stack-composed 25.3

Compute and generate the composed of a raster images stack

# 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: [e-mail] SMByC: smbyc (a) ideam.gov.co

## License

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