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Method for Burned Forest Biomass Estimation at Subcompartment Level Using GF-1 images and GIS Datasets

机译:GF-1图像和GIS数据集的小班级森林生物量估算方法

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To estimate the burned biomass and get the burned fuel types information by forest fire for the need of Chinese forestry management, basing on the fuel load from digital reference data, the combustion factor gotten from fieldwork, and the results of burned scar mapping by using the No.1 High-Resolution satellite (GF-1) of Chinese, the burned biomass estimation method at the subcompartment level has been developed using satellite images and Geography datasets. The method has been validated by the selected forest fire, which had taken place in Huangcaobai of Anning City, Yunnan province in year 2012.The total burned biomass is about 1.18 × 108 kg by using the panchromatic and multispectral scanners (PMS) image of GF-1; however, it is about 1.11 × 108 kg by using the Wide Coverage Image (WFV) of GF-1. The difference between them is 7.10 × 106 kg. This study also supplies a method for the single forest fire case when the fire radiative power (FRP) or fire radiative energy (FRE) of detected active fire points by using sparse low spatial resolution satellite images doesn’t satisfied the condition of Power Law distribution or Gaissian function.
机译:根据中国森林管理的需要,通过森林火灾估算燃烧的生物量并获取燃烧的燃料类型信息,基于数字参考数据中的燃料负荷,实地调查得出的燃烧因子以及通过使用作为中国的第一颗高分辨率卫星(GF-1),已使用卫星图像和地理数据集开发了小班级别的燃烧生物量估算方法。该方法已通过选定的森林大火进行了验证,该大火于2012年在云南省安宁市的黄草白发生。 -1;但是,使用GF-1的宽幅图像(WFV),重量约为1.11×108千克。它们之间的差是7.10×106公斤。本研究还提供了一种稀疏的低空间分辨率卫星图像检测到的活跃火点的火辐射功率(FRP)或火辐射能量(FRE)不满足幂律分布条件的单一森林火灾案例或高斯函数。

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