Readme
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.
Home page documentation: https://smbyc.github.io/StackComposed
The latest sources can be obtained from official repository: https://github.com/SMByC/StackComposed
Issues, ideas and enhancements: https://github.com/SMByC/StackComposed/issues
The StackComposed use the following apps/libraries:
You can install from PyPi repository:
pip3 install stack-composed
To install StackComposed from source:
git clone https://github.com/SMByC/StackComposed
cd StackComposed
python3 setup.py install
# or
pip3 install -e .
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
Xavier C. Llano: xavier.corredor.llano@gmail.com
SMByC: smbyc (a) ideam.gov.co
StackComposed is a free/libre software and is licensed under the GNU General Public License.
FAQs
Compute and generate the composed of a raster images stack
We found that stack-composed demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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