An improved combined vegetation difference index and burn scar index approach for mapping cropland burned areas using combined data from Landsat 8 multispectral and thermal infrared bands
Shufu Liu A , Shudong Wang B A D , Tianhe Chi A , Congcong Wen A , Taixia Wu
C and Dacheng Wang A
+ Author Affiliations
- Author Affiliations
A Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China.
B State Environment Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China.
C School of Earth Sciences and Engineering, Hohai University, Nanjing, 211100, China.
D Corresponding author. Email: wangsd@radi.ac.cn
International Journal of Wildland Fire 29(6) 499-512 https://doi.org/10.1071/WF18146
Submitted: 1 September 2018 Accepted: 10 January 2020 Published: 25 February 2020
Abstract
The accurate extraction of agricultural burned area is essential for fire-induced air quality models and assessments of agricultural grain loss and wildfire disasters. The present study provides an improved approach for mapping uncontrolled cropland burned areas, which involves pre-classification using a difference vegetation index model for various agricultural land scenarios. Land surface temperature was analysed in burned and unburned areas and integrated into a previous burn scar index (BSI) model, and multispectral and thermal infrared information were combined to create a new temperature BSI (TBSI) to remove background noise. The TBSI model was applied to a winter wheat agricultural region in the Haihe River Basin in northern China. The extracted burned areas were validated using Gaofen-1 satellite data and compared with those produced by the previous BSI model. The producer and user accuracy of the new TBSI model were measured at 92.42 and 95.31% respectively, with an overall kappa value of 0.92, whereas those of the previous BSI model were 83.33, 87.30% and 0.86. The results indicate that the new method is more appropriate for mapping uncontrolled winter wheat burned area. Potential applications of this research include trace gas emission models, agricultural fire management and agricultural wildfire disaster assessment.
Additional keywords: agricultural land, BSI, TBSI, temperature index.
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