 The study presents a mapping methodology for quantifying pre- and post-disturbance LULC types with annual landsat best available pixel multispectral data from 2005 to 2013, resulting in annual LULC and land disturbance maps with an accuracy of 78% and 87% respectively. The highest rate of vegetation loss was observed in coniferous forest compared to other vegetation types. 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, and approximately 44% of oil and gas disturbances from 2005 to 2013 showed evidence of vegetation recovery. The study suggests that geospatial data related to other factors such as wildfire, logging activities, insect defoliation, etc. can be integrated in the future to quantify other causes of land disturbances. This article was offered by Suber Choudhury, Dennis K. Chow, Todd C. Shipman and others. We are article.tv, links in the description below.