Abstract
Gully erosion is a major contributor of high load of sediment volumes in Australian river catchments. Gully erosion volume calculation requires careful selection of data and methods
which are appropriate at the required level and scale. Gully identification and mapping methods have been under discussion for many years to find improved techniques for gully mapping as well as to study gully morphology and underlying erosion processes. This paper describes a method to process Cartosat-1 stereo images at 2.5 m resolution and presents the necessary steps involved in generating a three dimensional (3D) digital surface model (DSM).
A user friendly and efficient 3D gully identification and mapping method is presented to store morphometric parameters of gullies and to calculate erosion volume. An example is provided from the Daly River catchment in the
Northern Territory.
which are appropriate at the required level and scale. Gully identification and mapping methods have been under discussion for many years to find improved techniques for gully mapping as well as to study gully morphology and underlying erosion processes. This paper describes a method to process Cartosat-1 stereo images at 2.5 m resolution and presents the necessary steps involved in generating a three dimensional (3D) digital surface model (DSM).
A user friendly and efficient 3D gully identification and mapping method is presented to store morphometric parameters of gullies and to calculate erosion volume. An example is provided from the Daly River catchment in the
Northern Territory.
| Original language | English |
|---|---|
| Pages | 101-101 |
| Number of pages | 1 |
| Publication status | Published - 21 Jul 2019 |
| Event | 8th International Symposium on Gully Erosion - Townsvile, Australia Duration: 21 Jul 2019 → 27 Jul 2019 https://www.csiro.au/en/Research/LWF/ISGE |
Other
| Other | 8th International Symposium on Gully Erosion |
|---|---|
| Abbreviated title | 8th ISGE |
| Country/Territory | Australia |
| City | Townsvile |
| Period | 21/07/19 → 27/07/19 |
| Internet address |