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 |
| Publisher | International Society for Photogrammetry and Remote Sensing (ISPRS) |
| Pages | 517-519 |
| Number of pages | 3 |
| Volume | 1 |
| Publication status | Published - 1 Jan 1986 |
| Externally published | Yes |
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