DOI: 10.5281/zenodo.16285916
title: Model data and code associated with research to use multispectral information and machine learning to improve daytime fire radiative power estimation from METImage measurements

description: Model validation data files, machine learning (ML) model testing and training data files, and IDL code files associated with research to use multispectral information and machine learning to improve daytime fire radiative power estimation from METImage measurements.

This dataset is associated with Gu et al. (2025), "Using multispectral information and machine learning to improve daytime fire radiative power estimation from METImage measurements," Ecological Informatics, doi:10.1016/j.ecoinf.2025.103358

 
description: Data files: 2 files, 566 KB





Model-data-and-code-package.zip Zip File (6 Files, 2 Folders) 437 KB






01_Model-data-files






Au_fire_sample.txt Text Document 523 KB




Rhea_fire_sample.txt Text Document 37 KB




ML_model_testing_data.test TEST File 115 KB




ML_model_training_data.data DATA File 366 KB





02_Code-files






Radiance_ML_model_final.txt Text Document 7 KB




Radiance_ML_model_final.pro PRO File 7 KB






Data-documentation.pdf Adobe Acrobat Document 128 KB



Data dictionaries:





Au_fire_sample.txt; Radiance machine learning (ML) model validation data collected from Australia, column headers:







Latitude (decimal degrees)




Longitude (decimal degrees)




Solar zenith angle (decimal degrees)




Satellite zenith angle (decimal degrees)




VIIRS proxy at-sensor radiance data for band M02 0.445 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M04 0.555 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M05 0.673 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M07 0.865 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M08 1.24 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M09 1.378 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M10 1.61 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M11 2.25 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M12 3.7 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M14 8.55 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M15 10.763 µm (W.m-2.sr-1.µm-1)




VIIRS proxy at-sensor radiance data for band M16 12.013 µm (W.m-2.sr-1.µm-1)




Total number of the saturated bands (Numerical value)




VIIRS proxy at-sensor radiance data for band M13 4.05 µm (W.m-2.sr-1.µm-1)







Rhea_fire_sample.txt; Radiance ML model validation data collected from US Rhea, column headers are the same as the above “Au_fire_sample.txt”




ML_model_testing_data.test; Radiance ML model testing data, column headers are the same as the above “Au_fire_sample.txt”




ML_model_training_data.data; Radiance ML model training data, column headers are the same as the above “Au_fire_sample.txt”



Cited datasets and data sources:





Csiszar, Ivan, Cheng, Zhaohui, Wolf, Walter, Giglio, Louis, Schroeder, Wilfrid, and NOAA JPSS Program Office (2016): NOAA JPSS Visible Infrared Imaging Radiometer (VIIRS) Active Fires Environmental Data Record (EDR) from NDE. NOAA National Centers for Environmental Information. https://doi.org/10.7289/V5GH9G0T


Cao, Changyong, Deluccia, Frank, Qiu, Shuang and NOAA JPSS Program Office (2012). NOAA JPSS Visible Infrared Imaging Radiometer Suite (VIIRS) Sensor Data Record (SDR) from IDPS. NOAA National Centers for Environmental Information. https://doi.org/10.7289/V58G8HSZ



JSTAR Mapper. NOAA Center for Satellite Applications and Research (STAR) and NOAA Joint Polar Satellite System (JPSS) Program Office. https://www.star.nesdis.noaa.gov/mapper/