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. Issue 5 (3rd September 2017)

• Record Type: Journal Article
• Authors: Chowdhury, Subir; Chao, Dennis K.; Shipman, Todd C.; Wulder, Michael A.
• Is Part Of: GIScience & remote sensing. Volume 54:Issue 5(2017)
• Page Start: 700
• Page End: 720
• Publication Date: 2017-09-03
• Subjects: change detection -- classification -- land disturbance -- vegetation loss -- vegetation recovery -- West-Central Alberta; Geodesy -- Periodicals; Cartography -- Periodicals; Aerial photogrammetry -- Periodicals; Remote sensing -- Periodicals; 526.05
• DOI: 10.1080/15481603.2017.1317453
• Languages: English
• ISSNs: 1548-1603

Abstract

Abstract : 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 (178 km 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.