Valley Detection

Valley Detection is a geomorphometric analysis method that identifies and delineates concave topographic features in digital elevation models by detecting local minima and drainage pathways characteristic of fluvial erosion patterns.

92

Publications

6.4K

Citations

274

Authors

124

Institutions

Publications per year

2017–2026

20

Authors

274

  1. SM
    Stephen M. Pizer

    University of North Carolina at Chapel Hill, United States

    3 publications · 341 citations

    3

    h-index

  2. TA
    Tinghua Ai

    Wuhan University, China

    3 publications · 123 citations

    3

    h-index

  3. VI
    Victoria Interrante

    University of Minnesota, United States

    2 publications · 200 citations

    2

    h-index

  4. JL
    Jingzhong Li

    Wuhan University, China

    2 publications · 108 citations

    2

    h-index

  5. HF
    Henry Fuchs

    University of North Carolina at Chapel Hill, United States

    2 publications · 200 citations

    2

    h-index

1–5 of 274

Venues

  1. 5

    h-index

  2. Geomorphology

    4 publications · 206 citations

    4

    h-index

  3. Computers & Geosciences

    CAGEO · 4 publications · 132 citations

    4

    h-index

  4. 3

    h-index

  5. Earth Surface Processes and Landforms

    2 publications · 122 citations

    2

    h-index

1–5