GMES4Mining: GMES-based Geoservices for Mining to Support Prospection and Exploration and the Integrated Monitoring for Environmental Protection and Operational Security

Millán, Virginia Elena García; Müterthies, Andreas; Pakzad, Kian; Teuwsen, Sebastian; Benecke, Norbert; Zimmermann, Karsten; Kateloe, Heinz-Jürgen; Preuße, Axel; Helle, Kristina Barbara; Knoth, Christian

doi:10.1007/s00501-013-0220-2

Cited by 5 publications

(16 citation statements)

References 3 publications

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“…Hence, Kirchheller Heide was chosen to study potential occurrence of subsidence, inundation, and vegetation degradation caused by mining activities [8]. GMES4Mining team and EU-project MINEO have monitored the wetland and vegetation dynamics in Kircheller Heide until 2012 [1][2][3]8]. These monitoring programs have detected incidences and passive impacts of surface flooding and subsidence using ground monitoring and air-borne hyperspectral images [3].…”

Section: Study Areamentioning

confidence: 99%

“…Moreover, 88.9% of production area was not properly backfilled when it was reclaimed during the 1990s [1,8]. Improper backfilling often leads to surface and sub-surface level depressions, while the magnitude of depressions depends on the length of long walls and the dip and width of the mined area [1][2][3][4]8]. Usually, such depressions and surface movements start six months after reclamation and gradually result into subsidence, surface area inundation, and vegetation degradation [3].…”

Section: Study Areamentioning

confidence: 99%

“…Improper backfilling often leads to surface and sub-surface level depressions, while the magnitude of depressions depends on the length of long walls and the dip and width of the mined area [1][2][3][4]8]. Usually, such depressions and surface movements start six months after reclamation and gradually result into subsidence, surface area inundation, and vegetation degradation [3]. Hence, Kirchheller Heide was chosen to study potential occurrence of subsidence, inundation, and vegetation degradation caused by mining activities [8].…”

Section: Study Areamentioning

confidence: 99%

“…GMES4Mining team and EU-project MINEO have monitored the wetland and vegetation dynamics in Kircheller Heide until 2012 [1][2][3]8]. These monitoring programs have detected incidences and passive impacts of surface flooding and subsidence using ground monitoring and air-borne hyperspectral images [3]. However, this monitoring was tedious, lengthy, and stopped after October 2012, largely because hyperspectral sensors could not cover the area in a continuous mode, i.e., monotemporal, and hence, continuous monitoring was impossible [8,[28][29][30][31].…”

Section: Study Areamentioning

confidence: 99%

“…These changes may constitute an increase in the groundwater table, and thus a slow sinking of subsurface soils and an unexpected collapse, i.e., subsidence [2]. The extraction processes and machines used to access mine galleries may produce irreversible damage in soil cohesion and eventually compress soil substrates [3,4]. Consequently, groundwater may intrude the surface level, form new waterbodies, and cause inundation.…”

Section: Introductionmentioning

confidence: 99%

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A Remote Sensing Approach to Environmental Monitoring in a Reclaimed Mine Area

Padmanaban

Bhowmik

Cabral

2017

IJGI

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Abstract:Mining for resources extraction may lead to geological and associated environmental changes due to ground movements, collision with mining cavities, and deformation of aquifers. Geological changes may continue in a reclaimed mine area, and the deformed aquifers may entail a breakdown of substrates and an increase in ground water tables, which may cause surface area inundation. Consequently, a reclaimed mine area may experience surface area collapse, i.e., subsidence, and degradation of vegetation productivity. Thus, monitoring short-term landscape dynamics in a reclaimed mine area may provide important information on the long-term geological and environmental impacts of mining activities. We studied landscape dynamics in Kirchheller Heide, Germany, which experienced extensive soil movement due to longwall mining without stowing, using Landsat imageries between 2013 and 2016. A Random Forest image classification technique was applied to analyze land-use and landcover dynamics, and the growth of wetland areas was assessed using a Spectral Mixture Analysis (SMA). We also analyzed the changes in vegetation productivity using a Normalized Difference Vegetation Index (NDVI). We observed a 19.9% growth of wetland area within four years, with 87.2% growth in the coverage of two major waterbodies in the reclaimed mine area. NDVI values indicate that the productivity of 66.5% of vegetation of the Kirchheller Heide was degraded due to changes in ground water tables and surface flooding. Our results inform environmental management and mining reclamation authorities about the subsidence spots and priority mitigation areas from land surface and vegetation degradation in Kirchheller Heide.

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Section: Study Areamentioning

confidence: 99%