A fast, simple and versatile algorithm to fill the depressions of digital elevation models

By O. Planchon, F. Darboux. 2002

492 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/7a9c41f13e395f9f1247b1fa6461579bcb5b6027

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. A-Xing Zhu
2. Hongxing Liu
3. Lei Wang

In Environmental Engineering

1. A-Xing Zhu
2. C. Qin
3. Hongxing Liu
4. Lei Wang

In Water Science and Technology

1. Hongxing Liu
2. Lei Wang
3. D. Scherler
4. Wolfgang Schwanghart
5. Miska Luoto
6. P. Niittynen

Citations in the corpus

• Mapping soil organic matter in small low-relief catchments using fuzzy slope position information (2012, methodology): “Before the calculation of topographic attributes, a DEM pre-processing algorithm proposed by Planchon and Darboux (2001) was used to remove depressions and revise flat areas with a very gentle slope gradient (0.1% in this study), which is more suitable for low-relief areas (Qin et al., 2006).”
• An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling (2006, methodology): “5) for the worst case (Planchon and Darboux 2001).”