def polygonize(
self,
field_name="dn",
vector_path="/vsimem/polygonized.shp",
layer_name="poly",
verbose=False,
no_mask=False,
):
global _mem_num
prj = self.ds.GetProjection()
vector_path = f"/vsimem/polygonized_{_mem_num}.shp"
_mem_num = _mem_num + 1
ds_vector = DRIVER_OGR_SHP.CreateDataSource(vector_path)
srs = osr.SpatialReference(wkt=prj)
layer_vector = ds_vector.CreateLayer(layer_name, srs=srs)
raster_field = ogr.FieldDefn(field_name, type_mapping[self.band.DataType])
layer_vector.CreateField(raster_field)
if no_mask:
no_data_band = None
else:
no_data_band = self.band.GetMaskBand()
if verbose:
gdal.Polygonize(self.band, no_data_band, layer_vector, 1, [])
else:
gdal.Polygonize(
self.band, no_data_band, layer_vector, 1, [], callback=progress_callback
)
return ds_vector, layer_vector
def polygonise_travel_times(self):
"""Function to polygonise binary raster using GDAL/OGR for input to PostGIS for Zonal statistics.
Arguments:
None
Returns:
None
"""
latlong = osr.SpatialReference()
latlong.ImportFromEPSG(4326) #Set SRS
polygon = self.shp_bin.encode('utf-8') #Set encodings
in_poly_ds = gdal.Open(self.raster_bin) #Get raster data
polygon_band = in_poly_ds.GetRasterBand(1)
drv = ogr.GetDriverByName(
"ESRI Shapefile") #Set output as ESRI Shp file
dst_ds = drv.CreateDataSource(polygon)
dst_layer = dst_ds.CreateLayer(polygon, srs=latlong)
newField = ogr.FieldDefn(
'Value', ogr.OFTInteger
) # Create field to hold raster binary values (PostGIS selects only 1 and NOT 0)
dst_layer.CreateField(newField)
#gdal.Polygonize(polygon_band, None, dst_layer, -1, ["value"], callback=None)
gdal.Polygonize(polygon_band, None, dst_layer, 0, [],
callback=None) #Polygonize raster
def polygonize_raster(img_path, outShp):
"""
Generates a shapefile (outShp) from the input image (img_path).
"""
try:
sourceRaster = gdal.Open(img_path)
band = sourceRaster.GetRasterBand(1)
driver = ogr.GetDriverByName("ESRI Shapefile")
# If shapefile already exist, delete it
if os.path.exists(outShp):
driver.DeleteDataSource(outShp)
outDatasource = driver.CreateDataSource(outShp)
# get proj from raster
srs = osr.SpatialReference()
srs.ImportFromWkt(sourceRaster.GetProjectionRef())
# create layer with proj
outLayer = outDatasource.CreateLayer(outShp, srs)
# Add class column to shapefile
newField = ogr.FieldDefn('DN', ogr.OFTInteger)
outLayer.CreateField(newField)
gdal.Polygonize(band, None, outLayer, 0, [], callback=None)
outDatasource.Destroy()
sourceRaster = None
except Exception as e:
print('gdal Polygonize Error: ' + str(e))
def main():
args = getArgs()
if args.verbose:
print args
raster = gdal.Open(args.input, GA_ReadOnly)
if args.band:
band = raster.GetRasterBand(args.band)
else:
band = raster.GetRasterBand(1)
driver = ogr.GetDriverByName("ESRI Shapefile")
vector = driver.CreateDataSource(args.output)
projection = osr.SpatialReference()
projection.ImportFromWkt(raster.GetProjectionRef())
layer = vector.CreateLayer("out", srs=projection)
field = "class"
field_def = ogr.FieldDefn(field, ogr.OFTInteger)
layer.CreateField(field_def)
field_type_example = 0
maskband = None
options = []
output = gdal.Polygonize(band, maskband, layer, field_type_example,
options)
band = None
raster = None
shapefile = None
def tiff_to_shp(tiff_path, shp_path, proj=None):
"""栅格转矢量"""
# 袁小棋贡献
# 参数类型检查
if isinstance(tiff_path, gdal.Dataset):
dataset = tiff_path
else:
dataset = gdal.Open(tiff_path)
# -------------------------------------------------------
input_band = dataset.GetRasterBand(1)
