A quick and cost-effective method for monitoring deforestation of oil sands mining activities using synthetic aperture radar and multispectral real-time satellite data from Sentinel-1 and Sentinel-2

• Autorzy: Garcia-del-Real Jose , Alcaraz Manuel

Identyfikatory

DOI

10.46873/2300-3960.1403

• Języki publikacji: EN

Abstrakty

EN

Alberta’s oil sands mining operations rank among the largest human-made structures globally. Monitoring through the use of Synthetic Aperture Radar (SAR) and Multispectral satellite imaging is an indispensable strategy in attaining sustainable development and mitigating deforestation in the third-largest verified oil reserves worldwide. This paper introduces a novel approach for cost-effective and reliable monitoring of deforestation caused by oil sands mining, avoiding cumbersome methods. It focuses on observing forest/non-forest areas affected by Suncor Energy Company’s mining assets in Alberta, using a combination of SAR and Multispectral satellite remote sensing. Radar images from Sentinel-1B and Multispectral images from Sentinel-2A were analyzed with SNAP 8.0 and QGIS within a time series from June 2017 to June 2020, providing detailed information to monitor better the potential environmental impact of oil sands mining activities in Canada. The Sentinel satellite system offers several advantages, including near-global coverage, elevated spatial resolution for detecting small-scale deforestation instances, and the ability to track temporal and dynamic changes through time-series analysis. Additionally, the system’s open data policy promotes accessibility, collaboration among researchers, and innovative deforestation monitoring applications. The research results hold potential value for decision-makers, enhancing the efficiency and sustainable development of Suncor’s mining operations.

Słowa kluczowe

EN

oil sands; synthetic aperture radar; multispectral remote sensing; deforestation; sustainable development

PL

piaski roponośne; radar z syntetyczną aperturą; teledetekcja wielospektralna; wylesianie; zrównoważony rozwój

• Wydawca: Elsevier ; Główny Instytut Górnictwa
• Czasopismo: Journal of Sustainable Mining
• Rocznik: 2024
• Tom: Vol. 23, iss. 1
• Strony: 61--86
• Opis fizyczny: Bibliogr. 48 poz.

Twórcy

autor

Garcia-del-Real Jose

• Polytechnic University of Cartagena, Mining and Civil Engineering, Cartagena, Spain

• https://orcid.org/0000-0002-7812-7314

autor

Alcaraz Manuel

• Polytechnic University of Cartagena, Mining and Civil Engineering, Cartagena, Spain

• https://orcid.org/0000-0002-5982-8983

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