Paper
14 February 2020 Method for quantifying crop residue burning in the Yangtze River delta based on MODIS fire products
Guanwen Chen, Daoqin Zhou, Chaoyong Shen, Long Ma, Zhenhua Li
Author Affiliations +
Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 1143210 (2020) https://doi.org/10.1117/12.2538126
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China
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.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guanwen Chen, Daoqin Zhou, Chaoyong Shen, Long Ma, and Zhenhua Li "Method for quantifying crop residue burning in the Yangtze River delta based on MODIS fire products", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143210 (14 February 2020); https://doi.org/10.1117/12.2538126
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KEYWORDS
Combustion

MODIS

Detection and tracking algorithms

Algorithm development

Flame detectors

Remote sensing

Spatial resolution

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