Newer
Older
=====================
Quickstart
=====================
Managing Sentinel-2 images
--------------------------
Library
^^^^^^^
.. code-block:: python
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>>> from sen2chain import Library
>>> Library().l1c
['40KCB', '38KQV', '38KQB']
>>> Library().l2a
['38KQV', '38KQB']
Tiles
^^^^^
.. code-block:: python
>>> from sen2chain import Tile
>>> reunion = Tile("40KCB")
>>> reunion.l1c
LISTE DE PRODUITS
>>> reunion.l2a.last.date)
datetime.datetime(2018, 9, 4, 6, 35, 11)
>>> reunion.l2a.filter_dates("2018-01-01")
>>> reunion.l2a.filter_dates("2018-01-01").filter_clouds(0,20)
[TileProduct(identifier='S2A_MSIL2A_20161003T070232_N0204_R120_T38KQB_20161003T070230_NDVI_CLOUD_MASK.tif', date=datetime.datetime(2016, 10, 3, 7, 2, 32), cloud_cover=8.7407)]
>>> reunion.ndvi.filter_clouds(0,20)
>>> reunion.l2a_missings
[TileProduct(identifier='S2A_MSIL1C_20180904T063511_N0206_R134_T40KCB_20180904T090928.SAFE', date=datetime.datetime(2018, 9, 4, 6, 35, 11), cloud_cover=28.3281),
TileProduct(identifier='S2A_OPER_PRD_MSIL1C_PDMC_20160331T090121_R134_V20160328T063507_20160328T063507.SAFE', date=datetime.datetime(2016, 3, 28, 6, 35, 7), cloud_cover=1.273775),
TileProduct(identifier='S2A_OPER_PRD_MSIL1C_PDMC_20160119T023918_R134_V20160118T063524_20160118T063524.SAFE', date=datetime.datetime(2016, 1, 18, 6, 35, 24), cloud_cover=33.5),
Products
^^^^^^^^
Makes it easier to work with products metadata.
.. code-block:: python
>>> from sen2chain import L1cProduct
>>> l1c = L1cProduct("S2A_MSIL1C_20170111T070211_N0204_R120_T38KQV_20170111T070319.SAFE")
>>> l1c = L1cProduct("S2A_OPER_PRD_MSIL1C_PDMC_20170505T161637_R134_V20151129T063512_20151129T063512.SAFE", tile="40KCB")
>>> l1c.tile
>>> l1c.sensing_start_time
>>> l1c.footprint
>>> l1c.b04
.. code-block:: python
>>> from sen2chain import L2aProduct
>>> l2a = L2aProduct("")
>>> l2a.cloud_coverage_assessment
Downloading and processing Sentinel-2 Images
--------------------------------------------
Downloading
^^^^^^^^^^^
.. code-block:: python
>>> from sen2chain import DataRequest, DownloadAndProcess
>>> request = DataRequest().from_tiles(["40KCB", "40KEC"])
>>> request = DataRequest().from_point()
>>> request = DataRequest().from_bbox()
>>> request = DataRequest().from_file("study_sites.shp")
>>> DownloadAndProcess(request)
Processing
^^^^^^^^^^
2A level processing
^^^^^^^^^^^^^^^^^^^
Sen2cor
.. code-block:: python
>>> l2a = L2aProduct("")
>>> l2a.process_l2a()
Cloud mask and radiometric indices
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. code-block:: python
>>> l2a.process_cloud_mask(buffering=True)
>>> l2a.process_indices(indices=["NDVI", "NDVI_GAO"], clouds_nodata=True, colormap=True)
Time Series
^^^^^^^^^^^
.. code-block:: python
>>> from sen2chain import TimeSeries
>>> ts = Timeries(polygons.geojson, indices=["NDVI"], date_min="2018-01-01", date_max"2018-01-31", cover_min=0, cover_max=20)
>>> ts.data
>>> ts.to_csv()
Automatization
--------------
.. code-block:: python
>>> auto = Automatization()
>>> auto.run()
.. code-block:: python
>>> auto_ts = TimeSeriesAutomatization()
>>> auto_ts.run()