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

Buzzi, J.; Riaza, A.; García‐Meléndez, Eduardo; Carrère, V.; Holzwarth, Stefanie

doi:10.1002/rra.2849

Cited by 8 publications

(10 citation statements)

References 27 publications

(53 reference statements)

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“…A pH value around 3 favors the hydrolysis and precipitation of Fe 3+ ions, which takes place usually in the form of very fine-grained schwertmannite (with traces of jarosite) [17]. These minerals are mineralogically meta-stable and usually are transformed into goethite or hematite [47].…”

Section: Hydrogeochemical Mapsmentioning

confidence: 99%

UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters

et al. 2021

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The exposure of metal sulfides to air or water, either produced naturally or due to mining activities, can result in environmentally damaging acid mine drainage (AMD). This needs to be accurately monitored and remediated. In this study, we apply high-resolution unmanned aerial system (UAS)-based hyperspectral mapping tools to provide a useful, fast, and non-invasive method for the monitoring aspect. Specifically, we propose a machine learning framework to integrate visible to near-infrared (VNIR) hyperspectral data with physicochemical field data from water and sediments, together with laboratory analyses to precisely map the extent of acid mine drainage in the Tintillo River (Spain). This river collects the drainage from the western part of the Rio Tinto massive sulfide deposit and discharges large quantities of acidic water with significant amounts of dissolved metals (Fe, Al, Cu, Zn, amongst others) into the Odiel River. At the confluence of these rivers, different geochemical and mineralogical processes occur due to the interaction of very acidic water (pH 2.5–3.0) with neutral water (pH 7.0–8.0). This complexity makes the area an ideal test site for the application of hyperspectral mapping to characterize both rivers and better evaluate contaminated water bodies with remote sensing imagery. Our approach makes use of a supervised random forest (RF) regression for the extended mapping of water properties, using the samples collected in the field as ground-truth and training data. The resulting maps successfully estimate the concentration of dissolved metals and related physicochemical properties in water, and trace associated iron species (e.g., jarosite, goethite) within sediments. These results highlight the capabilities of UAS-based hyperspectral data to monitor water bodies in mining environments, by mapping their hydrogeochemical properties, using few field samples. Hence, we have demonstrated that our workflow allows the rapid discrimination and mapping of AMD contamination in water, providing an essential basis for monitoring and subsequent remediation.

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Section: Hydrogeochemical Mapsmentioning

confidence: 99%

UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters

et al. 2021

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“…Following the Leadville work, many other similar studies were conducted demonstrating the use of imaging spectrometers for mapping secondary minerals related to acid drainage (Kruse et al 1989;Fenstermaker and Miller 1994;King et al 1995;Peters et al 1995;Farrand 1997;Farrand and Harsanyi 1997;Lopez-Pamo et al 1999;Rockwell et al 2005;Pearson et al 1997;Kemper and Sommer 2004 and many others). Of particular interest, are the studies conducted by Zabcic et al (2014) and Buzzi et al (2016) who carried out the mapping of efflorescent salts, many of which have spectrally diagnostic features. For example, malenterite has a broad double crystal field transition absorption feature at 892 and 1150 nm related to ferrous iron and a smaller absorption feature at 434 nm related to Fe 3+ -O charge transfer feature (Crowley et al 2003).…”

Section: Acid Drainagementioning

confidence: 99%

“…IS has unique contributions to make via its ability to provide quantitative diagnostic information to better inform assessments and monitor hazards and their related threats. In the last two decades, with the increasing availability of IS particularly in the visible (VIS) to shortwave infrared (SWIR) (400-2500 nm) range mainly from airborne platforms, some convincing studies have demonstrated its remarkable effectiveness (for acid drainage see Buzzi et al 2016;Davies and Calvin 2017;Farrand 1997;Farrand and Harsanyi 1997;Fenstermaker and Miller 1994;Kemper and Sommer 2004;King et al 1995;Kopačková 2014;Kruse et al 1989;Lopez-Pamo et al 1999;Ong and Cudahy 2014;Pearson et al 1997;Peters et al 1995;Shi et al 2014a, b;Swayze et al 1996Swayze et al , 2000Rockwell et al 2005;Zabcic et al 2014; for fugitive dust see Clark et al 2006;Chudnovsky et al 2009Chudnovsky et al , 2011Ong et al 2003aOng et al , b, c, 2008Ong 2013;Pascucci et al 2012; for hydrocarbon contamination see Beland et al 2016;Clark et al 2010;Khanna et al 2013;Kokaly et al 2013;Peterson et al 2015; for atmospheric emissions see Bradley et al 2011;Dennison et al 2013;Deschamps et al 2013;Franke et al 2009;Frankenberg et al 2016;Frassy et al 2014;Krautwu...…”

