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Utilization of Landsat data to quantify land-use and land-cover changes related to oil and gas activities in West-Central Alberta from 2005 to 2013

机译:利用Landsat数据量化与2005年至2013年中西部艾伯塔省油气活动相关的土地利用和土地覆盖变化

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摘要

Land use and land cover (LULC) change detection associated with oil and gas activities plays an important role in effective sustainable management practices, compliance monitoring, and reclamation assessment. In this study, a mapping methodology is presented for quantifying pre- and post-disturbance LULC types with annual Landsat Best-Available-Pixel multispectral data from 2005 to 2013. Annual LULC and land disturbance maps were produced for one of the major conventional oil and gas production areas in West-Central Alberta with an accuracy of 78% and 87%, respectively. The highest rate of vegetation loss (178km(2)/year) was observed in coniferous forest compared to broadleaf forest, mixed forest, and native vegetation. Integration of ancillary oil and gas geospatial data with annual land disturbances indicated that less than 20% of the total land disturbances were attributable to oil and gas activities. In 2013, approximately 44% of oil and gas disturbances from 2005 to 2013 showed evidence of vegetation recovery. In the future, geospatial data related to wildfire, logging activities, insect defoliation, and other natural and anthropogenic factors can be integrated to quantify other causes of land disturbances.
机译:与油气活动相关的土地利用和土地覆被(LULC)变化检测在有效的可持续管理实践,合规性监测和填海评估中起着重要作用。在这项研究中,提出了一种映射方法,用于利用2005年至2013年的年度Landsat最佳可用像素多光谱数据对扰动前后的LULC类型进行量化。为主要的常规石油和天然气生产了年度LULC和土地扰动图。中西部艾伯塔省的天然气产区,准确率分别为78%和87%。与阔叶林,混交林和原生植被相比,针叶林的植被丧失率最高(178 km(2)/年)。将辅助油气地理空间数据与每年的土地扰动相结合表明,只有不到20%的土地扰动归因于油气活动。 2013年,从2005年至2013年,约有44%的油气扰动显示出植被恢复的迹象。将来,与野火,伐木活动,昆虫脱叶以及其他自然和人为因素有关的地理空间数据可以整合起来,以量化其他引起土地干扰的原因。

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