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Fire and vegetation type effects on soil hydrophobicity and infiltration in the sagebrush-steppe: II. Hyperspectral analysis

机译:火和植被类型对鼠尾草草原土壤疏水性和入渗的影响:II。高光谱分析

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Hyperspectral remote sensing methods were developed to identify and differentiate post-fire characteristics in burned sagebrush-steppe. This shrub-steppe environment is typical of the Intermountain West, where wildfire intervals are frequent. After a 78,000 ha wildfire in 2005 in southern Idaho, soil water repellency and fire severity were evaluated with field and airborne spectroscopy measurements. A hyperspectral analysis correctly identified bare ground, low and high fire severity grass areas and low fire severity shrub areas, with accuracies between 74 and 92%. The differentiation of moderate and high fire severity areas was ambiguous, resulting in accuracies between 39 and 54%. The hyperspectral analysis of soil water repellency resulted in a representative map of its distribution with an accuracy of 65%. The analysis techniques conducted in this project signify spectroscopy to be beneficial for differentiating soil characteristics and fire severity classes in burned shrub-steppe areas, where the mostly bare, spectrally homogenous soils exhibit subtle but significant changes in reflectance. The spatial representation of post-fire soil and vegetation conditions may provide a better understanding of post-fire vegetation and surficial processes (water and wind erosion) in shrub-steppe.
机译:开发了高光谱遥感方法,以识别和区分被烧的鼠尾草草原火灾后的特征。这种灌木草原环境是西部山区间的典型环境,那里的野火间隔很频繁。在2005年爱达荷州南部发生78,000公顷的野火之后,通过野外和空中光谱测量技术评估了土壤的拒水性和火灾严重性。高光谱分析可以正确地识别出裸露的地面,低火度和高火度的草地区域以及低火度的灌木丛区域,其准确度在74%到92%之间。中度和高度火灾严重性区域的区分不明确,导致准确度在39%至54%之间。对土壤疏水性的高光谱分析得出了其代表性分布图,其准确度为65%。在该项目中进行的分析技术表明,光谱学有助于区分燃烧过的灌木草原地区的土壤特征和火灾严重性等级,在这些地区,大部分裸露的,光谱均匀的土壤反射率变化不大,但变化很大。火灾后土壤和植被状况的空间表示可以更好地了解灌木草原的火灾后植被和表层过程(水和风蚀)。

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