Analysis of mining terrain deformation based on public PSInSAR data. Norwegian iron ore mine case study

Research output: ThesisMaster's Thesis

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@mastersthesis{d122d4c05fcb43fc9432042679a6a924,
title = "Analysis of mining terrain deformation based on public PSInSAR data. Norwegian iron ore mine case study",
abstract = "The thesis described sublevel caving mining method and its associations with ground deformations. The literature review was conducted to explore different methods for analyzing land subsidence related to sublevel caving mining method. In order to gather data for analysis, land subsidence PSInSAR data from the Kvannevann iron mine in Norway were obtained from the insar.ngu.no website. Using Random Forest Regression method, the predicted ground subsidence in study area was calculated and the extent of continuous deformation zone was estimated. Finally, the applicability of public data for deformation monitoring purposes was evaluated.",
keywords = "Sublevel Caving, ground subsidence, Random Forest Regression, ground deformation monitoring, Sublevel Caving, Bodenabsenkung, Random Forest Regression, {\"U}berwachung der Bodenverformung",
author = "Malwina Joachimiak",
note = "no embargo",
year = "2023",
language = "English",
school = "Montanuniversitaet Leoben (000)",

}

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TY - THES

T1 - Analysis of mining terrain deformation based on public PSInSAR data. Norwegian iron ore mine case study

AU - Joachimiak, Malwina

N1 - no embargo

PY - 2023

Y1 - 2023

N2 - The thesis described sublevel caving mining method and its associations with ground deformations. The literature review was conducted to explore different methods for analyzing land subsidence related to sublevel caving mining method. In order to gather data for analysis, land subsidence PSInSAR data from the Kvannevann iron mine in Norway were obtained from the insar.ngu.no website. Using Random Forest Regression method, the predicted ground subsidence in study area was calculated and the extent of continuous deformation zone was estimated. Finally, the applicability of public data for deformation monitoring purposes was evaluated.

AB - The thesis described sublevel caving mining method and its associations with ground deformations. The literature review was conducted to explore different methods for analyzing land subsidence related to sublevel caving mining method. In order to gather data for analysis, land subsidence PSInSAR data from the Kvannevann iron mine in Norway were obtained from the insar.ngu.no website. Using Random Forest Regression method, the predicted ground subsidence in study area was calculated and the extent of continuous deformation zone was estimated. Finally, the applicability of public data for deformation monitoring purposes was evaluated.

KW - Sublevel Caving

KW - ground subsidence

KW - Random Forest Regression

KW - ground deformation monitoring

KW - Sublevel Caving

KW - Bodenabsenkung

KW - Random Forest Regression

KW - Überwachung der Bodenverformung

M3 - Master's Thesis

ER -