Hi folks
I'm having the following errors when I'm trying to mask a landsat image with a kml polygon.
[Dbg]>>> a,b = rasterio.mask.mask(b2_bytes.open().read(1),roi['geometry'],crop=True)
Traceback (most recent call last):
File "<interactive input>", line 1, in <module>
File "C:\Anaconda3\lib\site-packages\rasterio\mask.py", line 174, in mask
if dataset.nodata is not None:
AttributeError: 'numpy.ndarray' object has no attribute 'nodata'
[Dbg]>>> a,b = rasterio.mask.mask(b2_bytes.open().read(1),roi['geometry'],crop=True,nodata=0)
Traceback (most recent call last):
File "<interactive input>", line 1, in <module>
File "C:\Anaconda3\lib\site-packages\rasterio\mask.py", line 181, in mask
pad=pad)
File "C:\Anaconda3\lib\site-packages\rasterio\mask.py", line 76, in raster_geometry_mask
north_up = dataset.transform.e <= 0
AttributeError: 'numpy.ndarray' object has no attribute 'transform
The metadata for scene LC08_L1TP_221077_20190815_20190820_01_T1 is
{'count': 1,
'crs': CRS.from_dict(init='epsg:32622'),
'driver': 'GTiff',
'dtype': 'uint16',
'height': 7801,
'nodata': None,
'transform': Affine(30.0, 0.0, 491985.0,
0.0, -30.0, -2599185.0),
'width': 7721}
My code
from google.cloud import storage
import fiona
import geopandas
import rasterio
import rasterio.mask
#test.kml PATH 221 ROW 77
#file is attached
#[SENSOR]/01/PATH/ROW/[scene_id]/
PATH = '221'
ROW = '077'
#-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
#Download Image B2 band from google cloud to memory
client = storage.Client.from_service_account_json('credential.json')
bucket = client.get_bucket('gcp-public-data-landsat')
l1 = list(bucket.list_blobs(prefix='LC08/01/'+PATH+'/'+ROW+'/', max_results=100000)) #,delimiter='T1'
l2 = [i.name for i in l1 if "_T1" in i.name.split('/')[4] ] #only T1 images
last_image = l2[len(l2)-1].split('/')[4] #scene folder
b2_binary_blob = bucket.get_blob('LC08/01/'+PATH+'/'+ROW+'/'+last_image+"/"+last_image+"_B2.TIF").download_as_string() #LC08_L1TP_221077_20190815_20190820_01_T1
b2_bytes = rasterio.MemoryFile(b2_binary_blob)
del b2_binary_blob
#-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
#-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
#Loading polygon and trying to mask
fiona.drvsupport.supported_drivers['kml'] = 'rw' # enable KML support which is disabled by default
fiona.drvsupport.supported_drivers['KML'] = 'rw' # enable KML support which is disabled by default
geopandas.io.file.fiona.drvsupport.supported_drivers['kml'] = 'rw' # enable KML support which is disabled by default
geopandas.io.file.fiona.drvsupport.supported_drivers['KML'] = 'rw' # enable KML support which is disabled by default
roi = geopandas.GeoDataFrame.from_file("../data/geo/gmaps/teste_castro.kml") #roi.crs -> {'init': 'epsg:4326'}
roi = roi.to_crs(b2_bytes.open().meta['crs'].to_dict()) #convert polygon coordinate system to the one used on the image
#Mask
a,b = rasterio.mask.mask(b2_bytes.open().read(1),roi['geometry'],crop=True) #AttributeError: 'numpy.ndarray' object has no attribute 'nodata'
a,b = rasterio.mask.mask(b2_bytes.open().read(1),roi['geometry'],crop=True,nodata=0) #AttributeError: 'numpy.ndarray' object has no attribute 'transform
