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Significant land-use changes in North Dakota have been reported and are widespread over the entire state. Such changing patterns may portend localized impairment to agricultural watersheds. In this study, Land-use Land-cover LULC change was modeled using geostatistics. The study area was within the Pipestem Creek watershed, a part of the Missouri Watershed James Subregion of North Dakota, USA. Landsat Thematic mapper images from the years 2007, 2011 and 2015 were used as preliminary data. LULC information for these datasets was acquired from the Global Land-cover facility and Landsat Program. Data analysis, spectral classification and post classification techniques were applied on the datasets. A transition matrix was derived using a Markov chain Monte Carlo MCMC model. This study demonstrates that the integration of satellite remote sensing, GIS and statistics may be an effective approach for analyzing the direction, rate, and spatial pattern of land-use change.

KEYWORDS

Markov Chain, LULC Change, Transition Probabilities

Cite this paper

Rozario, P. , Oduor, P. , Kotchman, L. and Kangas, M. 2017 Transition Modeling of Land-Use Dynamics in the Pipestem Creek, North Dakota, USA. Journal of Geoscience and Environment Protection, 5, 182-201. doi: 10.4236-gep.2017.53013.





Autor: Papia F. Rozario1*, Peter Oduor2, Larry Kotchman3, Michael Kangas4

Fuente: http://www.scirp.org/



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