# create output datasource
shp_driver = ogr.GetDriverByName("ESRI Shapefile")
# 获取坐标
if proj is None:
proj = osr.SpatialReference()
proj.SetWellKnownGeogCS("WGS84")
# create output file name
output_shapefile = shp_driver.CreateDataSource(shp_path)
new_shapefile = output_shapefile.CreateLayer(shp_path[:-4], proj)
gdal.Polygonize(input_band, None, new_shapefile, -1, [], callback=None)
# 当输入格式是 float 需要用下面一个函数
# gdal.FPolygonize(input_band, None, new_shapefile, -1, [], callback=None, )
new_shapefile.SyncToDisk()
logging.info('tiff_to_shp success')
def polygonize(input_tif, band, epsg):
epsg_code = epsg.split(':')[1]
srs = osr.SpatialReference()
srs.ImportFromEPSG(int(epsg_code))
source_raster = gdal.Open(input_tif)
band = source_raster.GetRasterBand(band)
band_array = band.ReadAsArray()
out_vector_file = "polygonized.json"
driver = ogr.GetDriverByName('GeoJSON')
out_data_source = driver.CreateDataSource(out_vector_file + "")
out_layer = out_data_source.CreateLayer(out_vector_file, srs=srs)
new_field = ogr.FieldDefn('change_detection', ogr.OFTInteger)
out_layer.CreateField(new_field)
gdal.Polygonize(band, None, out_layer, 0, [], callback=None)
out_data_source = None
source_raster = None
data = json.loads(open(out_vector_file).read())
gdf = gp.GeoDataFrame.from_features(data['features'])
gdf.crs = {'init': 'epsg:{}'.format(epsg_code)}
gdf = gdf.to_crs(epsg=epsg_code)
os.remove(out_vector_file)
return gdf
def polygonize_scene(f_img, f_vct):
#-------------- generate original shaplefile, complex polygon and in a UTM projection
f_temp = os.path.split(f_vct)[0] + '/lakes_ori.shp'
ds_img = gdal.Open(f_img)
band = ds_img.GetRasterBand(1)
projection = ds_img.GetProjection()
geo_transform = ds_img.GetGeoTransform()
driver = ogr.GetDriverByName("ESRI Shapefile")
if os.path.exists(f_temp):
driver.DeleteDataSource(f_temp)
ds_out = driver.CreateDataSource(f_temp)
layer_out = ds_out.CreateLayer("polygonized", srs=None)
field_new = ogr.FieldDefn('Code_uniq', ogr.OFTInteger)
layer_out.CreateField(field_new)
gdal.Polygonize(band, None, layer_out, 0, [], callback=None)
ds_out.Destroy()
del ds_img
f_prj = f_temp[:-3] + 'prj'
fo_prj = open(f_prj, 'w')
fo_prj.write(projection)
fo_prj.close()
#-------------- simplify and reprojct
cmd_ogr = 'ogr2ogr -overwrite -simplify 30 -where \"Code_uniq>0\" -t_srs "+proj=aea +lat_1=25.0 +lat_2=47.0 +lon_0=105.0 +x_0=0 +y_0=0 +datum=WGS84" ' + f_vct + ' ' + f_temp
_rs = lib_IO.run_exe(cmd_ogr)
print f_vct
driver = ogr.GetDriverByName("ESRI Shapefile")
driver.DeleteDataSource(f_temp)
def pcr2Shapefile(srcMap, dstShape, fieldName):
"""
polygonize a pcraster map into a shapefile
srcMap: string, path to PCRaster map
dstShape: string, path to shapefile
fieldName: string, name of the item in the shapefile
"""
gdal.UseExceptions()
#-create a new shapefile
driver = ogr.GetDriverByName("ESRI Shapefile")
if os.path.exists(dstShape):
driver.DeleteDataSource(dstShape)
destinationDataSet = driver.CreateDataSource(dstShape)
destinationLayer = destinationDataSet.CreateLayer('TEMP', srs=None)
newField = ogr.FieldDefn(fieldName, ogr.OFTInteger)
destinationLayer.CreateField(newField)
#-open the source data and polygonize into new field
sourceDataSet = gdal.Open(srcMap)
sourceBand = sourceDataSet.GetRasterBand(1)
gdal.Polygonize(sourceBand, None, destinationLayer, 0, [], callback=None)
#-Destroy the destination dataset
destinationDataSet.Destroy()
def polygonize_to_shape(inraster, out_shape, out_epsg=4326, mask=None):
"""
This function takes an input raster and polygonizes it.
