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Assessing Vegetation Function with Imaging Spectroscopy

机译:用成像光谱评估植被功能

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摘要

Healthy vegetation function supports diverse biological communities and ecosystem processes, and provides crops, forest products, forage, and countless other benefits. Vegetation function can be assessed by examining dynamic processes and by evaluating plant traits, which themselves are dynamic. Using both trait-based and process-based approaches, spectroscopy can assess vegetation function at multiple scales using a variety of sensors and platforms ranging from proximal to airborne and satellite measurements. Since spectroscopic data are defined by the instruments and platforms available, along with their corresponding spatial, temporal and spectral scales, and since these scales may not always match those of the function of interest, consideration of scale is a necessary focus. For a full understanding of vegetation processes, combined (multi-scale) sampling methods using empirical and theoretical approaches are required, along with improved informatics.
机译:健康的植被功能支持各种生物社区和生态系统流程,并提供作物,林产品,牧草和无数其他益处。 可以通过检查动态过程和评估植物特征来评估植被功能,本身是动态的。 使用基于特征和基于过程的方法,光谱学可以使用各种传感器和平台从近端到空气传播和卫星测量的平台评估植被功能。 由于光谱数据由可用的仪器和平台定义,以及它们相应的空间,时间和光谱比例,并且由于这些比例可能并不总是匹配感兴趣的功能,因此考虑比例是必要的焦点。 为了全面了解植被过程,需要使用经验和理论方法的组合(多尺度)采样方法以及改进的信息。

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