Land-Use Mapping in a Mixed Urban-Agricultural Arid Landscape Using Object-Based Image Analysis: A Case Study from Maricopa, Arizona

Land-Use Mapping in a Mixed Urban-Agricultural Arid Landscape Using Object-Based Image Analysis: A Case Study from Maricopa, Arizona

Blog Article

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 Lotion 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 FETs 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.