:param raster: input raster file
:param mask: mask file
:param out_shape: output shapefile
:param srs: spatial reference system in EPSG code
:return:
"""
raster = gdal.Open(inraster)
src_band = raster.GetRasterBand(1)
if mask is not None:
mask_file = gdal.Open(mask)
mask_band = mask_file.GetRasterBand(1)
else:
mask_band = src_band
srs = osr.SpatialReference()
srs.ImportFromEPSG(out_epsg)
dst_layername = out_shape
drv = ogr.GetDriverByName("ESRI Shapefile")
dstfile = drv.CreateDataSource(dst_layername)
dst_layer = dstfile.CreateLayer(dst_layername, srs=srs)
gdal.Polygonize(src_band, mask_band, dst_layer, -1, [], callback=None)
def raster_to_vector_mask(raster_object, output_path, no_data=[0]):
raster_array = raster_object.read_data_file_as_array()
for i in no_data:
raster_array[raster_array != i] = 0
raster_array[raster_array != 0] = 1
mask_file = create_filename(output_path, 'mask.tif')
create_raster_from_reference(mask_file, raster_array, raster_object.get_file())
mask_raster = raster.Data(mask_file)
ds = mask_raster._open_file()
rb = ds.GetRasterBand(1)
dst_layername = 'POLYGONIZED_STUFF'
drv = ogr.GetDriverByName(str('ESRI Shapefile'))
dst_ds = drv.CreateDataSource(output_path)
dst_layer = dst_ds.CreateLayer(dst_layername, srs = None )
#dst_layer.SetSpatialRef(raster.get_spatial_reference())
gdal.Polygonize(rb, None, dst_layer, -1, [])
def polygonize(url, date, originator):
ds = gdal.Open(url)
srs = osr.SpatialReference(wkt=ds.GetProjection())
band = ds.GetRasterBand(1)
band_array = band.ReadAsArray()
out_geojson = 'polygonized.json'
driver = ogr.GetDriverByName('GeoJSON')
out_data_source = driver.CreateDataSource(out_geojson + "")
out_layer = out_data_source.CreateLayer('polygonized', srs=srs)
new_field = ogr.FieldDefn('hot_spot', ogr.OFTInteger)
out_layer.CreateField(new_field)
gdal.Polygonize(band, None, out_layer, 0, [], callback=None)
out_data_source = None
ds = None
data = json.loads(open(out_geojson).read())
gdf = gp.GeoDataFrame.from_features(data['features'])
gdf = gdf[gdf['hot_spot'] == 1]
gdf['date'] = date
gdf['originator'] = originator
gdf.crs = {'init': 'epsg:{}'.format(srs.GetAttrValue('AUTHORITY', 1))}
os.remove(out_geojson)
return gdf
def save_to_vector(self, fname):
#create a temporary gdal raster to read from
mem_driver = gdal.GetDriverByName('MEM')
mem_ds = mem_driver.Create('', self.xsize(), self.ysize(), 1,
GDT_Float32)
src_band = mem_ds.GetRasterBand(1)
src_band.WriteArray(self._raster, 0, 0)
#convert to vector
driver = ogr.GetDriverByName('ESRI Shapefile')
dst_ds = driver.CreateDataSource(fname)
#file already exists
if dst_ds is None:
raise IOError('File already exists. Please select another file.')
dst_layer = dst_ds.CreateLayer('HRUs')
fd = ogr.FieldDefn('DN', ogr.OFTInteger)
dst_layer.CreateField(fd)
dst_field = 0
prog_func = gdal.TermProgress
options = []
#result = gdal.Polygonize( src_band, None, dst_layer, 0 )
result = gdal.Polygonize(src_band,
None,
dst_layer,
dst_field,
options,
callback=prog_func)
def polygonize_scene(p_render,f_img,f_vct):
#-------------- generate original shaplefile, complex polygon and in a UTM projection
f_temp = p_render + '/lakes_ori.shp'
ds_img = gdal.Open(f_img)
band = ds_img.GetRasterBand(1)
projection = ds_img.GetProjection()
geo_transform = ds_img.GetGeoTransform()
driver = ogr.GetDriverByName("ESRI Shapefile")
