Identifying optimal spectral bands from in situ measurements of Great Lakes coastal wetlands using second-derivative analysis
Identifying optimal spectral bands from in situ measurements of Great Lakes coastal wetlands using second-derivative analysis
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DOI：
10.1016/j.rse.2005.04.020
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发表时间：
2005-07
影响因子：
13.5
通讯作者：
B. Becker;D. Lusch;J. Qi
中科院分区：
文献类型：
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作者：
B. Becker;D. Lusch;J. Qi
获得了休伦湖普伦蒂斯湾和马蹄湾内主要植物和基质类别的广泛原位反射光谱（即 252 个波段）。这些光谱辐射测量结果被转换为相对反射率百分比，然后重新采样以模拟机载高光谱图像的波段配置，这些图像也是从这些地点获取的。对这些转换后的光谱进行二阶导数分析，以确定哪些光谱带对于五大湖沿海湿地植被的分化最具植物学解释性（即最佳）。这项研究确定了可见光-近红外波长区域的 8 个最佳波段（按重要性递减顺序：685.5、731.5、939.9、514.9、812.3、835.5、823.9 和 560.1 nm），这些波段似乎包含全光谱分辨率、48 波段高光谱特征的大部分沿海湿地信息内容。在不显着信息丢失的情况下减少带数非常重要，因为它使得利用小像素变得可行，而不必担心牺牲区分植物群落的能力。
Extensive, in situ, reflectance spectra (i.e., 252 bands) were acquired for the dominant botanical and substrate classes within Prentiss Bay and Horseshoe Bay, Lake Huron. These spectral radiance measurements were transformed into relative percent reflectance and then resampled to emulate the band configurations of the airborne, hyperspectral imagery that was also acquired of the sites. Second-derivative analysis was applied to these transformed spectra in order to identify which spectral bands were the most botanically explanative (i.e., optimal) for the differentiation of coastal wetland vegetation in the Great Lakes. This research identified 8 optimal bands in the visible–NIR wavelength region (in order of decreasing importance: 685.5, 731.5, 939.9, 514.9, 812.3, 835.5, 823.9 and 560.1 nm) that appear to contain the majority of the coastal wetland information content of the full spectral resolution, 48-band, hyperspectral signatures. A reduction of band number without significant information loss is important because it makes it practical to utilize small pixels without fear of sacrificing the ability to differentiate the botanical communities.