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Compute and generate the composed of a raster images stack

Project description

# 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: [](

## Source code

The latest sources can be obtained from official repository: [](

## Issue Tracker

Issues, ideas and enhancements: [](

## Installation

The StackComposed use the following apps/libraries:

### Using Pip

You can install from PyPi repository:

`bash pip3 install stack-composed `

### From source code

To install StackComposed from source:

`bash git clone cd StackComposed python3 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: SMByC: smbyc (a)

## License

StackComposed is a free/libre software and is licensed under the GNU General Public License.

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