if os.path.exists(f_temp):
driver.DeleteDataSource(f_temp)
sr_in = osr.SpatialReference()
sr_in.ImportFromWkt(projection)
ds_out = driver.CreateDataSource(f_temp)
layer_out = ds_out.CreateLayer("polygonized", srs=sr_in)
sub__add_fields(layer_out)
gdal.Polygonize( band, None, layer_out, 0, [], callback=None )
sub__update_field_value(f_vct,layer_out)
ds_out.Destroy()
del ds_img
#-------------- simplify and reprojct
cmd_ogr = 'ogr2ogr -overwrite -simplify 25 -where \"Code_uniq>0\" ' + f_vct + ' ' + f_temp
_rs = lib_IO.run_exe(cmd_ogr)
print f_vct
driver = ogr.GetDriverByName("ESRI Shapefile")
def mask_to_polygon_in_memory(original_data, array, field_name='label'):
geotrans = original_data.GetGeoTransform()
proj = original_data.GetProjection()
driver = gdal.GetDriverByName('MEM')
dataset = driver.Create('', array.shape[1], array.shape[0], 1,
gdal.GDT_Float32)
dataset.GetRasterBand(1).WriteArray(array)
dataset.SetProjection(proj)
dataset.SetGeoTransform(geotrans)
band = dataset.GetRasterBand(1)
driver_mask = gdal.GetDriverByName('MEM')
ds_mask = driver_mask.Create('', array.shape[1], array.shape[0], 1,
gdal.GDT_Float32)
ds_mask.SetGeoTransform(geotrans)
ds_mask.SetProjection(proj)
ds_mask_array = (array > 0).astype(np.int32)
ds_mask.GetRasterBand(1).WriteArray(ds_mask_array)
mask_band = ds_mask.GetRasterBand(1)
srs = osr.SpatialReference(wkt=proj)
driver = gdal.GetDriverByName("Memory")
outDatasource = driver.Create('', 0, 0, 0, gdal.GDT_Float32)
# outDatasource = driver.CreateDataSource('')
outLayer = outDatasource.CreateLayer("polygonized", srs=srs)
if field_name is None:
field_name = 'MyFLD'
newField = ogr.FieldDefn(field_name, ogr.OFTInteger)
outLayer.CreateField(newField)
gdal.Polygonize(band, mask_band, outLayer, 0, [], callback=None)
return outDatasource
def raster2vector(path_raster, path_vector, output_format):
if output_format.lower() == 'kml':
format = 'KML'
ext = '.kml'
elif output_format.lower() == 'geojson':
format = 'Geojson'
ext = '.json'
elif output_format.lower() == 'shp':
format = 'ESRI Shapefile'
ext = '.shp'
else:
format = 'ESRI Shapefile'
ext = '.shp'
# Generate exceptions
gdal.UseExceptions()
src_ds = gdal.Open(path_raster)
num_band = src_ds.RasterCount
temp = []
for i in range(1, num_band + 1):
if src_ds is None:
print('Unable to open %s' % src_fileName)
sys.exit(1)
srcband = src_ds.GetRasterBand(i)
maskband = srcband.GetMaskBand()
dst_layername = os.path.join(
path_vector,
os.path.splitext(os.path.basename(path_raster))[0] + '_b' +
str(i) + ext)
temp.append(dst_layername)
dst_fieldname = 'value'
drv = ogr.GetDriverByName(format)
# Saving vectors by individual bands
dst_ds = drv.CreateDataSource(dst_layername)
source_srs = osr.SpatialReference()
source_srs.ImportFromWkt(src_ds.GetProjectionRef())
dst_layer = dst_ds.GetLayerByName(dst_layername)
dst_layer = dst_ds.CreateLayer(dst_layername,
geom_type=ogr.wkbPolygon,
srs=source_srs)
fd = ogr.FieldDefn(dst_fieldname, ogr.OFTInteger)
dst_layer.CreateField(fd)
dst_field = 0
gdal.Polygonize(srcband, maskband, dst_layer, dst_field, callback=None)
srcband = None
src_ds = None
dst_ds = None
mask_ds = None
print('Vector successfully converted to %s' % (dst_layername))
return temp
def classify(prepros_folder):
for file in os.listdir(prepros_folder):
### Folder, date & timestamp
classification = rootpath + "\\classification"
