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首页> 外文期刊>Journal of Geographic Information System >Analyzing Field-Derived Arboreal Spectral Signatures
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Analyzing Field-Derived Arboreal Spectral Signatures

机译:分析场衍生的树状光谱特征

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Orbital platforms spectral sensitivity can be a major limitation in ascertaining detailed identification and mapping of arboreal ecosystems. Field-derived spectral signatures using a narrow-band sensor, for example, ASD (Analytical Spectral Devices, Boulder, CO, USA) FieldSpec? Pro cover a spectral FR (Full Range) of 350 - 2500 nm exceeding spectral sensitivities of commonly used orbital platforms. The plausibility of deriving a spectral library of trees or forests within a training set is venerable. On the other hand, diagnostic spectral features between tree species or types are inherently difficult to ascertain from orbital platforms. This is so especially when the spectral library is applied to a demarcated region beyond the extents of training set. Basic suborbital limitations in detailed identification of trees and forests are presented in this study. We draw attention to spectral or temporal deficiencies and offer probable solutions depending on preferred or optimal spectral sensitivities. For example, Hyperion with 220 bands (400 - 2500 nm), one of the three primary instruments on the EO-1 spacecraft, has narrow bandwidths and covers the entire range of the spectral profiles collected for North Dakota tree species. With a 30 m spatial resolution, it is still useful in species identification in moderate stands of forest. Hyperion is a tasking satellite with limited passes over North Dakota (≈7% of total area) limiting its use as a platform of choice for statewide forest resource mapping.
机译:轨道平台的光谱灵敏度可能是确定树状生态系统详细标识和制图的主要限制。使用窄带传感器(例如,ASD(分析光谱设备,美国科罗拉多州博尔德))的场派光谱签名。 Pro覆盖了350-2500 nm的光谱FR(全范围),超过了常用轨道平台的光谱灵敏度。在训练集内推导树木或森林的光谱库的合理性令人尊敬。另一方面,固有地难以从轨道平台确定树种或类型之间的诊断光谱特征。在将光谱库应用于训练集范围之外的已划分区域时,尤其如此。在这项研究中提出了详细鉴定树木和森林的基本亚轨道限制。我们提请注意光谱或时间上的缺陷,并根据首选或最佳光谱灵敏度提供可能的解决方案。例如,EO-1航天器上三大主要仪器之一的220波段(400-2500 nm)的Hyperion具有较窄的带宽,并涵盖了为北达科他州树种收集的光谱分布图的整个范围。它具有30 m的空间分辨率,在中等森林林分的物种识别中仍然有用。 Hyperion是一颗任务卫星,在北达科他州的通行证有限(约占总面积的7%),限制了其作为全州森林资源制图平台的选择。

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