# StackComposed
The StackComposed compute the stack composed of a specific statistic of band values for several time series of georeferenced data (such as Landsat images), even if these are in different scenes or tiles. The result is a output of statistic compute for all valid pixels values across the time axis (z-axis), in the wrapper extent for all input data in parallels process.
## Documentation
Home page documentation: [https://smbyc.github.io/StackComposed](https://smbyc.github.io/StackComposed)
## Source code
The latest sources can be obtained from official repository: [https://github.com/SMByC/StackComposed](https://github.com/SMByC/StackComposed)
## Issue Tracker
Issues, ideas and enhancements: [https://github.com/SMByC/StackComposed/issues](https://github.com/SMByC/StackComposed/issues)
## Installation
The StackComposed use the following apps/libraries:
* Python3
* Gdal
* Numpy
* [Dask](http://dask.pydata.org)
### Using Pip
You can install from PyPi repository:
```bash
pip3 install stack-composed
```
### From source code
To install StackComposed from source:
```bash
git clone https://github.com/SMByC/StackComposed
cd StackComposed
python3 setup.py install
# or
pip3 install -e .
```
## About us
StackComposed was developing, designed and implemented by the Group of Forest and Carbon Monitoring System (SMByC), operated by the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM) - Colombia.
Author and developer: *Xavier C. Llano*
Theoretical support, tester and product verification: SMByC-PDI group
### Contact
Xavier C. Llano: *xavier.corredor.llano@gmail.com*
SMByC: *smbyc (a) ideam.gov.co*
## License
StackComposed is a free/libre software and is licensed under the GNU General Public License.
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"description": "# StackComposed\n \nThe StackComposed compute the stack composed of a specific statistic of band values for several time series of georeferenced data (such as Landsat images), even if these are in different scenes or tiles. The result is a output of statistic compute for all valid pixels values across the time axis (z-axis), in the wrapper extent for all input data in parallels process.\n\n## Documentation\n\nHome page documentation: [https://smbyc.github.io/StackComposed](https://smbyc.github.io/StackComposed)\n\n## Source code\n\nThe latest sources can be obtained from official repository: [https://github.com/SMByC/StackComposed](https://github.com/SMByC/StackComposed)\n\n## Issue Tracker\n\nIssues, ideas and enhancements: [https://github.com/SMByC/StackComposed/issues](https://github.com/SMByC/StackComposed/issues)\n\n## Installation\n\nThe StackComposed use the following apps/libraries:\n\n* Python3\n* Gdal\n* Numpy\n* [Dask](http://dask.pydata.org)\n\n### Using Pip\n\nYou can install from PyPi repository:\n\n```bash\npip3 install stack-composed\n```\n\n### From source code\n\nTo install StackComposed from source:\n\n```bash\ngit clone https://github.com/SMByC/StackComposed\ncd StackComposed\npython3 setup.py install\n# or\npip3 install -e .\n```\n\n## About us\n\nStackComposed was developing, designed and implemented by the Group of Forest and Carbon Monitoring System (SMByC), operated by the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM) - Colombia.\n\nAuthor and developer: *Xavier C. Llano* \nTheoretical support, tester and product verification: SMByC-PDI group\n\n### Contact\n\nXavier C. Llano: *xavier.corredor.llano@gmail.com* \nSMByC: *smbyc (a) ideam.gov.co*\n\n## License\n\nStackComposed is a free/libre software and is licensed under the GNU General Public License.\n",
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