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VTFDetection

Datasets

  1. Volcano_Data_Collected - contains 52 volcanoes and 7941 total TIF files (Box folder)
  2. Merged_tables_processed.xlsx - latest pruned and processed excel files containing these volcanoes and correct volcano names

Procedure

  1. Install DORA on your local machine following the steps from the vtf-dora branch in this forked repo -https://github.com/nasaharvest/dora/tree/vtf-dora/dora_exp_pipeline

  2. Navigate to directory inference_pipeline with cd inference_pipeline/

  3. Once the results are obtained, run pip install -r requirements.txt to install all requirements for this app

  4. Run vtf_app.py with your specified input directory and output file for one volcano at a time. For example: python3 vtf_app.py --input="/data/Pacaya/" --output="Pacaya_res.csv" You can run python3 vtf_app.py --help if you want to specify any additional arguments

Note: Your directory structure should be of the following format - {Volcano}/"all"/{ASTER file name}, for example: Pacaya/all/AST_08_00302282019042806_20230914075707_28909.SurfaceKineticTemperature.KineticTemperature.tif

  1. Run run_all.py with your specified input directory of a volcanic region. For example: python3 run_all.py --region="Kuril_Islands" You can run python3 run_all.py --help if you want help specifying arguments

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