Post-fire burn area and burn severity mapping with airborne multispectral images

机译：火灾后烧伤区域和烧伤严重程度与机载多光谱图像的映射

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Post-fire resource management and reforestation programs depend on how accurate this information is. It is important to our understanding of burn severity for post-fire forest. Remote sensing is the most practical method to obtain the information of forest fire. The objectives of this research were to test the use of DMC airborne multispectral images for mapping burn severity. Indices test includes the difference normalized difference vegetation index (dNDVI), difference second principal component axes (dPC2). The multi-temporal indices (dNDVI and dPC2) were useful for burn severity mapping.

机译：火灾后的资源管理和重新造林计划取决于此信息的准确性。这对于我们了解燃后森林烧伤严重性非常重要。遥感是获取森林火灾信息的最实用方法。这项研究的目的是测试使用DMC机载多光谱图像来绘制燃烧严重性。指标测试包括差异归一化差异植被指数（dNDVI），差异第二主成分轴（dPC2）。多时间指标（dNDVI和dPC2）可用于烧伤严重性映射。

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《30th Asian conference on remote sensing 2009》|2009年|P.1625-1631|共7页
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Shou-Tsung Wu; Yi- Ta Hsieh; Yuh- Lurng Chung;
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中图分类遥感技术;
关键词
post-fire management; NDVI; PCA; burn severity;

机译：火灾后管理; NDVI; PCA;烧伤严重程度;

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Post-fire burn area and burn severity mapping with airborne multispectral images

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