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- joblib | ||
- museotoolbox | ||
- psutil | ||
- m2r | ||
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[![Documentation status](https://readthedocs.org/projects/museopheno/badge/?version=latest)](https://museopheno.readthedocs.io/en/latest/?badge=latest) | ||
[![PyPI version](https://badge.fury.io/py/museopheno.svg)](https://badge.fury.io/py/museopheno) | ||
[![Build status](https://api.travis-ci.com/nkarasiak/MuseoPheno.svg?branch=master)](https://travis-ci.com/nkarasiak/MuseoPheno) | ||
[![Downloads](https://pepy.tech/badge/museopheno)](https://pepy.tech/project/museopheno) | ||
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![MuseoPheno logo](https://github.com/nkarasiak/MuseoPheno/raw/master/metadata/MuseoPheno_logo_128.png) | ||
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# MuseoPheno | ||
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MuseoPheno aims to be a phenology toolbox for Satellite Image Time Series. | ||
The [documentation is hosted on readthedocs](https://museopheno.readthedocs.org/). | ||
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# What does MuseoPheno do today ? | ||
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MuseoPheno globally eases the way to smooth or compute spectral indices for time series. | ||
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# Don't manage temporal information, MuseoPheno does it for you | ||
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## Spectral indices | ||
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Let's suppose you want to compute the NDVI, and you know how your bands are ordered in your raster. | ||
Just define your band order (it supposes your bands are stacked in the following order : band1, band2... for date 1, then band1, band2 for date 2 and so on...) | ||
then give MuseoPheno the expression "(B8-B4)/(B8+B4)", and the library will generate the NDVI for each date. | ||
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So it takes only a few lines to go from your time series to a temporal spectral index. It is also as fast to produce the indice raster. | ||
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You can see the [demo here with Leaf Chlorophyll Content](https://museopheno.readthedocs.io/en/latest/auto_examples/sensors/LeafChlorophyllContentFromS2TimeSeries.html). | ||
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*Your index is not listed ?* It is very easy to add a new sensor or to add new index. Just follow the simple documentation. | ||
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## Temporal resampling and smoothing | ||
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It has never been so easy to temporaly resample a time series given an array. Just define the beginning date, the end date, and the delta between acquistion, then MuseoPheno will deal it for you. | ||
You need to smooth your new time series ? No problem, just use the SmoothSignal class. | ||
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## Phenological metrics | ||
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You can easilly compute phenological metrics (start of season, end of season) using the PhenologyMetrics class from the time_series module. | ||
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# How do I install it ? | ||
A package is available on pip : | ||
`python3 -m pip install museopheno --user` | ||
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Alternatively, you can install **museopheno** directly from the git : | ||
`python3 -m pip install git+https://github.com/nkarasiak/MuseoPheno.git --user` | ||
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Feel free to remove the `--user` if you like to install the library for every user on the machine. | ||
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# What is planning to do MuseoPheno ? | ||
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- More temporal signal smoothing (Whittaker...) | ||
- Lot of examples... so feel free to add ! | ||
- Add tests to check consistency and reliability. |
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.. MuseoPheno documentation | ||
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MuseoPheno documentation | ||
============================= | ||
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.. sidebar:: About MuseoPheno | ||
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.. image:: https://github.com/nkarasiak.png?size=100 | ||
:alt: Nicolas Karasiak avatar | ||
:class: avatar | ||
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:Author: `Nicolas Karasiak <http://www.karasiak.net>`_ | ||
:Source code: `github.com project <https://github.com/nkarasiak/MuseoPheno>`_ | ||
:Bug tracker: `github.com issues <https://github.com/nkarasiak/MuseoPheno/issues>`_ | ||
:Generated: |today| | ||
:License: GPL v3 | ||
:Version: |release| | ||
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.. image:: https://readthedocs.org/projects/museopheno/badge/?version=latest | ||
:target: https://museopheno.readthedocs.io/en/latest/?badge=latest | ||
:alt: Documentation status | ||
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.. image:: https://badge.fury.io/py/museopheno.svg | ||
:target: https://badge.fury.io/py/museopheno | ||
:alt: PyPI version | ||
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.. image:: https://api.travis-ci.com/nkarasiak/MuseoPheno.svg?branch=master | ||
:target: https://travis-ci.com/nkarasiak/MuseoPheno | ||
:alt: Build status | ||
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.. image:: https://pepy.tech/badge/museopheno | ||
:target: https://pepy.tech/project/museopheno | ||
:alt: Downloads | ||
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.. mdinclude:: README.md | ||
:skip | ||
.. toctree:: | ||
:maxdepth: 2 | ||
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self | ||
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.. toctree:: | ||
:maxdepth: 3 | ||
:caption: Examples gallery | ||
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auto_examples/index | ||
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.. toctree:: | ||
:maxdepth: 3 | ||
:caption: Documentation API | ||
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api | ||
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Indices and tables | ||
================== | ||
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* :ref:`genindex` | ||
* :ref:`modindex` | ||
* :ref:`search` |
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ipykernel | ||
nbsphinx | ||
sphinx-gallery | ||
m2r |