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Forest Sciences

Faculty Publications

2015

Change Detection

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Full-Text Articles in Life Sciences

Quantifying Land Cover Change Due To Petroleum Exploration And Production In The Haynesville Shale Region Using Remote Sensing, Daniel Unger, I-Kuai Hung, Kenneth W. Farrish, Darinda Dans Apr 2015

Quantifying Land Cover Change Due To Petroleum Exploration And Production In The Haynesville Shale Region Using Remote Sensing, Daniel Unger, I-Kuai Hung, Kenneth W. Farrish, Darinda Dans

Faculty Publications

The Haynesville Shale lies under areas of Louisiana and Texas and is one of the largest gas plays in the U.S. Encompassing approximately 2.9 million ha, this area has been subject to intensive exploration for oil and gas, while over 90% of it has traditionally been used for forestry and agriculture. In order to detect the landscape change in the past few decades, Landsat Thematic Mapper (TM) imagery for six years (1984, 1989, 1994, 2000, 2006, and 2011) was acquired. Unsupervised classifications were performed to classify each image into four cover types: agriculture, forest, well pad, and other. Change detection …