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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Cellulose absorption index (CAI) to quantify mixed soil-plant litter scenes
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Cellulose absorption index (CAI) to quantify mixed soil-plant litter scenes

机译:纤维素吸收指数(CAI)量化土壤-植物凋落物混合场景

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Quantification of plant litter cover on the soil surface is necessary in both agricultural and natural systems because the presence of litter influences the flow of nutrients, carbon, water, and energy in terrestrial ecosystems. Although remote sensing methods for measuring plant litter cover provide both a wider area of coverage and a more objective estimate of the spatial variability of litter than manual methods of quantifying the nongreen vegetation landscape components (e.g., litter or soil percent cover), it has been difficult to assess the efficiency of detecting partial litter cover over different soil types. The objectives of this study were (i) to acquire spectral reflectance data for four crop residues and two forest litter types in mixed scenes of soil and plant litter, (ii) to derive relationships that show the spectral variable, cellulose absorption index (CAI), as a function of the amount of litter on the soil surface, and (iii) to test whether the variability of soil background reflectance inhibits the detection of residues and/or the ability to quantify residue cover. Scenes of known amounts of plant litter covering three contrasting soils were prepared and their reflectance spectra (0.4-2.5 μm) were measured with a hyper-resolution spectroradiometer. Litter from four crop (corn, soybean, rice, and wheat) and two tree species (coniferous and deciduous) were included. The CAI (0.5(R{sub}2.0+R{sub}2.2) - R{sub}2.1) describes the average depth of the cellulose absorption feature at 2.1 [am in reflectance spectra. Positive values of CAI indicate the presence of cellulose. The mean CAI of the soils was - 2.0 while the mean CAI of the plant litter was 5.2. CAI increased linearly for each plant litter as the amount of plant litter in the scene increased from 0% (bare soil) to 100% cover. The CAI values of mixed scenes with more than 10% litter cover were significantly larger than the CAI values of the soils. The results of this study indicate that CAI is useful for quantifying plant litter cover, even at low percent cover.
机译:在农业和自然系统中,必须对土壤表面的植物凋落物进行量化,因为凋落物的存在会影响陆地生态系统中养分,碳,水和能量的流动。尽管与手动量化非绿色植被景观成分(例如,凋落物或土壤覆盖率)的方法相比,用于测量植物凋落物覆盖率的遥感方法不仅可以提供更大的覆盖范围,而且可以更客观地估计凋落物的空间变异性,但是难以评估检测不同土壤类型的局部凋落物覆盖率的效率。这项研究的目的是(i)获取土壤和植物凋落物混合场景中四种农作物残渣和两种森林凋落物类型的光谱反​​射率数据,(ii)得出显示光谱变量,纤维素吸收指数(CAI)的关系,取决于土壤表面垫料的数量,以及(iii)测试土壤背景反射率的变化是否会抑制残留物的检测和/或量化残留物覆盖率的能力。准备覆盖三种对比土壤的已知植物凋落物的场景,并用超分辨率光谱仪测量其反射光谱(0.4-2.5μm)。包括四种作物(玉米,大豆,水稻和小麦)和两种树种(针叶和落叶)的凋落物。 CAI(0.5(R {sub} 2.0 + R {sub} 2.2)-R {sub} 2.1)描述了反射光谱中[2.1] am处纤维素吸收特征的平均深度。 CAI的正值表示存在纤维素。土壤的平均CAI为-2.0,而植物凋落物的CAI为5.2。随着场景中植物凋落物的数量从0%(裸土)增加到100%的覆盖率,每个植物凋落物的CAI线性增加。凋落物覆盖率超过10%的混合场景的CAI值显着大于土壤的CAI值。这项研究的结果表明,即使覆盖率很低,CAI也可用于量化植物凋落物的覆盖率。

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