Concepedia

Digital Elevation Model Error Analysis

Digital Elevation Model Error Analysis is a systematic methodological framework used in flood inundation modeling to quantify, characterize, and interpret spatial inaccuracies in digital elevation data, distinguishing it from related geospatial error assessments by its exclusive focus on elevation-derived uncertainties impacting flood extent and depth predictions.

103

Publications

9.9K

Citations

288

Authors

147

Institutions

Publications per year

2017–2026

34

Parents

Publications

103

A high‐accuracy map of global terrain elevations

Dai Yamazaki, Daiki Ikeshima, Ryunosuke Tawatari et al. · Geophysical Research Letters · 2017 · 1.6K citations · Full text

, , +17

A 30 m global map of elevation with forests and buildings removed

Laurence Hawker, Peter Uhe, Luntadila Paulo et al. · Environmental Research Letters · 2022 · 618 citations · Full text

, , +17

Characteristics of ASTER GDEM version 2

Tetsushi Tachikawa, Masami Hato, Manabu Kaku et al. · 2011 · 561 citations

, , +17

Causes and consequences of error in digital elevation models

Peter Fisher, Nicholas Tate · Progress in Physical Geography Earth and Environment · 2006 · 493 citations · Full text

, , +17

Evaluation of on-line DEMs for flood inundation modeling

Brett F. Sanders · Advances in Water Resources · 2007 · 401 citations

, , +14

1–5 of 103

Authors

288

  1. PB
    Paul Bates

    University of Bristol, United Kingdom

    5 publications · 2.1K citations

    5

    h-index

  2. LH
    Laurence Hawker

    University of Bristol, United Kingdom

    4 publications · 1.1K citations

    4

    h-index

  3. JN
    Jeffrey Neal

    University of Bristol, United Kingdom

    4 publications · 1.1K citations

    4

    h-index

  4. SW
    Shawn W. Laffan

    UNSW Sydney, Australia

    3 publications · 167 citations

    3

    h-index

  5. SC
    Seamus Coveney

    National University of Ireland, Maynooth, Ireland

    3 publications · 217 citations

    3

    h-index

1–5 of 288

Institutions

147

  1. University of Bristol

    Bristol, United Kingdom

    6 h-index

    18 publications

    5.3K citations

  2. The University of Tokyo

    Tokyo, Japan

    3 h-index

    3 publications

    2.2K citations

  3. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    3 publications

    155 citations

  4. The University of Western Australia

    Perth, Australia

    3 h-index

    3 publications

    193 citations

  5. Australian National University

    Canberra, Australia

    3 h-index

    3 publications

    167 citations

  6. UNSW Sydney

    Sydney, Australia

    3 h-index

    3 publications

    167 citations

  7. University of California, Santa Barbara

    Santa Barbara, United States

    2 h-index

    3 publications

    798 citations

  8. At Bristol

    Bristol, United Kingdom

    2 h-index

    7 publications

    5.3K citations

1–8 of 147

Venues

  1. 8

    h-index

  2. Photogrammetric Engineering & Remote Sensing

    7 publications · 673 citations

    7

    h-index

  3. Remote Sensing

    7 publications · 486 citations

    7

    h-index

  4. Water Resources Research

    5 publications · 288 citations

    5

    h-index

  5. Journal of Hydrology

    5 publications · 650 citations

    5

    h-index

1–5