Long-Term Land Cover Data for the Lower Peninsula of Michigan, 2010–2050

Amin Tayyebi, Samuel J. Smidt and Bryan C. Pijanowski
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Amin Tayyebi: Monsanto, St. Louis, MO 63146, USA
Samuel J. Smidt: Environmental Geoscience, Michigan State University, East Lansing, MI 48824, USA
Bryan C. Pijanowski: Forestry and Natural Resources Department, Purdue University, West Lafayette, IN 47907, USA

Data, 2017, vol. 2, issue 2, 1-8

Abstract: Land cover data are often used to examine the impacts of landscape alterations on the environment from the local to global scale. Although various agencies produce land cover data at various spatial scales, data are still limited at the regional scale over extended timescales. This is a critical data gap since decision-makers often use future and long-term land cover maps to develop effective policies for sustainable environmental systems. As a result, land change science incorporates common data mining tools to create future land cover maps that extend over long timescales. This study applied one of the well-known land cover change models, called Land Transformation Model (LTM), to produce urbanization maps for the Lower Peninsula of Michigan in United States from 2010 to 2050 with five year intervals. Long-term urbanization data in the Lower Peninsula of Michigan can be used in various environmental studies such as assessing the impact of future urbanization on climate change, water quality, food security and biodiversity.

Keywords: land cover; data mining, urbanization; Lower Peninsula of Michigan; long-term; land transformation model (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2017
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