Data supporting the manuscript : Assessing Global Wildfire Seasonality Variations Using Daily Satellite Data from 2001 to 2022

Authors

Ruixuan Li, South Dakota State UniversityFollow
Xiaoyang Zhang, South Dakota State UniversityFollow
Fangjun Li, South Dakota State UniversityFollow
Yongchang Ye, South Dakota State UniversityFollow
Shuai An, South Dakota State UniversityFollow
Aihua Zhu, 2Science & Technology Corp

Document Type

Data set

Publication Date

9-2025

Description

Description of the dataset: This dataset is for the paper "Assessing Global Wildfire Seasonality Variations Using Daily Satellite Data from 2001 to 2022". The datasets contain the global 0.25-degree grid daily mean FRP value from 2001-2022 (grouped by year).
The datasets originated from Blended Global Biomass Burning Emissions Product-Extended (GBBEPx), which can also be found at https://www.ospo.noaa.gov/products/land/gbbepx/.

File size: 561 MB
File type: .zip / .netCDF

Recommended Citation

Li, Ruixuan; Zhang, Xiaoyang; Li, Fangjun; Ye, Yongchang; An, Shuai; and Zhu, Aihua, "Data supporting the manuscript : Assessing Global Wildfire Seasonality Variations Using Daily Satellite Data from 2001 to 2022" (2025). Global Land Surface Season Data Sets. 11.
https://openprairie.sdstate.edu/global_land_surface_season_data/11