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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry
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Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry

机译:光谱法在沼泽湿地中纸莎草植被(莎草纸莎草)的光谱鉴别

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Techniques for mapping and monitoring wetland species are critical for their sustainable management. Papyrus (Cyperus papyrus L.) is one of the most important species-rich habitats that characterize the Greater St. Lucia Wetlands Park (GSWP) in South Africa. This paper investigates whether papyrus could be discriminated from its co-existing species using ASD field spectrometer data ranging from 300 nm to 2500 nm, yielding a total of 2151 bands. Canopy spectral measurements from papyrus and three other species were collected in situ in the Greater St. Lucia Wetlands Park, South Africa. A new hierarchical method based on three integrated analysis levels was proposed and implemented to spectrally discriminate papyrus from other species as well as to reduce and subsequently select optimal bands for the potential discrimination of papyrus. In the first level of the analysis using ANOVA, we found that there were statistically significant differences in spectral reflectance between papyrus and other species on 412 wavelengths located in different portions of the electromagnetic spectrum. Using the selected 412 bands, we further investigated the use of classification and regression trees (CART) in the second level of analysis to identify the most sensitive bands for spectral discrimination. This analysis yielded eight bands which are considered to be practical for upscaling to airborne or space borne sensors for mapping papyrus vegetation. The final sensitivity analysis level involved the application of Jeffries-Matusita (JM) distance to assess the relative importance of the selected eight bands in discriminating papyrus from other species. The results indicate that the best discrimination of papyrus from its co-existing species is possible with six bands located in the red-edge and near-infrared regions of the electromagnetic spectrum. Overall, the study concluded that spectral reflectance of papyrus and its co-existing species is statistically different, a promising result for the use of airborne and satellite sensors for mapping papyrus. The three-step hierarchical approach employed in this study could systematically reduce the dimensionality of bands to manageable levels, a move towards operational implementation with band specific sensors.
机译:测绘和监测湿地物种的技术对于其可持续管理至关重要。纸莎草(莎莎纸莎草)是南非大圣露西亚湿地公园(GSWP)的最重要物种丰富的栖息地之一。本文使用范围从300 nm到2500 nm的ASD现场光谱仪数据研究了是否可以将纸莎草与其共存物种区分开,总共产生2151条谱带。在南非的大圣露西亚湿地公园就地收集了纸莎草和其他三个物种的冠层光谱测量值。提出了一种基于三个综合分析水平的新的分层方法,该方法可以对纸莎草与其他物种进行光谱区分,并减少和随后选择最佳谱带进行纸莎草的潜在鉴别。在使用ANOVA进行分析的第一级中,我们发现纸莎草纸和其他物种在位于电磁光谱不同部分的412个波长上的光谱反射率存在统计学上的显着差异。使用选定的412条谱带,我们进一步研究了第二级分析中分类树和回归树(CART)的使用,以识别最敏感的谱带以进行光谱识别。该分析产生了八个频带,这些频带被认为对于将其放大到用于绘制纸莎草植被的空中传感器或空间传感器很实用。最终的灵敏度分析级别包括应用Jeffries-Matusita(JM)距离来评估选定的8个频段在区分纸莎草和其他物种中的相对重要性。结果表明,通过位于电磁波谱的红边和近红外区域中的六个波段,可以最好地区分纸莎草与纸莎草的共存物种。总体而言,该研究得出的结论是,纸莎草及其共存物种的光谱反射率在统计上是不同的,这对于使用机载和卫星传感器绘制纸莎草的结果是有希望的结果。本研究中采用的三步分层方法可以系统地将频段的维数降低到可管理的水平,这是朝着使用特定频段传感器的操作实施迈进的一步。

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