scene_name = str(prepros_folder.split("\\")[X])[:32] # [X] element of filepath, change this to match scene name. [:32] first caracters of element
print("scene_name:", scene_name)
output_folder = os.path.join(classification, scene_name)
print("output_folder:", output_folder)
polarization = str(file)[46:48] # polarization from filename
if not os.path.exists(output_folder):
os.mkdir(output_folder)
GPF.getDefaultInstance().getOperatorSpiRegistry().loadOperatorSpis()
HashMap = snappy.jpy.get_type('java.util.HashMap')
gc.enable()
sentinel_1 = ProductIO.readProduct(os.path.join(prepros_folder, file))
res = [20, 50] # parameters for CFAR
for r in res:
resolution = r
gd_window = resolution * 12.0
bg_window = resolution * 37.0
# AdaptiveThresholding (Constant False Alarm Rate CFAR)
parameters = HashMap()
parameters.put('targetWindowSizeInMeter', resolution)
parameters.put('guardWindowSizeInMeter', gd_window)
parameters.put('backgroundWindowSizeInMeter', bg_window)
parameters.put('pfa', 6.0)
target_1 = GPF.createProduct("AdaptiveThresholding", parameters, sentinel_1)
parameters = None
# Subset (extracting classification band)
parameters = HashMap()
parameters.put('bandNames', 'Sigma0_' + polarization + '_ship_bit_msk')
outfile = output_folder + "\\" + scene_name + "_" + polarization + "_cfar_" + str(resolution) + "m"
target_2 = GPF.createProduct("Subset", parameters, target_1)
ProductIO.writeProduct(target_2, outfile, 'GeoTIFF-BigTIFF', pm)
# Classification to vector
ds = gdal.Open(str(outfile + ".tif"))
rasterband = ds.GetRasterBand(1)
dst_layername = outfile + "_Iceberg_outline"
drv = ogr.GetDriverByName("GeoJSON")
dst_ds = drv.CreateDataSource(dst_layername + ".geojson")
dest_srs = ogr.osr.SpatialReference()
dest_srs.ImportFromEPSG(4326)
dst_layer = dst_ds.CreateLayer(dst_layername, dest_srs)
gdal.Polygonize(rasterband, rasterband, dst_layer, -1, [], callback=None) # (input, mask, dest_layer,,,)
def raster_to_shpfile(src_path, band_num, dst_layername):
src_ds = gdal.Open( src_path)
assert src_ds
srcband = src_ds.GetRasterBand(band_num)
drv = ogr.GetDriverByName("ESRI Shapefile")
dst_ds = drv.CreateDataSource(dst_layername + ".shp" )
dst_layer = dst_ds.CreateLayer(dst_layername, srs = None )
gdal.Polygonize( srcband, None, dst_layer, -1, [], callback=None )
return dst_layer
def polygonize(rasterTemp, outShp, sieveSize=1):
sourceRaster = gdal.Open(rasterTemp)
band = sourceRaster.GetRasterBand(1)
driver = ogr.GetDriverByName("ESRI Shapefile")
# If shapefile already exist, delete it
if os.path.exists(outShp):
driver.DeleteDataSource(outShp)
outDatasource = driver.CreateDataSource(outShp)
# get proj from raster
srs = osr.SpatialReference()
srs.ImportFromWkt(sourceRaster.GetProjectionRef())
# create layer with proj
outLayer = outDatasource.CreateLayer(outShp, srs)
# Add class column (1,2...) to shapefile
newField = ogr.FieldDefn('grid_code', ogr.OFTInteger)
outLayer.CreateField(newField)
gdal.Polygonize(band, None, outLayer, 0, [], callback=None)
outDatasource.Destroy()
sourceRaster = None
band = None
try:
# Add area for each feature
ioShpFile = ogr.Open(outShp, update=1)
lyr = ioShpFile.GetLayerByIndex(0)
lyr.ResetReading()
field_defn = ogr.FieldDefn("Area", ogr.OFTReal)
lyr.CreateField(field_defn)
except:
print("Can not add filed of Area!")
