Classification of the Riverina forests of south east Australia using co-registered Landsat MSS and SIR-B radar data.

A. K. Skidmore, P. W. Woodgate, J. A. Richards

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)

Abstract

The Riverina forests of south east Australia have been extensively managed for 150 years as a productive source of railway sleepers and sawn timber. This study was the first Australian forestry application to evaluate the use of SIR-B radar (co-registered with Landsat MSS data) for mapping forest types and site quality classes. The techniques used for radar speckle reduction, registration of images and classification of cover classes are discussed. Results show that the classification accuracy was superior when the two data sources were used in combination rather than individually. -Authors

Original languageEnglish
Title of host publicationRemote sensing for resources development and environmental management. Proc. 7th ISPRS Commission VII symposium, Enschede, 1986. Vol. 1 1986, Pages 517-519
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Pages517-519
Number of pages3
Publication statusPublished - 1 Jan 1986
Externally publishedYes

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    Skidmore, A. K., Woodgate, P. W., & Richards, J. A. (1986). Classification of the Riverina forests of south east Australia using co-registered Landsat MSS and SIR-B radar data. In Remote sensing for resources development and environmental management. Proc. 7th ISPRS Commission VII symposium, Enschede, 1986. Vol. 1 1986, Pages 517-519 (pp. 517-519). International Society for Photogrammetry and Remote Sensing (ISPRS).