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A script for testing out several methods of interpolating VIIRS and MODIS fire detection data to generate interpolated fire perimeters.

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tgestabrook/Dixie-Fire-perimeter-interpolation

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Dixie-Fire-perimeter-interpolation

A script for testing out several methods of interpolating VIIRS and MODIS fire detection data to generate interpolated fire perimeters. The maps were developed for the following paper, currently under review:

Estabrook, Thomas, Jeremy S. Fried, Weimin Xi, Haibin Su, Jianwei Zhang. In review. "Predicting burn severity from forest stand structure and weather offers potential to map fire hazard mitigation." submitted to Ecosphere

Maps:

(30 meter cell size, cell values record the Julian interval, in hours, between 2021-01-01 00:00 GMT and fire detection)

  • VIIRS_tin.tif - Smoothed TIN interpolation of VIIRS points done in QGIS. This was my earliest attempt and, while it has some obvious visual artefacts, it ended up performing best in the model.
  • VIIRS_MODIS_idw_2km.tif - IDW interpolation of a layer made by combining VIIRS and MODIS detections. The 2 km window size came from Scaduto et al. 2020. This layer would need to be masked to the actual final Dixie perimeter.
  • VIIRS_MODIS_win_375m.tif - each pixel is assigned the timestamp of the earliest fire detection within a 375-meter window.
  • CI_raster.tif - this map uses the Courtney Intel IR hotspot kmz files found here. Each pixel with a value denotes its earliest appearance in a CI hotspot file. The FTP archive has substantially more data that could be leveraged in a similar way, but the CI hotspots seemed to have the most consistent timestamps and so required less data cleaning.
  • CI_raster_filled.tif - as above, but uses the IDW map to fill in NA values.

These were developed from the following remotely sensed datasets:

If you would like a copy of either layer, please reach out at my email: tgestab@umich.edu or thomas.estabrook@usda.gov

Works cited:

NRT VIIRS 375 m Active Fire product VNP14IMGT distributed from NASA FIRMS. Available on-line https://earthdata.nasa.gov/firms. doi:10.5067/FIRMS/VIIRS/VNP14IMGT_NRT.002

Scaduto, Erica, Bin Chen, and Yufang Jin. "Satellite-based fire progression mapping: A comprehensive assessment for large fires in northern California." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 (2020): 5102-5114.

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A script for testing out several methods of interpolating VIIRS and MODIS fire detection data to generate interpolated fire perimeters.

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