Journal article
A procedure for the correction of the effect of variation in incidence angle on AIRSAR data
International Journal of Remote Sensing, Vol.22(5), pp.829-841
2001
Abstract
Radar imaging is a valuable tool for the monitoring and management of tropical ecosystems. One of the obstacles to its successful usage is the variation of the radar backscatter with incidence angle caused by the side-looking mode of the sensor. Available research has modelled the effect of changes in incidence angle for soil, grass and scattering mechanisms in tree-covered areas. The effect varies depending on the scattering mechanism. To model the radar backscatter behaviour of a natural landscape, therefore, implies precise knowledge of the land-cover composition. A method for estimating and correcting the effect of changes in look angle on backscatter data is consequently proposed; it requires little field knowledge and encompasses the effects on most land-cover types in the study area. The method is based on the assumption that each line in azimuth direction contains a similar composition in regard to land-cover types. The backscatter frequency distribution of each azimuth line can then be employed to model and correct for the effect of variation in incidence angle. The results are evaluated using an existing land-cover classification to extract mean backscatter values for individual land-cover classes before and after the correction procedure. The correction procedure is shown to successfully adjust backscatter intensities to a nominal incidence angle for the vegetation communities in a coastal tropical savanna landscape in Australia's Northern Territory.
Details
- Title
- A procedure for the correction of the effect of variation in incidence angle on AIRSAR data
- Authors
- C H Menges (Author) - Charles Darwin UniversityJ J Van Zyl (Author) - California Institute of TechnologyGreg J E Hill (Author) - University of the Sunshine CoastW Ahmad (Author) - Charles Darwin University
- Publication details
- International Journal of Remote Sensing, Vol.22(5), pp.829-841
- Publisher
- Taylor & Francis Ltd.
- Date published
- 2001
- DOI
- 10.1080/01431160051060264
- ISSN
- 0143-1161
- Organisation Unit
- University of the Sunshine Coast, Queensland; Office of the Vice-Chancellor and President
- Language
- English
- Record Identifier
- 99449032302621
- Output Type
- Journal article
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- Domestic collaboration
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- Imaging Science & Photographic Technology
- Remote Sensing
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