from a shape clip rasters and mosaic them (upper left priority).

    IN
    rasters [list of string] : path to rasters
    shape [string] : vector pathg
    rasterOut [string] : output path
    workingDir [string]

    OUT
    """

    #sort input raster by origin (upperLeft)
    rasters_p = sorted([(raster, fut.getRasterExtent(raster))
                        for raster in rasters],
                       key=upperLeft)[::-1]

    outputDirectory = os.path.split(rasterOut)[0]
    wDir = outputDirectory
    tmp_files_vec = []
    tmp_files_raster = []

    if workingDir:
        wDir = workingDir

    for raster, coordinates in rasters_p:
        rasterName = os.path.splitext(os.path.split(raster)[-1])[0]
        raster_footPrint = os.path.join(wDir, rasterName + ".shp")
        if os.path.exists(raster_footPrint):
            while os.path.exists(raster_footPrint):
                raster_footPrint = raster_footPrint.replace(
                    ".shp", "_" + str(random.randint(1, 1000)) + ".shp")

        #raster footPrint
        genRasterEnvelope(raster, raster_footPrint)
        tmp_files_vec.append(raster_footPrint)

        clip = raster_footPrint.replace(".shp", "_Clip.shp")
        clip_raster = raster_footPrint.replace(".shp", "_Clip.tif")
        inter = genIntersectionShape(raster_footPrint, shape, clip)

        cmd = "gdalwarp -crop_to_cutline -cutline " + clip + " " + raster + " " + clip_raster
        run(cmd)
        tmp_files_raster.append(clip_raster)
        tmp_files_vec.append(clip)

    #mosaic using gdal_merge.py, the last image will be copied over earlier ones
    rasters_clip = " ".join(tmp_files_raster[::-1])
    cmd = "gdal_merge.py -o " + rasterOut + " -n 0 " + rasters_clip
    run(cmd)

    #clean tmp files
    for vec in tmp_files_vec:
        fut.removeShape(vec.replace(".shp", ""),
                        [".prj", ".shp", ".dbf", ".shx"])
    for img in tmp_files_raster:
        os.remove(img)

    if workingDir:
        shutil.copy(rasterOut, outputDirectory)