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An improved spatio-temporal clustering method for extracting fire footprints based on MCD64A1 in the Daxing’anling Area of north-eastern China

Huiyi Su https://orcid.org/0000-0002-0903-443X A , Xiu Ma B C and Mingshi Li A B *
+ Author Affiliations
- Author Affiliations

A College of Forestry, Nanjing Forestry University, Nanjing 210037, China.

B Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China.

C East China Inventory and Planning Institute of the State Administration of Forestry and Grassland, Hangzhou 310019, China.

* Correspondence to: nfulms@njfu.edu.cn

International Journal of Wildland Fire 32(5) 679-693 https://doi.org/10.1071/WF22198
Submitted: 28 September 2022  Accepted: 29 March 2023   Published: 26 April 2023



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