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refactor: update readme (#157)
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12rambau authored Jan 22, 2024
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Changelog
=========

This is an old legacy changelog system, for newer versions, please refer to the changelog associated with github releases.

New version 0.3.0
-----------------

I have split this package in two. This ``geetools`` will contain functions and methods related to Google Earth Engine exclusively, so you can use this module in any python environment you like. For working in Jupyter I have made another package called ``ipygee`` available `here <http://www.github.com/fitoprincipe/ipygee>`__.

New version 0.5.0 (breaking changes)
------------------------------------

I have split this package in two (again). Now the functions to make a strip of images using Pillow is available as a different package called `geepillow <https://github.com/fitoprincipe/geepillow>`__.

New version 0.6.0 (breaking changes)
------------------------------------

I have split this package in two (again x2). The module ``geetools.collection`` in an independent package called `geedataset <https://github.com/fitoprincipe/geedatasets>`__.
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.. warning::

This package is under heavy refactoring.
If you want to access the previous version, please have a look to the `0.x` branch
We also start to make pre-release so people can try the latest version. Have a look to the `pypi page <https://pypi.org/project/geetools/>`__ to stay up-to-date.

geetools
========

.. image:: https://img.shields.io/badge/License-MIT-yellow.svg?logo=opensourceinitiative&logoColor=white
:target: LICENSE
:alt: License: MIT

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:target: https://gee_tools.readthedocs.io/en/latest/
:alt: Documentation Status

Google Earth Engine tools
-------------------------

.. image:: docs/_static/logo.svg
:width: 20%
:align: right

These are a set of tools for working with Google Earth Engine Python API that may help to solve or automate some processes.

There is JavaScript module that you can import from the code editor that has
similar functions (not exactly the same) and it's available `here <https://github.com/fitoprincipe/geetools-code-editor>`__.

Installation
------------

.. code-block:: python
pip install geetools
Basic Usage
-----------

Export every image in a ``ee.ImageCollection``
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-blcok:: python

import ee
import geetools

ee.Initialize()

# Define an ImageCollection

site = ee.Geometry.Point([-72, -42]).buffer(1000)
collection = ee.ImageCollection("LANDSAT/LC08/C01/T1_SR").filterBounds(site).limit(5)

# Set parameters
bands = ['B2', 'B3', 'B4']
scale = 30
name_pattern = '{sat}_{system_date}_{WRS_PATH:%d}-{WRS_ROW:%d}'

## the keywords between curly brackets can be {system_date} for the date of the
## image (formatted using `date_pattern` arg), {id} for the id of the image
## and/or any image property. You can also pass extra keywords using the `extra`
## argument. Also, numeric values can be formatted using a format string (as
## shown in {WRS_PATH:%d} (%d means it will be converted to integer)
date_pattern = 'ddMMMy' # dd: day, MMM: month (JAN), y: year
folder = 'MYFOLDER'
data_type = 'uint32'
extra = dict(sat='L8SR')
region = site

# Export
tasks = geetools.batch.Export.imagecollection.toDrive(
collection=collection,
folder=folder,
region=site,
namePattern=name_pattern,
scale=scale,
dataType=data_type,
datePattern=date_pattern,
extra=extra,
verbose=True,
maxPixels=int(1e13)
)

Some useful functions
^^^^^^^^^^^^^^^^^^^^^

batch exporting
###############

- Export every image in an ImageCollection to Google Drive, GEE Asset or Cloud Storage `examples <https://github.com/gee-community/gee_tools/tree/master/notebooks/batch>`__
- Clip an image using a FeatureCollection and export the image inside every Feature `example <https://github.com/gee-community/gee_tools/tree/master/notebooks/batch>`__

Image processing
################

- Pansharp `example <https://github.com/gee-community/gee_tools/blob/master/notebooks/algorithms/pansharpen.ipynb>`__
- Mask pixels around masked pixels (buffer around a mask) `example <https://github.com/gee-community/gee_tools/blob/master/notebooks/image/bufferMask.ipynb>`__
- Get the percentage of masked pixels inside a geometry `example <https://github.com/gee-community/gee_tools/blob/master/notebooks/algorithms/mask_cover.ipynb>`__
- Cloud masking functions `example <https://github.com/gee-community/gee_tools/blob/master/notebooks/cloud_mask/cloud_masking.ipynb>`__

Compositing
###########

- Closest date composite: replace masked pixels with the "last available not masked pixel" `example <https://github.com/gee-community/gee_tools/blob/master/notebooks/composite/closest_date.ipynb>`__
- Medoid composite `example <https://github.com/gee-community/gee_tools/blob/master/notebooks/composite/medoid.ipynb>`__

Image Collections
#################

- Mosaic same day `example <https://github.com/gee-community/gee_tools/blob/master/notebooks/imagecollection/mosaicSameDay.ipynb>`__

Visualization
#############

- Get visualization parameters using a stretching function `example <https://github.com/gee-community/gee_tools/blob/master/notebooks/visualization/stretching.ipynb>`__

All example Jupyter Notebooks
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Jupyter Notebooks avilables `here <https://github.com/gee-community/gee_tools/tree/master/notebooks>`__

Contributing
------------

Any contribution is welcome.
Any bug or question please use the `github issue tracker https://github.com/gee-community/gee_tools/issues`__
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