ModSpa-Pixel

ModSpa pixel is an adaptation of the existing ModSpa processing chain. It uses a mix of satellite data (optical and weather data) to run models like SAMIR or SAFY (only SAMIR is currently supported) on spatialized data. The previous modspa version used pandas dataframes to run the SAMIR model on the parcel scale (inputs are satellite data aggregated to the parcel scale). ModSpa pixel uses numpy to run the SAMIR model at the pixel scale. This allows for higher resolution modelisation at the cost of an increase in storage and calculation requirements. However, this ModSpa version can still run at the parcel scale, the user can choose between parcel and pixel mode.

Contents:

• Setting up the correct environnment and parameters
• Choosing the run mode
• Preparing the inputs for Modspa-Pixel
• Run the SAMIR model
• Plotting the outputs of the SAMIR model
• Project file structure

Note

This project is under active development. Additional functions and capabilities are currently being added.

Summarized steps to run the model

• Prepare the json configuration file

• Select the json configuration file with config/select_config_modspa.py

• Test the json configuration file with test_setup.py

• Prepare the SAMIR parameter file

• Launch input preparation with main_prepare_inputs.py

• Prepare the custom inputs (land cover, soil parameters)

• Launch the model with main_run_samir.py

Indices and tables

• Index