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摘要

全文摘要次数: 111 全文下载次数: 133
引用本文:

DOI:

10.11834/jrs.20219208

收稿日期:

2019-06-14

修改日期:

2021-05-21

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基于多源数据的全国可燃物类型划分方法
摘要:

为满足国内大范围可燃物类型制图的需要,本文在国内外前人的研究工作基础上,建立了全国尺度的可燃物分类体系,并基于MODIS数据产品和中国植被区划数据,对全国森林、灌木和草本可燃物进行划分和成图。利用实地调查数据和其他数据产品,进行直接验证和交叉验证。可燃物类型图验证结果表明,一级可燃物类型总精度为90.89%,Kappa系数为0.81;二级可燃物类型总精度84.14%,Kappa系数为0.74;三级可燃物类型总精度为68.16%,Kappa系数0.6。应用多源数据对全国大范围森林、灌木和草本等可燃物类型进行划分并绘制成图,有效地实现了我国在全国尺度上的森林、灌木和草本等可燃物类型的遥感划分,为我国林火管理提供技术支持。

Method for classifying national fuel types based on Multi-source data
Abstract:

In order to meet the needs of large-scale mapping of forest, shrub and grass fuel types in China, a fuel types classification system has been developed referencing to research completed by others. The fuel types have been classified and mapped based on MODIS products and the map of vegetation regionalization. The classification results were validated using field survey data and other data products. The verification results show that the total accuracy of the fuel types at level 1, 2, 3 is 90.89%, 84.14% and 68.16% respective; and the Kappa coefficient of the fuel types at level 1, 2, 3 is 0.81, 0.74 and 0.6. The national scale fuel types, including forest, shrub and grass, have been classified and mapped using multi-source data. It can effectively develop the method for classifying national fuel types by using remote sensing and provide the technical support for forest fire management in China.

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