Crowdsourced Geospatial Data Processing

Crowdsourced Geospatial Data Processing is a geospatial data processing approach that leverages volunteered geographic information from a distributed network of non-expert contributors to generate, validate, or refine spatial datasets through collective participation.

34

Publications

1.5K

Citations

141

Authors

88

Institutions

Publications per year

2017–2026

15

Authors

141

  1. PM
    Peter Mooney

    National University of Ireland, Maynooth, Ireland

    4 publications · 529 citations

    4

    h-index

  2. MM
    Michele Melchiori

    University of Brescia, Italy

    2 publications · 40 citations

    2

    h-index

  3. RK
    Roula Karam

    University of Brescia, Italy

    2 publications · 40 citations

    2

    h-index

  4. BR
    Bernd Resch

    University of Salzburg, Austria

    1 publications · 81 citations

    1

    h-index

  5. AP
    Andrea Pődör

    Obuda University, Hungary

    1 publications · 429 citations

    1

    h-index

1–5 of 141

Venues

  1. ISPRS International Journal of Geo-Information

    IJGI · 6 publications · 564 citations

    6

    h-index

  2. Sensors

    2 publications · 108 citations

    2

    h-index

  3. Urban forestry & urban greening

    1 publications · 25 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5