Paper
12 January 2023 Study on the influence mechanism of combustion index on remote sensing detection of crop straw burning
Ziyu Wang, Zhanqiang Chang, Jiewei He
Author Affiliations +
Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125090R (2023) https://doi.org/10.1117/12.2655860
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China
Abstract
Straw burning is a harmful and dangerous method to treat the residue of crop straw. At present, remote sensing index is widely used in the detection of incineration area. This paper tries to discuss the factors and specific ways that affect the discriminant effect of combustion index. In this paper, we used Landsat 5 image data taken in 2011 for the study area of Henan Province, combined with MODIS flash point data from May to June 2011, and then analysed the three factors on the impact of straw burning index white (burning area index). After dividing different influencing factors, the differentiation index of BAI was calculated to judge the effects of influencing factors. The results show that for the recognition indexes of different bands, the value of the near infrared band is the largest. At different times, the discrimination index decreased significantly around the 10th day. In the planting system, the effect of distinguishing two crops a year is better. It is concluded that BAI index differentiation effect is the best in the near infrared band in 10 days before the combustion of one year and two seasons.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ziyu Wang, Zhanqiang Chang, and Jiewei He "Study on the influence mechanism of combustion index on remote sensing detection of crop straw burning", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125090R (12 January 2023); https://doi.org/10.1117/12.2655860
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KEYWORDS
Combustion

Remote sensing

Earth observing sensors

Infrared radiation

Landsat

MODIS

Vegetation

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