Theory and applications of object-based image analysis and emerging methods in wetland mapping

Joseph F. Knight, Jennifer M. Corcoran, Lian P. Rampi, Keith C. Pelletier

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

This chapter addresses object-based image analysis (OBIA) and other emerging methods for mapping wetlands using remotely sensed and ancillary data. This treatment includes an introduction to OBIA and decision tree techniques, a history of the development of OBIA methods in wetland mapping, and four case studies describing recent wetland mapping research conducted in the Remote Sensing and Geospatial Analysis Laboratory at the University of Minnesota. The chapter ends with a discussion of lessons learned and possibilities for future applications.

Original languageEnglish (US)
Title of host publicationRemote Sensing of Wetlands
Subtitle of host publicationApplications and Advances
PublisherCRC Press
Pages175-194
Number of pages20
ISBN (Electronic)9781482237382
ISBN (Print)9781482237351
DOIs
StatePublished - Jan 1 2015

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Knight, J. F., Corcoran, J. M., Rampi, L. P., & Pelletier, K. C. (2015). Theory and applications of object-based image analysis and emerging methods in wetland mapping. In Remote Sensing of Wetlands: Applications and Advances (pp. 175-194). CRC Press. https://doi.org/10.1201/b18210