路易斯安那州沿海互花米草沼泽枯死病发生和发展的遥感方法

A. Rangoonwala, E. Ramsey, G. Nelson
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引用次数: 0

摘要

我们调查了在路易斯安那州沿海观测到的沼泽枯死现象的发生和监测进展中遥感的使用情况。在我们的调查中,我们证明了枯枝生长的早期和后期通常与绿色和红色叶边反射率的变化和趋势有关,而沼泽影响的后期则以蓝色和红色叶边反射率的趋势为代表。叶片近红外(nir)反射率变化趋势不确定,而叶片胡萝卜素和叶绿素的相对变化预测表明胁迫植物。近红外/红色比率遵循蓝色和红色反射率趋势,而近红外/绿色比率模仿绿色和红色边缘反射率趋势,表明影响的开始和进展,以及表明影响的后期阶段。nir/green还提供了一种方便的方法来确定枯死发生的相对时间,并提供了一种适用于当前业务卫星遥感的操作解决方案。在我们成功地将叶片光学变化与沼泽枯死发生和进展联系起来之后,我们将新开发的方法应用于特定地点的冠层反射光谱变化。在叶片光谱分析期间,从沼泽和有明显枯死迹象的地点收集了冠层反射光谱(从直升机平台获得的~20 m地面分辨率)。采用了两种分析量表。一个代表全光谱高光谱传感器,如NASA EO1 Hyperion和其他宽带光谱传感器,如NASA EO1高级陆地成像仪和Landsat增强型专题绘图仪(限于约400纳米至1000纳米)。利用全光谱分析产生的光谱指标来确定每个站点死亡和健康沼泽组成的百分比。这些成分被分类为具有相似枯死水平的沼泽遗址组。从野外光谱中提取的蓝、绿、红、红边和近红外(nir)光谱带以及nir/绿和nir/红波段变换分别与沼泽枯死病和根据冠层反射率记录收集的35- mm载片分类计算的进展指标相关。全光谱和宽带光谱指标均能区分(1)健康沼泽、(2)受枯死影响的活沼泽和(3)死沼泽的差异。宽带指标在受影响的活沼泽中提供了一些枯死病进展的判断,而全光谱高光谱指标对枯死病的发生和进展提供了更多的辨别。2000年春天,在德克萨斯州和佛罗里达州的部分地区以及整个路易斯安那州的沿海地区首次观察到沼泽枯梢病,通常被称为“棕色沼泽”。在枯死地点,通常稠密和健康的潮间带盐沼,主要由互花米草或光滑的网草组成,迅速变褐,许多最终死亡。黄杨分布广泛,在沿海许多地区影响了大部分盐沼地区(图1)。枯死的发生明显表明沼泽生物物理性质的变化加剧和加剧。在许多没有被开阔水域或其他一些自然或人工特征突然减少的枯死地点,沼泽冠层以地带性模式从少数植物发展到围绕死沼泽的更密集、更健康的沼泽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote sensing methods for mapping the onset and progression of spartina alterniflora marsh dieback in coastal louisiana
We investigated the use of remote sensing in mapping the occurrence and monitoring the progression of a marsh dieback phenomenon observed in coastal Louisiana. Within our investigation, we demonstrated that the early and later stages of dieback progression were generally associated with green and red edge leaf reflectance changes and trends, while the later stages of marsh impact were represented by trends in blue and red leaf reflectance. Near infrared (nir) leaf reflectance trends were inconclusive while relative changes in predicted leaf carotene and chlorophyll were indicative of stressed plants. The nir/red ratio followed blue and red reflectance trends while the nir/green ratio mimicked the green and red edge reflectance trends indicating impact onset and progression as well as indicating later stages of impact. The nir/green also provided a convenient method to determine the relative time since dieback onset and offered an operational solution that would be amenable for current operational satellite remote sensing, Following our successful linkage of leaf optical changes to marsh dieback onset and progression, we applied our newly developed methods to changes in site-specific canopy reflectance spectra. Canopy reflectance spectra (~20 m ground resolution gained from a helicopter platform) were collected from marsh sites occupied during the leaf spectral analyses and sites exhibiting visual signs of dieback. Two scales of analyses were employed. One represented whole-spectra hyperspectral sensors such as the NASA EO1 Hyperion and the other broadband spectral sensors such as the NASA EO1 Advanced Land Imager and the Landsat Enhanced Thematic Mapper (limited to about 400 nm to 1000 nm). Spectral indicators generated in the whole-spectra analysis were used to determine the percent dead and healthy marsh composition at each site. The compositions were used classified into groups of marsh sites exhibiting similar levels of dieback. Separately, blue, green, red, red-edge, and near infrared (nir) spectral bands extracted from the field spectra and nir/green and nir/red band transforms were related to marsh dieback and progression indicators calculated from classifications of the 35- mm slides collected with the canopy reflectance recordings. Both the whole spectra and broadband spectral indicators could distinguish differences in (1) healthy marsh, (2) live marsh impacted by dieback, and (3) dead marsh. Broadband indicators provided some determination of dieback progression within the impacted live marsh while whole spectra hyperspectral indicators offered increased discrimination of dieback onset and progression. I. INTRODUCTION Areas of marsh dieback, commonly termed "brown marsh," were first observed in parts of Texas and Florida and throughout coastal Louisiana in the spring of 2000. At dieback sites, the normally dense and healthy intertidal salt marshes mostly composed of Spartina alterniflora or smooth cordgrass rapidly browned, and many ultimately died. Distribution of the dieback was widespread, and in many areas of the coast it affected a majority of the salt marsh area Fig.1. The occurrence of dieback clearly suggested an aggravated and elevated change in the marsh biophysical properties. At many dieback sites not abruptly curtailed by open water or some other natural or artificial feature, marsh canopy progressed in a zonal pattern from a few plants to a denser, healthier marsh surrounding the dead marsh.
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