Assessing land cover change resulting from large surface mining development |
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| Institution: | 1. Natural Resources Canada, Earth Sciences Sector, Canada Centre for Remote Sensing, 588 Booth Street, Ottawa, Ont., Canada K1A 0Y7;2. Départment de génie des mines de la métallurgie et dés materiaux, Université Laval Québec, Canada;3. Department of Geography, University Toronto, Canada;1. Bharti School of Engineering, Laurentian University, Sudbury P3E 2C6, Canada;2. Mining Department, Snowden Mining Industry Consultants, Perth, WA 6004, Australia;3. School of Mining and Petroleum Engineering, University of Alberta, Edmonton T6G 2R3, Canada;1. Department of Civil Engineering, College of Engineering, KNUST, Kumasi-Ghana/ Regional Water and Environmental Sanitation Centre, Kumasi (RWESCK), KNUST, Kumasi, Ghana;2. Ankobra River Basin Office, Water Resources Commission, Tarkwa, Ghana;1. Regional Water and Land Resources, Sustainable Minerals Institute, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia;2. Centre for Mined Land Rehabilitation, Sustainable Minerals Institute, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia;1. Centre for Exploration Targeting, School of Earth Sciences, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia;2. Ministry of Education Key Laboratory for Earth System Modelling, Department of Earth System Science, Tsinghua University, Beijing 100084, China;3. Environmental Department, Alcoa of Australia, PO Box 172, Pinjarra, WA 6208, Australia |
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| Abstract: | A remote sensing based land cover change assessment methodology is presented and applied to a case study of the Oil Sands Mining Development in Athabasca, Alta., Canada. The primary impact was assessed using an information extraction method applied to two LANDSAT scenes. The analysis based on derived land cover maps shows a decrease of natural vegetation in the study area (715,094 ha) for 2001 approximately ?8.64% relative to 1992. Secondary assessment based on a key resources indicator (KRI), calculated using normalized difference vegetation index (NDVI measurements acquired by NOAA–AVHRR satellites), air temperature and global radiation was performed for a time period from 1990 to 2002. KRI trend analysis indicates a slightly decreasing trend in vegetation greenness in close proximity to the mining development. A good agreement between the time series of inter-annual variations in NDVI and air temperature is observed increasing the confidence of NDVI as an indicator for assessing vegetation productivity and its sensitivity to changes in local conditions. |
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| Keywords: | Remote sensing Land cover Environmental impact assessment Surface mining |
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