Assessing stream bank condition using airborne LiDAR and high spatial resolution image data in temperate semirural areas in Victoria, Australia

Kasper Johansen; James Grove; Robert Denham; Stuart R. Phinn

doi:10.1117/1.JRS.7.073492

28 October 2013 Assessing stream bank condition using airborne LiDAR and high spatial resolution image data in temperate semirural areas in Victoria, Australia

Kasper Johansen, James Grove, Robert Denham, Stuart R. Phinn

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 7, Issue 1, 073492 (October 2013). https://doi.org/10.1117/1.JRS.7.073492

Abstract

Stream bank condition is an important physical form indicator for streams related to the environmental condition of riparian corridors. This research developed and applied an approach for mapping bank condition from airborne light detection and ranging (LiDAR) and high-spatial resolution optical image data in a temperate forest/woodland/urban environment. Field observations of bank condition were related to LiDAR and optical image-derived variables, including bank slope, plant projective cover, bank-full width, valley confinement, bank height, bank top crenulation, and ground vegetation cover. Image-based variables, showing correlation with the field measurements of stream bank condition, were used as input to a cumulative logistic regression model to estimate and map bank condition. The highest correlation was achieved between field-assessed bank condition and image-derived average bank slope (R ² =0.60 , n=41 ), ground vegetation cover (R ² =0.43 , n=41 ), bank width/height ratio (R² =0.41 , n=41 ), and valley confinement (producer’s accuracy=100% , n=9 ). Cross-validation showed an average misclassification error of 0.95 from an ordinal scale from 0 to 4 using the developed model. This approach was developed to support the remotely sensed mapping of stream bank condition for 26,000 km of streams in Victoria, Australia, from 2010 to 2012.

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Kasper Johansen, James Grove, Robert Denham, and Stuart R. Phinn "Assessing stream bank condition using airborne LiDAR and high spatial resolution image data in temperate semirural areas in Victoria, Australia," Journal of Applied Remote Sensing 7(1), 073492 (28 October 2013). https://doi.org/10.1117/1.JRS.7.073492

Published: 28 October 2013

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