The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 127–134, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-127-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 127–134, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-127-2022
 
30 May 2022
30 May 2022

AN OPTIMIZED REMOTE SENSING RECOGNITION APPROACH FOR STRAW BURNING IN HENAN PROVINCE, CHINA

Y. Lin1,2, Y. Rong1, J. Yu1,2, H. C. Zhang3, and L. Li1 Y. Lin et al.
  • 1College of Surveying, Mapping and Geo-information, Tongji University, Shanghai, China
  • 2Research Center of Remote Sensing & Spatial Information Technology, Shanghai, China
  • 3Chinese Academy of Surveying and Mapping, Beijing, China

Keywords: Satellite Remote Sensing, Optimised Threshold Determination Method, Henan Province, Straw Burning, Fire Point Recognition

Abstract. In the paper, Henan Province with prevalent straw burning was taken as the study case. Aimed at remote sensing recognition of the straw burning fire points in a large-scale area with complex terrain and climate conditions, an optimized recognition strategy of straw burning was proposed based on the MOD021KM data. In our new recognition strategy, the threshold determination method was optimised by systematic statistical analysis of spectral features. Then the non-straw burning fire points were eliminated by extracting the agricultural land from MCD12Q1 image. Thus, the true straw-burning fire points were determined. The results showed that the recognition accuracy of straw burning fire points was effectively improved by optimized threshold determination method.