this workflow contains the full stack steps for training, testing, and use the Ml-based fire forecasting model.
fc_train_data_preprocess, fc_model_creation, fc_test_data_preparation, fc_install_dependencies, fc_model_predict, fc_model_predict_2weeks, fc_model_creation_train_slurm, plot_results, explain_model_results, upload_prediction_to_website, fc_train_data_preprocess_slurm, fc_model_predict_2weeks_slurm, fc_test_data_preprocess_slurm, data_preparation_utils, plot_results_slurm, generate_mapfiles, check_on_results, download_prepare_5yrs_ncl
fc_train_data_preprocess: null fc_model_creation: null fc_test_data_preparation: null fc_install_dependencies: null fc_model_predict: null fc_model_predict_2weeks: null fc_model_creation_train_slurm: null plot_results: null explain_model_results: null upload_prediction_to_website: null fc_train_data_preprocess_slurm: null fc_model_predict_2weeks_slurm: null fc_test_data_preprocess_slurm: null data_preparation_utils: null plot_results_slurm: null generate_mapfiles: null check_on_results: null download_prepare_5yrs_ncl: null
This section provides detailed instructions on how to use the workflow. Follow these steps to set up and execute the workflow using Geoweaver.
Open Geoweaver running on your local machine. video guidance
- Click on "Weaver" in the top navigation bar.
- A workspace to add a workflow opens up. Select the "Import" icon in the top navigation bar.
- Choose the downloaded zip file4. Click on "Start" to upload the file. If the file is valid, a prompt will ask for your permission to upload. Click "OK".
- Once the file is uploaded, Geoweaver will create a new workflow.
- Click on the execute icon in the top navigation bar to start the workflow execution process.video guidance
- A wizard will open where you need to select the video guidance and environment video guidance.
- Click on "Execute" to initiate the workflow. Enter the required password when prompted and click "Confirm" to start executing the workflow.
- The workflow execution will begin.
- Note: Green indicates the process is successful, Yellow indicates the process is running, and Red indicates the process has failed.
- Once the execution is complete, the results will be available immediately.
By following these steps, you will be able to set up and execute the snow cover mapping workflow using Geoweaver.