for i in lyr:
# feat = lyr.GetFeature(i)
geom = i.GetGeometryRef()
area = round(geom.GetArea())
lyr.SetFeature(i)
i.SetField("Area", area)
lyr.SetFeature(i)
# if area is less than inMinSize or if it isn't forest, remove polygon
if area < sieveSize:
lyr.DeleteFeature(i.GetFID())
ioShpFile.Destroy()
del sourceRaster,band,outDatasource
gc.collect()
return outShp
def main(inraster, outshape):
## inraster = "/Carnegie/DGE/caodata/Scratch/dknapp/Fish/coral_keahou_mosaic_v1k_dep_masked"
## outshape = "/Carnegie/DGE/caodata/Scratch/dknapp/Fish/coral_keahou_mosaic_v1k_dep_masked.shp"
inDS = gdal.Open(inraster, gdal.GA_ReadOnly)
gt = inDS.GetGeoTransform()
inproj = inDS.GetProjection()
nodataval = inDS.GetRasterBand(1).GetNoDataValue()
indata = inDS.GetRasterBand(1).ReadAsArray()
if (nodataval is None):
numzero = np.equal(indata, 0.0)
if (np.sum(numzero) == 0):
# missing data value must be -9999
nodataval = -9999.0
else:
nodataval = 0.0
good = np.not_equal(indata, nodataval)
mask = np.zeros_like(indata, dtype=np.dtype('B'))
mask2 = np.zeros_like(indata, dtype=np.dtype('B'))
mask[good] = 255
mask2[good] = 1
memdrv = gdal.GetDriverByName('MEM')
tempDS = memdrv.Create('',
mask.shape[1],
mask.shape[0],
2,
eType=gdal.GDT_Byte)
tempDS.SetGeoTransform(gt)
tempDS.SetProjection(inproj)
tempDS.GetRasterBand(1).WriteArray(mask)
tempDS.GetRasterBand(2).WriteArray(mask2)
tempDS.GetRasterBand(1).SetNoDataValue(0)
tempDS.GetRasterBand(2).SetNoDataValue(0)
tempDS.FlushCache()
myBand = tempDS.GetRasterBand(1)
## gdal.FillNodata(targetBand=myBand, maskBand=None, maxSearchDist=5, smoothingIterations=0)
myMask = tempDS.GetRasterBand(2)
## gdal.FillNodata(targetBand=myMask, maskBand=None, maxSearchDist=5, smoothingIterations=0)
drv = ogr.GetDriverByName("ESRI Shapefile")
dstDS = drv.CreateDataSource(outshape)
mysrs = osr.SpatialReference()
mysrs.ImportFromWkt(inproj)
dst_layer = dstDS.CreateLayer("outline", srs=mysrs)
newField = ogr.FieldDefn('MYFIELD', ogr.OFTInteger)
dst_layer.CreateField(newField)
gdal.Polygonize(myBand, myMask, dst_layer, 0, [], callback=None)
dstDS.Destroy()
tempDS = None
inDS = None
def polygonise_travel_times(raster, shp_bin):
latlong = osr.SpatialReference()
latlong.ImportFromEPSG( 4326 )
polygon = shp_bin.encode('utf-8')
in_poly_ds = gdal.Open(raster)
polygon_band = in_poly_ds.GetRasterBand(1)
drv = ogr.GetDriverByName("ESRI Shapefile")
dst_ds = drv.CreateDataSource(polygon)
dst_layer = dst_ds.CreateLayer(polygon, srs=latlong)
newField = ogr.FieldDefn('Value', ogr.OFTInteger)
dst_layer.CreateField(newField)
#gdal.Polygonize(polygon_band, None, dst_layer, -1, ["value"], callback=None)
gdal.Polygonize(polygon_band, None, dst_layer, 0, [], callback=None)
def vectorize_raster(source, gdal_band_number, target_vector_layer_filename, layer_name, field_name_of_layer):
import os
if os.path.isfile(source):
ds = get_dataset(source)
else:
#TODO: test if is dataset
LOGGER.info('dataset')
projection_reference = ds.GetProjection()
data_layer, ds_layer=create_empty_layer(target_vector_layer_filename, layer_name, projection_reference)
band = ds.GetRasterBand(gdal_band_number)
field = ogr.FieldDefn(field_name_of_layer, ogr.OFTInteger)
data_layer.CreateField(field)
return gdal.Polygonize(band, None, data_layer, 0, [])
def polygonize_to_shp(tif_path, shp_path):
tif_ds = gdal.Open(tif_path)
srcband = tif_ds.GetRasterBand(1)
maskband = srcband.GetMaskBand()
drv = ogr.GetDriverByName('ESRI Shapefile')
shp_ds = drv.CreateDataSource(shp_path)
project = tif_ds.GetProjection()
srs = osr.SpatialReference(wkt=project)
dst_layername = 'out'
dst_layer = shp_ds.CreateLayer(dst_layername, srs=srs)
