def cbers(path, row, sensor='MUX'):
"""Get CBERS scenes.
Valid values for sensor are: 'MUX', 'AWFI', 'PAN5M' and 'PAN10M'.
"""
path = utils.zeroPad(path, 3)
row = utils.zeroPad(row, 3)
prefix = f'CBERS4/{sensor}/{path}/{row}/'
session = boto3_session(region_name=region)
s3 = session.client('s3')
results = aws.list_directory(cbers_bucket, prefix, s3=s3)
scene_ids = [os.path.basename(key.strip('/')) for key in results]
results = []
for scene_id in scene_ids:
info = utils.cbers_parse_scene_id(scene_id)
scene_key = info["key"]
preview_id = '_'.join(scene_id.split('_')[0:-1])
info[
'thumbURL'] = f'https://s3.amazonaws.com/{cbers_bucket}/{scene_key}/{preview_id}_small.jpeg'
info[
'browseURL'] = f'https://s3.amazonaws.com/{cbers_bucket}/{scene_key}/{preview_id}.jpg'
results.append(info)
return results
def landsat(path, row, full=False):
"""
"""
path = utils.zeroPad(path, 3)
row = utils.zeroPad(row, 3)
levels = ['L8', 'c1/L8']
prefixes = [f'{l}/{path}/{row}/' for l in levels]
# WARNING: This is fast but not thread safe
session = boto3_session(region_name=region)
s3 = session.client('s3')
_ls_worker = partial(aws.list_directory, landsat_bucket, s3=s3)
with futures.ThreadPoolExecutor(max_workers=2) as executor:
results = executor.map(_ls_worker, prefixes)
results = itertools.chain.from_iterable(results)
scene_ids = [os.path.basename(key.strip('/')) for key in results]
_info_worker = partial(get_l8_info, full=full, s3=s3)
with futures.ThreadPoolExecutor(max_workers=50) as executor:
results = executor.map(_info_worker, scene_ids)
return results
def get_s2_info(bucket, scene_path, full=False, s3=None, request_pays=False):
"""return Sentinel metadata
"""
scene_info = scene_path.split('/')
year = scene_info[4]
month = utils.zeroPad(scene_info[5], 2)
day = utils.zeroPad(scene_info[6], 2)
acquisition_date = f'{year}{month}{day}'
latitude_band = scene_info[2]
grid_square = scene_info[3]
num = scene_info[7]
info = {
'sat':
'S2A',
'path':
scene_path,
'utm_zone':
scene_info[1],
'latitude_band':
latitude_band,
'grid_square':
grid_square,
'num':
num,
'acquisition_date':
acquisition_date,
'browseURL':
f'https://sentinel-s2-l1c.s3.amazonaws.com/{scene_path}preview.jpg'
}
utm = utils.zeroPad(info['utm_zone'], 2)
info[
'scene_id'] = f'S2A_tile_{acquisition_date}_{utm}{latitude_band}{grid_square}_{num}'
if full:
try:
data = json.loads(
aws.get_object(bucket,
f'{scene_path}tileInfo.json',
s3=s3,
request_pays=request_pays))
sat_name = data['productName'][0:3]
info['sat'] = sat_name
info['geometry'] = data.get('tileGeometry')
info['coverage'] = data.get('dataCoveragePercentage')
info['cloud_coverage'] = data.get('cloudyPixelPercentage')
info[
'scene_id'] = f'{sat_name}_tile_{acquisition_date}_{utm}{latitude_band}{grid_square}_{num}'
except:
print(f'Could not get info from {scene_path}tileInfo.json')
return info
def test_zeroPad_validString():
assert utils.zeroPad('3', 2) == '03'
def test_zeroPad_valid():
assert utils.zeroPad(3, 4) == '0003'
