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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Global mapping of foliage clumping index using multi-angular satellite data
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Global mapping of foliage clumping index using multi-angular satellite data

机译:使用多角度卫星数据对叶子丛生指数进行全局映射

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Global mapping of the vegetation clumping index is attempted for the first time using multi-angular POLDER I data based on a methodology that has been demonstrated to be applicable to Canada's landmass. The clumping index quantified the level of foliage grouping within distinct canopy structures, such as tree crowns, shrubs, and row crops, relative to a random distribution. Vegetation foliage clumping significantly alters its radiation environment and therefore affects vegetation growth as well as water and carbon cycles. The clumping index is useful in ecological and meteorological models because it provides new structural information in addition to the effective LAI retrieved from mono-angle remote sensing and allows accurate separation of sunlit and shaded leaves in the canopy. The relationship between an angular index (normalized difference between hotspot and darkspot) and the clumping index is explored using a geometrical optical model named "4-Scale". A simplified version of the mechanistic hotspot model used in 4-Scale is developed to derive the hotspot reflectance from multi-angle measurements for mapping purposes. An accurate clumping map for areas with significant tree (shrub) covers has been achieved, although further research is required to reduce topographic effects. (C) 2005 Elsevier Inc. All rights reserved.
机译:首次尝试使用多角度POLDER I数据对植被丛生指数进行全球制图,该方法已被证明适用于加拿大的陆地。聚集指数量化了相对于随机分布的不同冠层结构(例如树冠,灌木和大田作物)中的叶子分组水平。植被丛生叶会明显改变其辐射环境,因此会影响植被生长以及水和碳循环。聚集指数在生态和气象模型中很有用,因为它除了提供从单角度遥感检索到的有效LAI之外,还提供了新的结构信息,并可以精确地分离冠层中阳光照射和阴影遮盖的叶子。使用名为“ 4-比例”的几何光学模型探索角指数(热点和暗点之间的归一化差异)与聚集指数之间的关系。开发了用于4-Scale的机械热点模型的简化版本,以从多角度测量中得出热点反射率,以进行映射。尽管需要进一步研究以减少地形影响,但已经获得了覆盖有大量树木(灌木)的区域的准确成簇图。 (C)2005 Elsevier Inc.保留所有权利。

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