[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

{'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}

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

Thank you Alan!

I remove '.read(1)' and it works.