Mapping impervious surface area using high resolution imagery: A comparison of object-based and per pixel classification

Fei Yuan, Marvin E. Bauer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

51 Scopus citations

Abstract

Impervious surface area is a key indicator of environmental quality. Satellite remote sensing of impervious surface has focused on subpixel analysis via various forms of statistical estimation, subpixel classification, and spectral mixture analysis, using medium resolution Landsat TM or ETM+ data. Maps of impervious surface area from these studies provide useful inputs to planning and management activities at city to regional scales. However, for local studies, large-scale, higher resolution maps are preferred. This study investigates digital classification techniques of mapping of impervious surface area using high resolution Quickbird satellite data. Two methods - object-based and per pixel classification - are explored and compared. The results provide information for accurate impervious surface mapping and estimation in high resolution imagery.

Original languageEnglish (US)
Title of host publicationAmerican Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006
Subtitle of host publicationProspecting for Geospatial Information Integration
Pages1667-1674
Number of pages8
StatePublished - Dec 1 2006
EventAnnual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration, ASPRS 2006 - Reno, NV, United States
Duration: May 1 2006May 5 2006

Publication series

NameAmerican Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration
Volume3

Other

OtherAnnual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration, ASPRS 2006
CountryUnited States
CityReno, NV
Period5/1/065/5/06

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    Yuan, F., & Bauer, M. E. (2006). Mapping impervious surface area using high resolution imagery: A comparison of object-based and per pixel classification. In American Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration (pp. 1667-1674). (American Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration; Vol. 3).