dnf0/kcl-globalgasflaring
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This is the batch processing system used to produce global gas flaring datasets from the Along Track Scanning Radiometer (ATSR) sensor series and the Sea and Land Surface Temperature Scanning Radiometer (SLSTR) instrument series. The details of the algorithms used are described in detail in [1] and [2]. To provide a quick summary here: Nighttime shortwave infrared (SWIR) image data is used to identify thermal anomalies, which are then flagged as gas flaring activity if a number of specific tests based on temporal and spectral characteristics are passed. To run the batch processing systems first update the filepaths in src/config/filepaths to your configuration and update the location of the python executable in the shebang of the scripts: scripts.batch.flares.py and scripts.batch.hotspots.py The various steps of the processor must be run in the correct order to produce outputs. The order is as follows: $ python /src/scripts/batch/batch_submit.py hotspots [sensor] $ python /src/scripts/identify_persistent_hotspots.py $ python /src/scripts/batch/batch_submit.py flares [sensor] $ python /src/scripts/aggregates_flares_samples.py The [sensor] argument must be one of 'at1', 'at2', 'ats' or 'sls' corresponding to ATSR1, ATSR2, AATSR and SLSTR. [1] https://doi.org/10.3390/rs10020305 [2] https://doi.org/10.1016/j.rse.2019.111298
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