20180222 10380500 1.0 TRUE The object of this analysis was to quantify the impact of Mountain Top Removal (MTR) mining practices in Group 6s’s study area. To begin this process we had to compile the individual Landsat images in order to have a unified image within the study area to perform an unsupervised classification. After 50 unclassified classes were produced, we manually renamed each class as either being in an MTR area or not. Reclassification of the image then produced a raster with two distinct classes. In order to acquire an area calculation, we needed to convert the raster to a polygon so acreage could be computed. After the polygon was produced, select areas were removed from the layer. These areas included buffers around roads and streams (which have similar spectral characteristics to MTR zones) and areas outside of mountain ridges zones (blasting only occurs on the mountain ridges so this is a search requirement). The analysis showed that there was 12,254 acres of MTR area in this Group 6 subset. Accuracy was assessed at 86.7 percent by generating random points and validating their accuracy by visual comparison to the Landsat imagery. The 2010 MTR acreage impacted was an increase of over 7,300 acres from the 2005 MTR area. MTR coal mining Appalachian Mountains Hydrology Mountain Top Removal Mining effects on the Central Appalachian Mountains SkyTruth, UWF For internal use only. Do not distribute. /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKQkAEk4A6k0kkixLuc4XOM44H19Kr3RjnsyquGR2VGKt1BYAjP0NU o3aE3YtUVFbuzwIX/wBYBhx6N3qWk1Z2GncKKKp3FvcC4Wa0kVCxIlWTJVuMA49RjtjNEUm7Nibs XKKrW92ssrwOCs8f3lwcEeoPft+dWaGmnZgmnsFFFFIYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFFFFABWdFF5NlMC5cJPvZyBkgMCTwBk8Ht14rRqrawEWIjnUbpNzSKOMFiSR+uKuLsvuIkr sle3ikbeUAf++vDfmOaabSLH7vdEfWNivPrjofxzUbzzW0sMcimYStsDIuCPdu2P84qxNKsETSOe FGfr7D3o95Wsx+6yOGGaKTm5aWPHSRRkHtgjH65qeqgvgjsLmJ4BuwrtypHGMnoOePw9xVulJPdh FroVr7IgWRYy7ROr/L1AB+bHvtyPxqzRRSvpYdtbhRRRSGFFFFABRRRQAUUUUAFFFFABRRRQAUUU UAFFFFABUE9wYpEUISpIDMeAMkKMe+T+nuKnqOeMzW8kYbaWUgN/dPY042vqJ3toSUVDFOGWTzAE aI7X5yAcA8H6EVNQ01uCdxskaTIUkRXU9QwyKof2fAl9ExDu5jIEjMS4xjAB6gYJ6cc881o1Tnnj /tC2gLc5YjAJ+YLwCeg4LHn0FXTctUiZpbskVmt5Akjs8bn5XYfdPGFOP0NVJilrdeQk6WsMitKz LtUoRgdxtwevPdT15xav8fZG3NtXcuWBwQNw6HsaauDqc6uhG6FACfusAWz/AOhf5zVRenMKS1sW IVVIUCOXXHDM24n3z3p9NjjSJdsahVznA6CnVk9y1sFFFFIYUUUUAFFFFABRRRQAUUUUAFFFFABR RRQAUUUUARXE4to/MZHZAfmK4+Uep9vpUjEKpYnAAyTQyh1KsMqRgg96hvPmtniAy0oMaj1JB/8A r1Ss7ITutSKC3SWRrqWL5nYMgYk7RgAHHQHjt+dXKKKUpNglYKoXdz88ckSq6QSbpXJwEHKn6kAk +2Kv1HbwR20CQxLtRBgCnFpasUk3ognhFxbyQscB1K59M1nG0luZp1a7kEsLr5UgAG0fKxHy4ypx jB7d61EVURUQBVUYAHYUtOM3HYJQUtyjHPdQ3giu/L8p0ASVBgF84IOTxnIwOe/NXqQqrYyAcHIy OhpaUmnrYaVgoooqRhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABUN3I8VpNJGMuqEj64qamSxrNE8 bqrK4IIYZB+opxtfUT20KMTahJDujZcOodDPHtK8H5WAPXOOeKme6kXG6ylGSAuWTrnvzx/9ek01 8WwtWK+dahYpApHZRg47ZGDSyb5dSiQBfLhXzDk87jlRj143Z+orV/E00ZrZO5ZjcugZkZD/AHWx /SnUgZSxUEEjqM9KWsWahRTZGKIWClsdh1xSqwZQykEEZBHeiwC0duaiknSI7TuZyMhEGT/9b6ni mlp5SFWMwr3ZiC34AZH4n8jVKLFcje/RLjy2ilEYJDzMu1FwAepxkcgZGefocTRXEczsqbjtAOSp AOemM9fqKzytrd2s6lZ5R86NI0e9kIyDgMDk5B4APbirlvBErmcRsJ3HzFzlvcfT6cVN10NZQstd CzRRRQZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRVS5Yvcx2xkEaSKSPV8EZX24Pb9McuKuxN2 HWoImuxhgPO4BP8AsL0/HJov7b7TaSKoxNsYRuDtKk+hHI7VPHFHEu2NFQZzhRinVXNaXMhculmU JYYbK5t541CBj5L4wAQeh+ucVfqOaITRFCccgg4zgg5H6iiFpWQmWMIwJGA2cj1/GiT5ldglZ2Gf aA7FYF8xgcE9FB+v+GaYlvcIWIuVAb+ER8L7jJ6/p7dc2WYKpZiAAMkntUclxFGqsWLB+V2KWJHr gdqE3tFA0urHRxJECFHJOSe5PqaJJUiALsBnoO5+lRR31rLEZI5lZQ204659Mdc1BdJcXsa+SXiR Tu2sADL6Kcg7RnB6ZpOMupUHFtIgbV9zJ/oF2rKokIYquMjG04Y5JOQB0JHBxg1oRyO87ZjdUCjB YAc5Oe+fTt/9alp8L2VrGbyYRE5PlNKGCsc5+fA3evTrknPWrsEgcPtSUKG4Z8/Nnk4zzj/I4qIx la7NqsoJ8sUTUUUUzEKKKKACiiigAooooAKKKKACiiigAooooAKqXMUqXC3URztG10xksue3v147 8emDbopxdmJq5WjvYpZAgEgJOFLRkAnnIz6jBqzUVxAtxFsZnUZByjYPB9aS1Eyw7Z+XUkbs53Ds fy9fSm1Fq6Er3syaiiqtysjzopgMtuFJZQVwWyMcE9ufzFKKuxt2Q5cXLbzzEp+QdmP973Hp+fpT 47aCKRpI4kR2GGZVwT3/AK1BKL2Vh5TLAMZBYBsfUZ5+gI69alEEne5cg/e4A/L0H69Oat+pK9BZ RBDm5kRQyjG8Jlsegxz36VEJZbviEPDED80joVY+wBHHbk/l6Sx2sUZBG9ivTzJGfH5k81NSukOz ZFFbQwnMcYDYwXPLH6k8n8alooqW29ykrbBRRRSAKKKKACiiigAooooAKKKKACiiigAooooAKKKK ACiiigCpfIZ1it97KkzlZNo6rtJxyPpVuoI4T5hll+Z8kJn+EZOMenFT1UnokSl1CiiipKCiiigA ooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACi iigAooooAKKKKACiiigD/9k=