Computing water flow through complex landscapes – Part 2: Finding hierarchies in depressions and morphological segmentations

Barnes, Richard; Callaghan, Kerry L.; Wickert, Andrew D.

doi:https://doi.org/10.5194/esurf-8-431-2020

Articles | Volume 8, issue 2

https://doi.org/10.5194/esurf-8-431-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esurf-8-431-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 2

Research article

|

02 Jun 2020

Research article |

| 02 Jun 2020

Computing water flow through complex landscapes – Part 2: Finding hierarchies in depressions and morphological segmentations

Richard Barnes, Kerry L. Callaghan, and Andrew D. Wickert

Model code and software

Depression Hierarchy Source Code R. Barnes and K. Callaghan https://doi.org/10.5281/zenodo.3238558

Short summary

Maps of elevation are used to help predict the flow of water so we can better understand landslides, floods, and global climate change. However, modeling the flow of water is difficult when elevation maps include swamps, lakes, and other depressions. This paper explains a new method that overcomes these difficulties, allowing models to run faster and more accurately.