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

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 proceeding › Conference proceeding contribution

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 language	English
Title of host publication	Remote sensing for resources development and environmental management
Subtitle of host publication	proceedings of the Seventh International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII/Enschede/25-29 August 1986
Editors	M. C. J. Damen, G. Sicco Smit, H. Th. Verstappen
Place of Publication	Rotterdam
Publisher	A. A. Balkema
Pages	517-519
Number of pages	3
Volume	1
ISBN (Print)	9061916755
Publication status	Published - 1986
Externally published	Yes
Event	International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII (7th : 1986) - Enschede, Netherlands Duration: 25 Aug 1986 → 29 Aug 1986 Conference number: 7th

Conference

Conference	International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII (7th : 1986)
Country/Territory	Netherlands
City	Enschede
Period	25/08/86 → 29/08/86

Cite this

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 M. C. J. Damen, G. Sicco Smit, & H. T. Verstappen (Eds.), Remote sensing for resources development and environmental management: proceedings of the Seventh International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII/Enschede/25-29 August 1986 (Vol. 1, pp. 517-519). A. A. Balkema.

Skidmore, A. K. ; Woodgate, P. W. ; Richards, J. A. / Classification of the Riverina forests of south east Australia using co-registered Landsat MSS and SIR-B radar data. Remote sensing for resources development and environmental management: proceedings of the Seventh International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII/Enschede/25-29 August 1986. editor / M. C. J. Damen ; G. Sicco Smit ; H. Th. Verstappen. Vol. 1 Rotterdam : A. A. Balkema, 1986. pp. 517-519

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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",

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year = "1986",

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booktitle = "Remote sensing for resources development and environmental management",

publisher = "A. A. Balkema",

address = "Netherlands",

note = "International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII (7th : 1986) ; Conference date: 25-08-1986 Through 29-08-1986",

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Skidmore, AK, Woodgate, PW & Richards, JA 1986, Classification of the Riverina forests of south east Australia using co-registered Landsat MSS and SIR-B radar data. in MCJ Damen, G Sicco Smit & HT Verstappen (eds), Remote sensing for resources development and environmental management: proceedings of the Seventh International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII/Enschede/25-29 August 1986. vol. 1, A. A. Balkema, Rotterdam, pp. 517-519, International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII (7th : 1986), Enschede, Netherlands, 25/08/86.

Classification of the Riverina forests of south east Australia using co-registered Landsat MSS and SIR-B radar data. / Skidmore, A. K.; Woodgate, P. W.; Richards, J. A.

Remote sensing for resources development and environmental management: proceedings of the Seventh International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII/Enschede/25-29 August 1986. ed. / M. C. J. Damen; G. Sicco Smit; H. Th. Verstappen. Vol. 1 Rotterdam : A. A. Balkema, 1986. p. 517-519.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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N2 - 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

AB - 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

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BT - Remote sensing for resources development and environmental management

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A2 - Sicco Smit, G.

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Skidmore AK, Woodgate PW, Richards JA. Classification of the Riverina forests of south east Australia using co-registered Landsat MSS and SIR-B radar data. In Damen MCJ, Sicco Smit G, Verstappen HT, editors, Remote sensing for resources development and environmental management: proceedings of the Seventh International Symposium on Remote Sensing for Resources Development and Environmental Management ISPRS Commission VII/Enschede/25-29 August 1986. Vol. 1. Rotterdam: A. A. Balkema. 1986. p. 517-519

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

Abstract

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