Geospatial Uncertainty Analysis

Geospatial Uncertainty Analysis is a systematic methodological framework within geospatial science that characterizes, quantifies, and propagates uncertainties arising from spatial data acquisition, processing, and modeling in remote sensing to support robust environmental health assessments.

97

Publications

6.2K

Citations

351

Authors

197

Institutions

Publications per year

2017–2026

35

Authors

351

  1. MK
    Mei‐Po Kwan

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 72 citations

    3

    h-index

  2. MG
    Mark Gahegan

    Pennsylvania State University, United States

    2 publications · 623 citations

    2

    h-index

  3. BF
    Bakhtiar Feizizadeh

    University of Tabriz, Iran

    2 publications · 420 citations

    2

    h-index

  4. PM
    Peter M. Atkinson

    University of Southampton, United Kingdom

    2 publications · 37 citations

    2

    h-index

  5. DA
    Daniel A. Griffith

    The University of Texas at Dallas, United States

    2 publications · 57 citations

    2

    h-index

1–5 of 351

Venues

  1. Computers & Geosciences

    CAGEO · 5 publications · 574 citations

    5

    h-index

  2. Engineering Geology

    3 publications · 80 citations

    3

    h-index

  3. Cartography and Geographic Information Science

    3 publications · 597 citations

    3

    h-index

  4. Environmental Modelling & Software

    3 publications · 152 citations

    3

    h-index

  5. The Science of The Total Environment

    3 publications · 131 citations

    3

    h-index

1–5