Time series analysis of vegetation dynamics and burn scar mapping at Smoky Hill Air National Guard Range, Kansas using moderate resolution satellite imagery

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dc.contributor.author Williams, Danielle M.
dc.date.accessioned 2016-11-01T20:24:33Z
dc.date.available 2016-11-01T20:24:33Z
dc.date.issued 2016-12-01 en_US
dc.identifier.uri http://hdl.handle.net/2097/34462
dc.description.abstract Military installations are important assets for the proper training of armed forces. To ensure the continued viability of training lands, management practices need to be implemented to sustain the necessary environmental conditions for safe and effective training. For this study two analyses were done, a contemporary burn history and a time series analysis. The study area is Smoky Hill Air National Guard Range (ANGR), an Impact Area (within the range) and a non-military Comparison Site. Landsat 5 TM / 7 ETM+ imagery was used to create an 11 year composite burn history image. NDVI values were derived from MODIS imagery for the time series analysis using the statistical package BFAST. Results from both studies were combined to make conclusions about training impacts at Smoky Hill ANGR and determine if BFAST is a viable environmental management tool. Based on this study the training within Smoky Hill ANGR does not seem to be having a negative effect on the overall vegetation condition. It was also discovered that BFAST was able to accurately detect known vegetation disturbances. BFAST is a viable environmental management tool if the limitations are understood. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Remote Sensing en_US
dc.subject Military Lands
dc.subject BFAST
dc.title Time series analysis of vegetation dynamics and burn scar mapping at Smoky Hill Air National Guard Range, Kansas using moderate resolution satellite imagery en_US
dc.type Thesis en_US
dc.description.degree Master of Arts en_US
dc.description.level Masters en_US
dc.description.department Department of Geography en_US
dc.description.advisor J. M. Shawn Hutchinson en_US
dc.date.published 2016 en_US
dc.date.graduationmonth December en_US


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