dst_fieldname = 'DN'
fd = ogr.FieldDefn(dst_fieldname, ogr.OFTInteger)
dst_layer.CreateField(fd)
gdal.Polygonize(srcband, maskband, dst_layer, 0)
def make_polygon(infile, outfile, name):
print("Make polygon", infile)
#input tif file
ds = gdal.Open(infile)
tree_band = ds.GetRasterBand(1)
polylayer = name
drv = ogr.GetDriverByName("ESRI Shapefile")
dst_ds = drv.CreateDataSource(outfile)
dst_layer = dst_ds.CreateLayer(polylayer, srs=None)
#Create New Field in output shapefile to assign value to
newField = ogr.FieldDefn('Value', ogr.OFTInteger)
dst_layer.CreateField(newField)
gdal.Polygonize(tree_band, None, dst_layer, 0, [], callback=None)
return outfile
def raster2shp(rasterfile,
vectorshp,
layername=None,
fieldname=None,
band_num=1,
mask='default'):
"""Convert raster to ESRI shapefile"""
FileClass.remove_files(vectorshp)
FileClass.check_file_exists(rasterfile)
# this allows GDAL to throw Python Exceptions
gdal.UseExceptions()
src_ds = gdal.Open(rasterfile)
if src_ds is None:
print('Unable to open %s' % rasterfile)
sys.exit(1)
try:
srcband = src_ds.GetRasterBand(band_num)
except RuntimeError as e:
# for example, try GetRasterBand(10)
print('Band ( %i ) not found, %s' % (band_num, e))
sys.exit(1)
if mask == 'default':
maskband = srcband.GetMaskBand()
elif mask is None or mask.upper() == 'NONE':
maskband = None
else:
mask_ds = gdal.Open(mask)
maskband = mask_ds.GetRasterBand(1)
# create output datasource
if layername is None:
layername = FileClass.get_core_name_without_suffix(rasterfile)
drv = ogr_GetDriverByName(str('ESRI Shapefile'))
dst_ds = drv.CreateDataSource(vectorshp)
srs = None
if src_ds.GetProjection() != '':
srs = osr_SpatialReference()
srs.ImportFromWkt(src_ds.GetProjection())
dst_layer = dst_ds.CreateLayer(str(layername), srs=srs)
if fieldname is None:
fieldname = layername.upper()
fd = ogr_FieldDefn(str(fieldname), OFTInteger)
dst_layer.CreateField(fd)
dst_field = 0
result = gdal.Polygonize(srcband,
maskband,
dst_layer,
dst_field, ['8CONNECTED=8'],
callback=None)
return result
def gdal_polygonize(src_gdal, dst_layer, verbose=False):
'''run gdal.Polygonize on src_gdal and add polygon to dst_layer'''
src_ds = gdal.Open(src_gdal)
if src_ds is not None:
srcband = src_ds.GetRasterBand(1)
if verbose: sys.stderr.write('geomods: polygonizing grid...')
try:
gdal.Polygonize(srcband, None, dst_layer, 0, [])
except KeyboardInterrupt, e:
sys.exit(1)
if verbose: sys.stderr.write('ok\n')
src_ds = srcband = None
return (0)
def vectorize_data():
setup_env()
temp_path = os.getenv("TEMP_PATH")
filelist = create_filelist()
print("Starting vectorization...")
for file in tqdm(filelist, unit=" file"):
file_split = file.split("/")
date_time_obj = datetime.strptime(
file_split[len(file_split)-1], 'RW_%Y%m%d-%H%M.asc')
filename_input = temp_path + "/cropped/{}".format(
date_time_obj.strftime("%Y%m%d-%H%M"))
filename_output = temp_path + "/vectorized/{}".format(
date_time_obj.strftime("%Y%m%d-%H%M"))
source = gdal.Open(filename_input + ".tif")
band = source.GetRasterBand(1)
_ = band.ReadAsArray()
driver = ogr.GetDriverByName("ESRI Shapefile")
if os.path.exists(filename_output + ".shp"):
driver.DeleteDataSource(filename_output + ".shp")
target = driver.CreateDataSource(filename_output + ".shp")
srs = osr.SpatialReference()
srs.ImportFromProj4(
"+proj=stere +lon_0=10.0 +lat_0=90.0 +lat_ts=60.0 +a=6370040 +b=6370040 +units=m")
targetLayer = target.CreateLayer("radolan", srs=srs)
targetField = ogr.FieldDefn("rain", ogr.OFTInteger)
targetLayer.CreateField(targetField)
gdal.Polygonize(band, None, targetLayer, 0, [], callback=None)
target.Destroy()
source = None
_ = None
print("Vectorization complete.")
