This data set contains 2018 global forest fire case data for the whole year and 2019, including the forest fire in California in November 2018, the forest fire in Attica, Greece in July 2018, and the forest fire in Shanxi Province in March 2019. Case data. Specific data include: fire intensity data of the monitoring range and data of vegetation index changes before and after the disaster. The data set is mainly used to describe the occurrence, development, impact and recovery of major global forest fire events in the first half of 2018-2019. The data mainly comes from NASA official website and EM-DAT database, it was processed by statistical and spatial analysis methods using EXCEL and ArcGIS tools. The data source is reliable, the processing method is scientific and rigorous, and it can be effectively applied to global (forest fire) disaster case analysis research.

File naming and required software

File naming: The NDVI data file name is "zzz-ddd.tif", where zzz represents the region and ddd represents the date. For example, "greece-20180712.tif" represents this tif file describing the Greek forest fire case area on July 12, 2018. NDVI value. The fire intensity data file name is "dNBR.tif", and "dNBR" refers to the "normalized combustion ratio index" method for calculating the fire intensity.
Data reading mode: All tif files in the data set can be opened directly by remote sensing image processing software (such as ArcMap).

Data Citations Data citation guideline What's data citation?

Cite as:

Yang, Y., Gong, A., Wu, J., Zhou, H. (2019). Dataset of major global forest fire disasters (2018.01-2019.06). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Disas.tpdc.270203. CSTR: 18406.11.Disas.tpdc.270203. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)