| 利用改进型MODIS火点探测算法实现河北省秸秆焚烧火点识别 |
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| 引用本文： | 魏英策,桑会勇,张涛,丛杨,谷祥辉.利用改进型MODIS火点探测算法实现河北省秸秆焚烧火点识别[J].全球定位系统,2019,44(1):125-130. |
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| 作者姓名： | 魏英策 桑会勇 张涛 丛杨 谷祥辉 |
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| 作者单位： | 山东科技大学测绘科学与工程学院;中国测绘科学研究院 |
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| 基金项目： | 场景集成建模与自适应表达(2017YFB0503502);专题性地理国情监测(B1803);国家地理国情监测分析(B1805);国家测绘地理信息局青年学术和技术带头人科研计划资助课题(Q1702);中国测绘科学研究院基本科研业务费项目(7771820);地球观测与时空信息科学国家测绘地理信息局重点实验室开放基金项目(777182102) |
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| 摘 要： | 为准确地了解河北省秸秆焚烧火点的空间分布,为秸秆焚烧监测的实现、禁烧工作的开展、环境质量改善提供支持.基于MODIS L1B数据、MODIS标准火点产品MOD14、全国秸秆焚烧火点日报数据为基础,采用改进型MODIS火灾探测算法,并通过IDL语言实现,得到秸秆焚烧火点空间分布信息,并进行空间与定量精度分析.研究表明:火点大部分位于河北省南部的一些地区,其中尤以邢台、石家庄、邯郸火点数量最为突出;该算法运算速度快,获取的秸秆焚烧火点数据具有一定检测精度和可靠性,对秸秆焚烧的监测具有一定的实用价值.
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| 关 键 词： | MODIS IDL 秸秆焚烧火点 火点探测算法 |
Realization of straw incineration fire point identification in Hebei Province by improved MODIS fire point detection algorithm |
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| WEI Yingce,SANG Huiyong,ZHANG Tao,CONG Yang,GU Xianghui.Realization of straw incineration fire point identification in Hebei Province by improved MODIS fire point detection algorithm[J].Gnss World of China,2019,44(1):125-130. |
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| Authors: | WEI Yingce SANG Huiyong ZHANG Tao CONG Yang GU Xianghui |
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| Affiliation: | (College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China;Chinese Academy of Surveying and Mapping, Beijing 100036, China) |
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| Abstract: | Accurately understanding the spatial distribution of straw burning points in Hebei province, we can provide support for the realization of straw burning monitoring, the development of banned burning work and the improvement of environmental quality. Based on MODIS L1B data, MODIS standard fire point product MOD14, and national straw burning fire point daily report data, the improved MODIS fire detection algorithm is adopted, and the IDL language is used to obtain the space segmentation information of straw burning fire point, and space and Quantitative accuracy analysis. The research shows that the fire point is mainly concentrated in the southern part of Hebei Province, especially Xiangtan, Shijiazhuang, and the number of cockroaches; the algorithm is fast, and the obtained straw burning point data has certain detection accuracy and reliability, and the monitoring of straw burning has certain practical. |
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| Keywords: | MODIS IDL the crop straw fire fire detection algorithm |
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