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Commit 0fc93b44 authored by Jeremy Commins's avatar Jeremy Commins
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Updated readme.

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# Example Package
This is a simple example package. You can use
[Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/)
to write your content.
=========
sen2chain
=========
sen2chain is a simple tool to download and process Sentinel-2.
It uses ESA's Sen2Cor processor for generating Level 2A products.
And a list of radiometric indices. Cloud mask. It can download images from several
servers (PEPS, Scihub, AWS). Generate quicklooks.
Typical usage often looks like this::
#!/usr/bin/env python3
from sen2chain import L1cProduct
my_l1c = L1cProduct("")
my_l1c.process_l2a()
print "Your towel is located:", location.where_is_my_towel()
Paragraphs are separated by blank lines. *Italics*, **bold**,
and ``monospace`` look like this.
A Section
=========
Lists look like this:
* First
* Second. Can be multiple lines
but must be indented properly.
A Sub-Section
-------------
Numbered lists look like you'd expect:
Sen2chain is a simple utility to download and process Sentinel-2 images.
1. hi there
It uses the `sentinelsat <https://github.com/sentinelsat/sentinelsat>`_ and `peps_download <https://github.com/olivierhagolle/peps_download>`_ packages to find and download data, and ESA's `Sen2Cor <http://step.esa.int/main/third-party-plugins-2/sen2cor/>`_ processor to perform atmospheric, terrain and cirrus correction.
2. must be going
Main features:
Urls are http://like.this and links can be
written `like this <http://www.example.com/foo/bar>`_.
* downloading of L1C (top of atmosphere) products from Scihub and PEPS mirrors ;
* processing of L1C to L2A (bottom of atmosphere) products ;
* computing of radiometric indices ;
* time series extraction of thoses indices ;
* full automatization of the above features.
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