An efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling

By Lei Wang, Hongxing Liu. International Journal of Geographical Information Science, 2006

573 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/cae49fdd16a63857d5cd124bce2133b4f7fd8057

How researchers see this paper

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

In Atmospheric Science

1. Wolfgang Schwanghart
2. Miska Luoto
3. D. Scherler
4. P. Niittynen

In Global and Planetary Change

1. Wolfgang Schwanghart
2. Miska Luoto
3. D. Scherler
4. P. Niittynen

In Water Science and Technology

1. D. Scherler
2. Wolfgang Schwanghart
3. Miska Luoto
4. P. Niittynen

Citations in the corpus

• The importance of snow in species distribution models of arctic vegetation (2018, methodology): “The DEM was first preprocessed by filling sinks (Wang and Liu 2006) and then used to calculate the specific catchment area and slope, as required by the TWI algorithm.”
• Short Communication: TopoToolbox 2 – MATLAB-based software for topographic analysis and modeling in Earth surface sciences (2014, methodology): “4 http://www.uoguelph.ca/~hydrogeo/Whitebox/; version 3.0.8; fill sinks algorithm proposed by Wang and Liu (2006) with minimum of slope of 0.001 • . of the memory of the associated multiple-flow-direction matrix and 33 % of the single-flow-direction matrix.”