hyperspectral for coal mining

Zhang et al. [33] used GF-5 hyperspectral data from an open-pit coal mining area to draw spatial distribution maps of the soil heavy metal contents of Zn, Ni, and Cu, with estimation R 2 values of ...

Use of hyperspectral imagery to detect affected vegetation and heavy metal polluted areas: a coal mining area, China. Xingchen Yang Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou, Jiangsu, ...

Monitoring Mining Induced Plant Alteration and Change Detection in a German Coal Mining Area using Airborne Hyperspectral Imagery Andreas Brunn The Central European Test Site is located in western Germany in the north of the Ruhr District, one of the most congested industrialized regions with about 7.5 million inhabitants.

Shao et al. (Shao et al., 2020) designe d a 91-channel hyperspectral lidar with an acousto-optic tunable filter (AOTF) as the spectral device. After collecting the spectra of four coal/rock ...

The potential of mining being guided by autonomous lithologic mapping using a hyperspectral sensor has been investigated both in the economic (Nageshwaraniyer et al., 2018) and technical (Job et al., 2017; Schneider et al., 2012; Schneider et al., 2011b) respects. Gaussian processes (GP) with squared exponential …

To examine the influence of coal dust from mining on vegetative growth, three typical plants from near an open-pit coalmine in an arid region were selected, and their spectral signals were determined. The present study was conducted near the Wucaiwan open-pit coalmine in the East Junggar Basin in Xi …

The mining and processing of mineral resources have shown no shortage of economic benefits. However, coal mining will disturb the soil layer, destroy vegetation and cause the soil to lose its utilization value [].These issues have posed a serious threat to the sustainable development of land resources and the ecological environment [].The area …

The intensive urban expansion in Mianzhu city and the mining of coal and phosphorite in the upstream areas resulted in a significant accumulation of heavy metals in local soils. The experimental site was selected at the Mianzhu city of Sichuan, China, major cropland for rapeseed, spanning from 103°54′E 30°09′N to 104°20′E, 30°09′-31 ...

The mining industry plays a significant role in economic growth and development. Coal is a viable renewable energy source with 185.175 billion deposits in Thar, which has not been deeply explored.

During the mining operation, it is a critical task in coal mines to significantly improve the safety by precision coal mining sorting and rock classification from different layers. It implies that a technique for rapidly and accurately classifying coal/rock in-site needs to be investigated and established, which is of significance for improving the coal …

This paper primarily focuses on identifying and mapping vegetation stress caused by the impact of coal mining using airborne hyperspectral image (AVIRIS-NG) at a fine scale level and is validated using spectroscopic field data. In this work, we have calculated and tested vegetation stress-affected narrow banded vegetation indices ...

1. Introduction. Vegetation healthy conditions and environmental degradation due to mining activities in India have become a severe global issue. Coal mining plays a vital role in socio-economic, but it also harms plants, the environment, and human life (Dai et al., 2014, Naidoo, 2015).In recent decades, continually climate change and increased …

By using hyperspectral technology and Enter-PLSR method, the study blank of soil available nitrogen in National Mine Park was filled. At the same time, the computation efficiency problem of PLSR ...

Results show that the GF technique not only improves the accuracy of range measurement but also optimizes the classification performance using the spectra collected by the HSL, and methods to improve the calibration-free classification accuracy preliminarily are discussed. During the mining operation, it is a critical task in coal mines to …

Hyperspectral PLSR modeling can effectively predict heavy metal content of soils in coal‐mining areas, and preprocessing spectral data is crucial for achieving high …

Coal mining has environmental impacts on surrounding areas, including heavy metal contamination of soil. This study explores the feasibility of using hyperspectral remote sensing to determine the heavy metal (Cr, Ni, Cu, Zn, Cd, Pb) content of soils in a coal-mining area in the city of Zoucheng, Shandong Province, China.

