Object-based land-cover classification for metropolitan Phoenix, Arizona, using aerial photography

Xiaoxiao Li, Soe Myint, Yujia Zhang, Chritopher Galletti, Xiaoxiang Zhang, Billie Turner

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

Detailed land-cover mapping is essential for a range of research issues addressed by the sustainability and land system sciences and planning. This study uses an object-based approach to create a 1 m land-cover classification map of the expansive Phoenix metropolitan area through the use of high spatial resolution aerial photography from National Agricultural Imagery Program. It employs an expert knowledge decision rule set and incorporates the cadastral GIS vector layer as auxiliary data. The classification rule was established on a hierarchical image object network, and the properties of parcels in the vector layer were used to establish land cover types. Image segmentations were initially utilized to separate the aerial photos into parcel sized objects, and were further used for detailed land type identification within the parcels. Characteristics of image objects from contextual and geometrical aspects were used in the decision rule set to reduce the spectral limitation of the four-band aerial photography. Classification results include 12 land-cover classes and subclasses that may be assessed from the sub-parcel to the landscape scales, facilitating examination of scale dynamics. The proposed object-based classification method provides robust results, uses minimal and readily available ancillary data, and reduces computational time.

Original languageEnglish (US)
Pages (from-to)321-330
Number of pages10
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume33
Issue number1
DOIs
StatePublished - 2014

Fingerprint

Aerial photography
aerial photography
land cover
land type
Systems science
Image segmentation
segmentation
Geographic information systems
metropolitan area
Sustainable development
spatial resolution
imagery
GIS
sustainability
Antennas
Planning
decision

Keywords

  • Aerial photography
  • Classification system
  • Land cover
  • Object-based image analysis
  • Phoenix
  • Urban

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Earth-Surface Processes
  • Global and Planetary Change
  • Management, Monitoring, Policy and Law

Cite this

Object-based land-cover classification for metropolitan Phoenix, Arizona, using aerial photography. / Li, Xiaoxiao; Myint, Soe; Zhang, Yujia; Galletti, Chritopher; Zhang, Xiaoxiang; Turner, Billie.

In: International Journal of Applied Earth Observation and Geoinformation, Vol. 33, No. 1, 2014, p. 321-330.

Research output: Contribution to journalArticle

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