I implemented python code from the Automated Bulk Downloads of Landsat-8 Data Products in Python | Geology and Python tutorial.
It works pretty okay, but I want to retrieve data on the basis of date.I even changed some of code and tried but have not succeeded.
bulk_list = []
# Iterate through paths and rows
for path, row in zip(paths, rows):
print('Path:',path, 'Row:', row)
# Filter the Landsat Amazon S3 table for images matching path, row, cloudcover and processing state.
scenes = s3_scenes[(s3_scenes.path == path) & (s3_scenes.row == row) &
(s3_scenes.cloudCover <= 15) &
(s3_scenes.acquisitionDate='2019-04-22')
(~s3_scenes.productId.str.contains('_T2')) &
(~s3_scenes.productId.str.contains('_RT'))]
print(' Found {} images\n'.format(len(scenes)))
# If any scenes exists, select the one that have the minimum cloudCover.
if len(scenes):
scene = scenes.sort_values('acquisitionDate').iloc[0]
# Add the selected scene to the bulk download list.
bulk_list.append(scene)
but it throws an error:
File "<ipython-input-37-ec27c752ae7e>", line 11
(s3_scenes.acquisitionDate='2019-04-22')
^
SyntaxError: invalid syntax
I understand there is problem in date format but couldn't resolve.
Please also suggest me some good tutorials to of AWS on Landsat 8 images.
as I print bulk list
bulk_list
[productId LC08_L1TP_152042_20190422_20190507_01_T1
entityId LC81520422019112LGN00
acquisitionDate 2019-04-22 05:56:08.442691
cloudCover 0
processingLevel L1TP
path 152
row 42
min_lat 24.9171
min_lon 66.742
max_lat 27.0339
max_lon 69.0604
download_url https://s3-us-west-2.amazonaws.com/landsat-pds...
Name: 1520154, dtype: object]
and even after I used (s3_scenes.acquisitionDate='2019-04-22 05:56:08.442691') result remains same
I think the date format shoud be YYYYMMDD
for more info see amazon
or simply use s3_scenes.productId.str.contains('20190422')
and you forget & at the end of the statement