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Teledetekcja w górnictwie: krótki przegląd i przykłady
Języki publikacji
Abstrakty
Remote sensing (RS) has become an essential tool in the mining industry, offering efficient methods for data collection, processing and analysis. This paper provides a brief overview of RS applications in mining, focusing on techniques such as spectroscopy, Synthetic Aperture Radar (SAR), Light Detection and Ranging (LiDAR), and thermal imaging. These technologies support activities including mineral exploration, mine planning, operational monitoring, environmental assessment, and reclamation. RS enhances safety and risk management through techniques like InSAR and UAV photogrammetry, while also facilitating the management of mining waste and monitoring environmental impacts on vegetation, soil, water, and air quality. The integration of RS with Geographic Information Systems (GIS) and machine learning (ML) enables advanced predictive modeling and decision-making, driving sustainability and efficiency in mining operations. The paper highlights chosen case studies and emerging trends, underscoring the transformative potential of RS in the mining industry.
Teledetekcja stała się kluczowym narzędziem w branży górniczej, oferując efektywne metody zbierania i przetwarzania i analizy danych. Niniejszy artykuł przedstawia krótki przegląd zastosowań teledetekcji w górnictwie, koncentrując się na technikach takich jak spektroskopia, dane radarowe (SAR), systemy LiDAR i dane termalne. Technologie te wspierają działania związane z eksploracją złóż, projektowaniem kopalń, monitoringiem operacyjnym, oceną środowiskową i rekultywacją. Teledetekcja poprawia bezpieczeństwo i zarządzanie ryzykiem dzięki technikom takim jak InSAR i fotogrametria, a także umożliwia lepsze zarządzanie odpadami górniczymi oraz monitorowanie wpływu działalności górniczej na roślinność, glebę, wodę i jakość powietrza. Integracja teledetekcji z systemami informacji geograficznej (GIS) i uczeniem maszynowym umożliwia zaawansowane modelowanie predykcyjne i podejmowanie decyzji, przyczyniając się do zrównoważonego rozwoju i efektywności operacji wydobywczych. Artykuł przytacza wybrane studia przypadków oraz nowe trendy, pokazując transformacyjny potencjał teledetekcji w przemyśle wydobywczym.
Czasopismo
Rocznik
Tom
Strony
4--14
Opis fizyczny
Bibliogr. 35 poz.
Twórcy
autor
- „Poltegor-Instytut” Instytut Górnictwa Odkrywkowego, Wroclaw
autor
- „Poltegor-Instytut” Instytut Górnictwa Odkrywkowego, Wroclaw
Bibliografia
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- [30] M. Sekandari, I. Masoumi, A. B. Pour, A. M. Muslim, O. Rahmani, M. Hashim, B. Zoheir, B. Pradhan, A. Misra, M. Aminpour, “Application of Landsat-8, Sentinel-2, ASTER and WorldView-3 Spectral Imagery for Exploration of Carbonate-Hosted Pb-Zn Deposits in the Central Iranian Terrane (CIT)” Remote Sensing, vol. 12, no. 8, p. 1239, Apr. 2020, doi: 10.3390/rs12081239
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- [32] L. Tian, X. Wu, Y. Tao, M. Li, C. Qian, L. Liao, W. Fu, “Review of Remote Sensing-Based Methods for Forest Aboveground Biomass Estimation: Progress, Challenges, and Prospects” Forests, vol. 14, no. 6, p. 1086, May 2023, doi: 10.3390/f14061086
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c98efde2-0385-4f7f-8b36-f7b813cd0a38
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