def CreateGeoJSON(fn, cluster):
memdrv = gdal.GetDriverByName('MEM')
src_ds = memdrv.Create('', cluster.shape[1], cluster.shape[0], 1)
src_ds.SetGeoTransform([0, 1, 0, 0, 0, 1])
band = src_ds.GetRasterBand(1)
band.WriteArray(cluster)
dst_layername = "BuildingID"
drv = ogr.GetDriverByName("geojson")
if os.path.exists('./geojson/' + fn + dst_layername + ".geojson"):
drv.DeleteDataSource('./geojson/' + fn + dst_layername + ".geojson")
dst_ds = drv.CreateDataSource('./geojson/' + fn + dst_layername +
".geojson")
dst_layer = dst_ds.CreateLayer(dst_layername, srs=None)
dst_layer.CreateField(ogr.FieldDefn("DN", ogr.OFTInteger))
gdal.Polygonize(band, None, dst_layer, 0, ['8CONNECTED=8'], callback=None)
return
def rainfall_raster_ranks(path_rain_frame, path_ranks):
# Reads a raster of the rainfall fields and creates a raster with the ranks
m, p, epsg = read_raster(path_rain_frame)
rank = np.arange(1, m.size + 1)
rank = rank.reshape(m.shape)
save_array2raster(rank, p, path_ranks + '.tif', EPSG=int(epsg))
# Creates a ranks polygon based on the raster ranks.
src_ds = gdal.Open(path_ranks + '.tif')
srcband = src_ds.GetRasterBand(1)
#Create output datasource
spatialReference = osgeo.osr.SpatialReference()
spatialReference.ImportFromEPSG(int(epsg))
dst_layername = path_ranks
drv = ogr.GetDriverByName("ESRI Shapefile")
dst_ds = drv.CreateDataSource(dst_layername + ".shp")
dst_layer = dst_ds.CreateLayer(dst_layername, spatialReference)
gdal.Polygonize(srcband, None, dst_layer, -1, [], callback=None)
dst_ds.Destroy()
def mask_to_polygon(tif_file, array, output_shp_file, field_name=None):
"""
Takes a numpy array, creates a shape file polygon with projections and coordinates info from tif_file
saving values to field_name attribute.
:param tif_file: tif_file with projection info
:param array: the array to turn into polygons
:param output_shp_file: path to save the shapefile
:param field_name: field name to save values from array
:return:
"""
driver = gdal.GetDriverByName('MEM')
dataset = driver.Create('', array.shape[1], array.shape[0], 1,
gdal.GDT_Float32)
dataset.GetRasterBand(1).WriteArray(array)
original_data = gdal.Open(tif_file, gdalconst.GA_ReadOnly)
geotrans = original_data.GetGeoTransform()
proj = original_data.GetProjection()
dataset.SetGeoTransform(geotrans)
dataset.SetProjection(proj)
original_data = None
band = dataset.GetRasterBand(1)
driver = ogr.GetDriverByName("ESRI Shapefile")
outDatasource = driver.CreateDataSource(output_shp_file)
outLayer = outDatasource.CreateLayer("polygonized", srs=None)
if field_name is None:
field_name = 'MyFLD'
newField = ogr.FieldDefn(field_name, ogr.OFTInteger)
outLayer.CreateField(newField)
driver_mask = gdal.GetDriverByName('MEM')
ds_mask = driver_mask.Create('', array.shape[1], array.shape[0], 1,
gdal.GDT_Float32)
ds_mask.SetGeoTransform(geotrans)
ds_mask.SetProjection(proj)
ds_mask_array = (array > 0).astype(np.int32)
ds_mask.GetRasterBand(1).WriteArray(ds_mask_array)
mask_band = ds_mask.GetRasterBand(1)
gdal.Polygonize(band, mask_band, outLayer, 0, [], callback=None)
outDatasource.Destroy()
sourceRaster = None
dataset.FlushCache()
dataset = None
def poligonizza_raster(nomefile, nomeoutput):
sourceRaster = gdal.Open(nomefile) #/Users/glicciardi/Desktop/ndvi3.tif'
band = sourceRaster.GetRasterBand(1)
#bandArray = band.ReadAsArray()
#outShapefile = "polygonized"
srs = osr.SpatialReference()
srs.ImportFromWkt(sourceRaster.GetProjectionRef())
driver = ogr.GetDriverByName("ESRI Shapefile")
if os.path.exists(nomeoutput): #outShapefile+".shp"):
driver.DeleteDataSource(nomeoutput) #outShapefile+".shp")
outDatasource = driver.CreateDataSource(nomeoutput) #outShapefile+ ".shp")
outLayer = outDatasource.CreateLayer("polygonized", srs=None)
fd = ogr.FieldDefn("DN", ogr.OFTInteger)
outLayer.CreateField(fd)
dst_field = outLayer.GetLayerDefn().GetFieldIndex("DN")
gdal.Polygonize(band, None, outLayer, dst_field, [], callback=None)
#gdal.Polygonize( band, None, outLayer, -1, [], callback=None )
outDatasource.Destroy()
sourceRaster = None
