Geospatial Data Processing

Geospatial Data Processing is a computational methodology within geomatics that involves the systematic transformation, analysis, and interpretation of spatially referenced data to derive accurate, consistent, and meaningful geographic information.

1.2K

Publications

66.6K

Citations

3.4K

Authors

1.1K

Institutions

Publications per year

2017–2026

435

Authors

3.4K

  1. LD
    Liping Di

    George Mason University, United States

    28 publications · 1.1K citations

    20

    h-index

  2. MF
    Michael F. Goodchild

    University of California, Santa Barbara, United States

    15 publications · 1.4K citations

    15

    h-index

  3. PY
    Peng Yue

    Wuhan University, China

    13 publications · 655 citations

    12

    h-index

  4. WL
    Wenwen Li

    Arizona State University, United States

    11 publications · 776 citations

    11

    h-index

  5. HW
    Huayi Wu

    State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China

    10 publications · 362 citations

    10

    h-index

1–5 of 3.4K

Venues

  1. 33

    h-index

  2. Computers & Geosciences

    CAGEO · 45 publications · 3.2K citations

    29

    h-index

  3. ISPRS International Journal of Geo-Information

    IJGI · 48 publications · 2K citations

    25

    h-index

  4. Transactions in GIS

    42 publications · 1.4K citations

    24

    h-index

  5. Computers Environment and Urban Systems

    27 publications · 2.1K citations

    19

    h-index

1–5