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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Spectral monitoring of moorland plant phenology to identify a temporal window for hyperspectral remote sensing of peatland
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Spectral monitoring of moorland plant phenology to identify a temporal window for hyperspectral remote sensing of peatland

机译:光谱监测高地植物物候,确定泥炭地高光谱遥感的时间窗口

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摘要

Recognising the importance of the timing of image acquisition on the spectral response in remote sensing of vegetated ecosystems is essential. This study used full wavelength, 350-2500 nm, field spectroscopy to establish a spectral library of phenological change for key moorland species, and to investigate suitable temporal windows for monitoring upland peatland systems. Spectral responses over two consecutive growing seasons were recorded at single species plots for key moorland species and species sown to restore eroding peat. This was related to phenological change using narrowband vegetation indices (Red Edge Position, Photochemical Reflectance Index, Plant Senescence Reflection Index and Cellulose Absorption Index); that capture green-up and senescence related changes in absorption features in the visible to near infrared and the shortwave infrared. The selection of indices was confirmed by identifying the regions of maximum variation in the captured reflectance across the full spectrum. The indices show change in the degree of variation between species occurring from April to September, measured for plant functional types. A discriminant function analysis between indices and plant functional types determines how well each index was able to differentiate between the plant functional groups for each month. It identifies April and July as the two months where the species are most separable. What is presented here is not one single recommendation for the optimal temporal window for operational monitoring, but a fuller understanding of how the spectral response changes with the phenological cycle, including recommendations for what indices are important throughout the year.
机译:认识到植被生态系统遥感中图像采集时间对光谱响应的重要性至关重要。这项研究使用了350-2500 nm的全波长场光谱技术,建立了主要荒地物种物候变化的光谱库,并研究了用于监测陆地泥炭地系统的合适时窗。在关键的荒地物种和为恢复侵蚀的泥炭而播种的物种的单个物种小区中,记录了两个连续生长季节的光谱响应。这与使用窄带植被指数(红边位置,光化学反射指数,植物衰老反射指数和纤维素吸收指数)的物候变化有关;可以捕获可见光到近红外和短波红外中吸收特征的绿化和衰老相关的变化。通过确定整个光谱范围内捕获的反射率变化最大的区域,可以确定指标的选择。指数显示了从4月到9月发生的物种之间变异程度的变化,以植物功能类型衡量。指标与植物功能类型之间的判别功能分析决定了每个指数每个月能够区分植物功能组的程度。它确定4月和7月为该物种最容易分离的两个月。这里提供的不是针对操作监控的最佳时间窗口的单个建议,而是对光谱响应如何随物候周期变化的更全面理解,包括对全年重要指标的建议。

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    Upland Environments Research Unit, School of Environment and Development, University of Manchester, Oxford Road, Manchester M13 9PL, UK,Centre for Landscape and Climate Research (CLCR), University of Leicester, University Road, Leicester LE1 7RH, UK;

    Upland Environments Research Unit, School of Environment and Development, University of Manchester, Oxford Road, Manchester M13 9PL, UK;

    Upland Environments Research Unit, School of Environment and Development, University of Manchester, Oxford Road, Manchester M13 9PL, UK;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vegetation; Ecology; Hyper spectral; High resolution; Spectral; Monitoring;

    机译:植被;生态;高光谱高分辨率;光谱监控方式;

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