Monitoring the Extent of Contamination from Acid Mine Drainage in the Iberian Pyrite Belt (SW Spain) Using Hyperspectral Imagery

Riaza, A.; Buzzi, J.; García‐Meléndez, Eduardo; Carrère, V.; Müller, Andreas

doi:10.3390/rs3102166

Cited by 32 publications

(21 citation statements)

References 21 publications

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“…The trend in remote sensing instrumentation is toward improvements in spectral and spatial resolutions, with hyperspectral systems and associated processing techniques offering some of the greatest potential for near-term enhancement of remote sensing capacities (e.g., [1,2]). However, the available geographic coverage of images generated by orbiting hyperspectral sensors or advanced multispectral sensors (e.g., Hyperion and ASTER) currently remains limited relative to that of multispectral systems designed to support the long-term monitoring of global surface cover.…”

Section: Introductionmentioning

confidence: 99%

Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

Leverington

Moon

2012

Remote Sensing

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Abstract:In order to better constrain the utility of multispectral datasets in the characterization of surface materials, Landsat Thematic Mapper (TM) data were evaluated in the discrimination of geological classes in the Cape Smith Belt of Quebec, a greenstone belt that hosts Early Proterozoic units including those of the Purtuniq ophiolite. Ground-based measurements collected for the study area highlight the importance of chemical alteration in controlling the reflectance properties of key geological classes. The spatial distribution of exposed lithologies in the study area was determined through (1) image classification using a feedforward backpropagation neural network classifier; and (2) generation of fraction images for spectral end members using a linear unmixing algorithm and ground reflectance data. Despite some shortcomings, the database of surface cover generated by the neural network classifier is a useful representation of the spatial distribution of exposed geological materials in the study area, with an overall agreement with ground truth of 87.7%. In contrast, the fraction images generated through unmixing are poor representations of ground truth for several key lithological classes. These results underscore both the considerable utility and marked limitations of Landsat TM data in the mapping of igneous and metamorphic lithologies.

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Section: Introductionmentioning

confidence: 99%

Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

Leverington

Moon

2012

Remote Sensing

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“…The challenges associated with mineralogical interpretation of such maps using available data and algorithms, and the difficulty of extracting useful geological information for temporal contamination monitoring from hyperspectral data, and field and laboratory spectra, are previously discussed in depth (Riaza et al, 2011b). Spectral behaviour trends extracted from the images, and in the laboratory from geological evaluations, provide reliable indicators for monitoring contamination from mine wastes in river sediments.…”

Section: Validation: Challenges On the Geological Interpretation Of Rmentioning

confidence: 99%

Monitoring of River Contamination Derived From Acid Mine Drainage Using Airborne Imaging Spectroscopy (HyMap Data, South‐West Spain)

Buzzi

Riaza

García‐Meléndez

et al. 2014

River Research & Apps

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Imaging spectroscopy is used in this work as an essential mapping tool to monitor changes in contaminated river sediments. Multidate hyperspectral image data (HyMap) are utilized to identify spatial mineral patterns, to detect temporal changes in mineralogy and to link these changes with geochemical processes and short‐term climate characteristics. River sediments contaminated by acid mine drainage are covered by crusts with variably hydrated iron sulphate. The mineralogy of the crusts and the grain size of the underlying fluvial sediments overlap. The spectra used to build up maps from HyMap data are diagnosed mineralogically with archive spectral libraries from pyrite oxidation minerals from well‐known sequences of minerals. The maps compiled from hyperspectral imagery display generalized oxidation shown by the coatings over river sediments following warm and dry periods with low water level. After the wet periods, the area covered by oxidized mineralogical phases recedes in favour of hydrated sulphate. The iteration of image processing algorithms and the mineralogical and potential contamination in a geological context are described. Change detection of the mineral crusts on the river sediments by mapping using hyperspectral remote sensing data may thus enable a quantitative and qualitative environmental evaluation by the regulators. Copyright © 2014 John Wiley & Sons, Ltd.

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“…HSI has many applications e.g. in geology, mineralogy, agriculture and steel industry including automated detection of metal content (Antonucci et al 2012;Gutierrez et al 2010;Riaza et al 2011). In this study, we attempt to apply -to our knowledge for the first time -HSI in detection of metal contamination in animals, more specifically in aquatic insects.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral Imaging of Macroinvertebrates—a Pilot Study for Detecting Metal Contamination in Aquatic Ecosystems

Salmelin

Pölönen

Puupponen

et al. 2018

Water Air Soil Pollut

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The applicability of spectral analysis in detection of freshwater metal contamination was assessed by developing and testing a novel hyperspectral imaging (HSI) application for aquatic insect larvae (Trichoptera: Hydropsychidae). Larvae were first exposed to four different cadmium (Cd) concentrations: 0, 1, 10 and 100 μg L⁻ 1 for 96 h. Individual larvae were then preserved in ethanol, inspected with microscopy for the number of anomalies in larval gills, and imaged by hyperspectral camera operating with wavebands between 500 and 850 nm. Three additional larvae from each exposure were analyzed for tissue Cd concentration. Although the larval tissue Cd concentrations correlated positively with actual water concentrations, the toxicity response of larvae i.e. frequency of gill abnormalities did not differ among the Cd concentrations. In contrast, hyperspectral imaging data indicated some concentration-response relationship of larval spectral properties to the Cd exposure, but it was too weak for reliable automatic distinction between exposed and unexposed larvae. In this pilot study a workflow for data processing for a novel application of hyperspectral imaging was developed. Based on the results of this preliminary study, the workflow in the imaging process will be optimized and its potential for detecting metal contamination of aquatic environments reassessed.

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Monitoring the Extent of Contamination from Acid Mine Drainage in the Iberian Pyrite Belt (SW Spain) Using Hyperspectral Imagery

Cited by 32 publications

References 21 publications

Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

Monitoring of River Contamination Derived From Acid Mine Drainage Using Airborne Imaging Spectroscopy (HyMap Data, South‐West Spain)

Hyperspectral Imaging of Macroinvertebrates—a Pilot Study for Detecting Metal Contamination in Aquatic Ecosystems

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