land-use mapping in a mixed urban-agricultural arid landscape using object-based image analysis: a case study from maricopa, arizona

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ID: 174643
2014
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Abstract
Land-use mapping is critical for global change research. In Central Arizona, U.S.A., the spatial distribution of land use is important for sustainable land management decisions. The objective of this study was to create a land-use map that serves as a model for the city of Maricopa, an expanding urban region in the Sun Corridor of Arizona. We use object-based image analysis to map six land-use types from ASTER imagery, and then compare this with two per-pixel classifications. Our results show that a single segmentation, combined with intermediary classifications and merging, morphing, and growing image-objects, can lead to an accurate land-use map that is capable of utilizing both spatial and spectral information. We also employ a moving-window diversity assessment to help with analysis and improve post-classification modifications.
Reference Key
galletti2014remoteland-use Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Christopher S. Galletti;Soe W. Myint
Journal Journal of pharmacological sciences
Year 2014
DOI
10.3390/rs6076089
URL
http://www.mdpi.com/2072-4292/6/7/6089
Keywords
Segmentation urban agriculture land use dryland arid object-based image analysis (obia)

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