Elevation Data Interpolation

Elevation Data Interpolation is a computational method in geospatial analysis that estimates unknown elevation values at unsampled locations by applying mathematical or statistical techniques to discrete elevation data points, distinguishing it from other terrain modeling approaches through its reliance on spatial continuity and proximity-based relationships.

32

Publications

21.7K

Citations

120

Authors

68

Institutions

Publications per year

2017–2026

8

Authors

120

  1. AJ
    Andy Jarvis

    International Center for Tropical Agriculture, Colombia

    1 publications · 20.1K citations

    1

    h-index

  2. FL
    Fucheng Liu

    Hebei University, China

    1 publications · 11 citations

    1

    h-index

  3. XZ
    Xiaoyan Zhen

    Aerospace Information Research Institute, China

    1 publications · 22 citations

    1

    h-index

  4. JL
    Jie Lu

    Chuzhou University, China

    1 publications · 12 citations

    1

    h-index

  5. CY
    Cancan Yang

    Chuzhou University, China

    1 publications · 12 citations

    1

    h-index

1–5 of 120

Venues

  1. Geophysics

    1 publications · 120 citations

    1

    h-index

  2. 1

    h-index

  3. Soil Use and Management

    1 publications · 49 citations

    1

    h-index

  4. International Journal of Remote Sensing

    1 publications · 37 citations

    1

    h-index

  5. Geomorphology

    1 publications · 21 citations

    1

    h-index

1–5