2016
DOI: 10.1080/15715124.2016.1205077
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Detecting heavy metal pollution of floodplain vegetation in a pot experiment using reflectance spectroscopy

Abstract: Floodplain soils at the Elbe River are frequently polluted by heavy metals. Metal enrichments are linked to the composition of the floodplain's plant community. Various studies have shown that soil characteristics, floodplain geomorphology and other factors may influence plant physiology and have demonstrated an overlapping of heavy metal pollution and growing conditions such as water and nutrient supply. The goal of this study was to assess and separate the current heavy metal contamination of the floodplain … Show more

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Cited by 8 publications
(2 citation statements)
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“…For the monitoring of fluvial systems using RS, GIS and topographic information, in-situ measurements as well as close-range and air-and spaceborne RS technologies are often used in combination with one another. The detailed object based classification of morphology forms using LiDAR data and the classification of hyperspectral data shows the distribution of heavy metal content in soils and vegetation in flood plain areas [177][178][179]. Various sensor technologies are implemented for this purpose such as digital cameras, video cameras, heat-, infrared-, hyper-, and multispectral sensors, RADAR, and LIDAR [167,168,180] (see also Table 5).…”
Section: Fluvial Landformsmentioning
confidence: 99%
“…For the monitoring of fluvial systems using RS, GIS and topographic information, in-situ measurements as well as close-range and air-and spaceborne RS technologies are often used in combination with one another. The detailed object based classification of morphology forms using LiDAR data and the classification of hyperspectral data shows the distribution of heavy metal content in soils and vegetation in flood plain areas [177][178][179]. Various sensor technologies are implemented for this purpose such as digital cameras, video cameras, heat-, infrared-, hyper-, and multispectral sensors, RADAR, and LIDAR [167,168,180] (see also Table 5).…”
Section: Fluvial Landformsmentioning
confidence: 99%
“…The issue of the vegetation response to geochemical fluctuations was initially discussed in relation to mineral exploration and detection of anomalies, with the thought-provoking works coupling geochemical stress studies and remote sensing [ 4 , 5 , 6 , 7 , 8 ]. Together with the geological search for mineralized sites, environmental concepts have been developed as well; current findings point to using spectrometric studies of the vegetation index as a tool to detect metal stressed plants [ 9 , 10 , 11 ].…”
Section: Introductionmentioning
confidence: 99%