Leaf chlorophyll content is an important indicator of crop growth. In coal mine areas with high phreatic level, crop damage caused by coal mining subsidence will inevitably lead to changes in leaf chlorophyll content. Therefore, accurate estimation of the chlorophyll content of winter wheat in subsidence areas of coal mines with high phreatic …

Request PDF | Use of hyperspectral imagery to detect affected vegetation and heavy metal polluted areas: a coal mining area, China | Some indicators for evaluating heavy metal pollution have been ...

Multispectral imaging is already used in satellite, drone and aircraft-based systems in the hunt for new valuable mineral deposits on Earth, and it's also starting to be used in space! The next step is likely hyperspectral …

Hyperspectral analysis of soil organic matter in coal mining regions using wavelets, correlations, and partial least squares regression. By amplifying useful …

Rapid assessment of heavy metal (HM) pollution in mining areas is urgently required for further remediation. Here, hyperspectral technology was used to predict HM contents of multi-media environments (tailings, surrounding soils and agricultural soils) in a mining area. The correlation between hyperspectral data and HMs was explored, then …

Coal mining has led to increasingly serious land subsidence, and the reclamation of the subsided land has become a hot topic of concern for governments and scholars. Soil quality of reclaimed land is the key indicator to the evaluation of the reclamation effect; hence, rapid monitoring and evaluation of reclaimed land is of great …

In the present study, GF-5 hyperspectral satellite images, as well as in-situ sampling data, were carried out to estimate the concentrations of Zn, Ni, and Cu at an open cast coal mine, China. The entire workflow and methods concerning spectra processing, characteristic bands selecting, calibration model construction used in the current study ...

limited research into hyperspectral monitoring of SOM in coal mining regions, where serious soil deg-radation is typical. Among the most efficient methods in constructing reliable models in the hyperspectral remote sensing field, partial least squares regression (PLSR) has been the most frequently used for estimating SOM content. Nocita et al.

Hyperspectral analysis of soil organic matter in coal mining regions using wavelets, correlations, and partial least squares regression. January 2016. …

This scheme proves that satellite hyperspectral images can be used to directly estimate metal distributions, and the present study provides a scientific base for mapping heavy metal spatial distribution on a relatively large scale. ... receiver from a coal mine in northern China. Then, the metal contents were surveyed in a laboratory via a ...

Abstract. Hyperspectral estimation of soil organic matter (SOM) in coal mining regions is an important tool for enhancing fertilization in soil restoration programs. The correlation—partial least squares regression (PLSR) method effectively solves the information loss problem of …

Hyperspectral PLSR modeling can effectively predict heavy metal content of soils in coal-mining areas, and preprocessing spectral …

The objective of this manuscript is to present the potential of automated hyperspectral core scanners as a tool for coal characterisation for use in laboratory …

Hyperspectral remote sensing technology has good characteristics, e.g., high speed, macro, and high resolution, etc., and has gradually become a focus of research to determine heavy metal content in soil. ... Taking a mining area in Hunan, China as a test area, this study retrieved the chromium content in the soil using 12 combination models …

Retrieving soil heavy metals concentrations based on GaoFen-5 hyperspectral satellite image at an opencast coal mine, Inner Mongolia, China Environ Pollut. 2022 May 1:300:118981. doi: 10.1016/j ... The present study collected 110 topsoil samples from an Opencast Coal Mine of Ordos, Inner Mongolia, China. Then, the …

Hyperspectral technology is a promising alternative detection technology. Hyperspectral detection methods now have high precision and this technology provides a new approach to soil testing. ... Possibility of optimized indices for the assessment of heavy metal contents in soil around an open pit coal mine area. International Journal of …

As illustrated in Fig. 1, the spectral reflectance of wheat and rapeseed plants after treatment of Cu and Ni at seven levels is correlated negatively with the metal content, regardless of the plant species and the type of metal.Nevertheless, different metals have their own spectral peculiarity over different wavelengths. A higher Cd concentration is …

Commercially available hyperspectral drill core scanning systems in the Visible and Near-Infrared (VNIR), Short-Wave Infrared (SWIR) and Long-Wave Infrared (LWIR) regions, along with a handheld spectrometer for the Middle-Wave Infrared (MWIR) region, were used to characterise a rank suite of coal samples (0.45% to 1.76% Rr) with …