Section: Introductionmentioning

confidence: 99%

Imaging Spectroscopy for the Detection, Assessment and Monitoring of Natural and Anthropogenic Hazards

et al. 2019

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Natural and anthropogenic hazards have the potential to impact all aspects of society including its economy and the environment. Diagnostic data to inform decision-making are critical for hazard management whether for emergency response, routine monitoring or assessments of potential risks. Imaging spectroscopy (IS) has unique contributions to make via the ability to provide some key quantitative diagnostic information. In this paper, we examine a selection of key case histories representing the state of the art to gain an insight into the achievements and perspectives in the use of visible to shortwave infrared IS for the detection, assessment and monitoring of a selection of significant natural and anthropogenic hazards. The selected key case studies examined provide compelling evidence for the use of the IS technology and its ability to contribute diagnostic information currently unattainable from operational spaceborne Earth observation systems. User requirements for the applications were also evaluated. The evaluation showed that the projected launch of spaceborne IS sensors in the near-, mid and long term future, together with the increasing availability, quality and moderate cost of off the shelf sensors, the possibilities to couple unmanned autonomous systems with miniaturized sensors, should be able to meet these requirements. The challenges and opportunities for the scientific community in the future when such data become available will then be ensuring consistency between data from different sensors, developing techniques to efficiently handle, process, integrate and deliver the large volumes of data, and most importantly translating the data to information that meets specific needs of the user community in a form that can be digested/understood by them. The latter is especially important to transforming the technology from a scientific to an operational tool. Additionally, the information must be independently validated using current trusted practices and uncertainties quantified before IS derived measurement can be integrated into operational monitoring services.

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“…In view of the fact that the actual spectral data are easily affected by the environment, the existing spectral database is not sound enough, and the ground truth measurement in remote and harsh natural conditions is almost impossible to achieve, making the acquisition of a priori spectral information becomes the difficulty of the target supervised classification algorithm. With the continuous advancement of remote sensing technology, its effect on mineral remote sensing monitoring has become increasingly significant 1,2 …”

Section: Introductionmentioning

confidence: 99%

Internet of Things technology in mineral remote sensing monitoring

Liu

Dhakal

2020

Circuit Theory & Apps

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At present, the rapid development of the national economy consumes a lot of mineral resources, but the national resource extraction efficiency is low. The traditional prospecting methods consume time, money, and personnel, which cannot meet the national demand for resources in a short time. Therefore, technological innovation is needed to reduce consumption in all aspects. With the continuous development of Internet of Things technology, its application is also more extensive. This paper studies the application of Internet of Things technology in mineral remote sensing monitoring. First of all, this research mainly uses the wireless communication technology in the Internet of Things to achieve data transmission and sharing in a short distance and, second, based on the remote sensing monitoring results of the mine environment to comprehensively understand the mining area and find the suitable mining mineral resources at the fastest speed; finally, the dynamic frame time slot ALOHA algorithm is used to estimate the existing data to ensure the availability of the data. The experimental data show that vector point encryption is performed on the center line of the mine at intervals of 10, 15, 20, 30, and 50 m, respectively, and the dynamic frame slot algorithm is used to calculate the appropriate mine mining curve radius. The experimental results show that the application of Internet of Things technology in mineral remote sensing monitoring can accelerate the mining of mineral resources.

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

Cited by 8 publications

References 27 publications

UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters

UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters

Imaging Spectroscopy for the Detection, Assessment and Monitoring of Natural and Anthropogenic Hazards

Internet of Things technology in mineral remote sensing monitoring

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