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Proceedings Paper

Method for quantifying crop residue burning in the Yangtze River delta based on MODIS fire products
Author(s): Guanwen Chen; Daoqin Zhou; Chaoyong Shen; Long Ma; Zhenhua Li
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Paper Abstract

Remote sensing technology has great advantages for fire detection, meanwhile, many studies neglect the contribution of small fires which appear burned area and time uncertainly. Crop residue burning is a kind of biomass burning, and a kind of small fires as well. So far, no matter the satellite remote sensing data or detecting algorithms that cannot meet monitoring requirements of crop residue burning. It is difficult to detect and monitor. In this paper, using MODIS burned area product and active fire product, the burned area detection algorithm of crop residue burning was developed, and then, took a test in the Yangtze River Delta. Results show that developed detection algorithm not only detect crop residue burning well, but also estimate the burned area. This study about small fires has obvious progress compared with other fire detection methods.

Paper Details

Date Published: 14 February 2020
PDF: 8 pages
Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143210 (14 February 2020); doi: 10.1117/12.2538126
Show Author Affiliations
Guanwen Chen, The Third Surveying and Mapping Institute of Guizhou Province (China)
Daoqin Zhou, The Third Surveying and Mapping Institute of Guizhou Province (China)
Chaoyong Shen, The Third Surveying and Mapping Institute of Guizhou Province (China)
Long Ma, Dalian Maritime Univ. (China)
Zhenhua Li, Panjin Customs District of Peoples Republic of China (China)


Published in SPIE Proceedings Vol. 11432:
MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Zhiguo Cao; Jie Ma; Zhong Chen; Yu Shi, Editor(s)

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