Land Cover Data

Land Cover Data is a spatial dataset that categorizes the physical and biological composition of the Earth's surface, distinguishing itself from other geospatial datasets by representing observed biophysical materials such as vegetation, water, and artificial surfaces at specific geographic locations.

3K

Publications

219.1K

Citations

10.3K

Authors

2.6K

Institutions

Publications per year

2017–2026

1.2K

Authors

10.3K

  1. SF
    Steffen Fritz

    International Institute for Applied Systems Analysis, Austria

    27 publications · 4K citations

    24

    h-index

  2. MH
    Martin Herold

    Wageningen University & Research, Netherlands

    27 publications · 4K citations

    23

    h-index

  3. PG
    Peng Gong

    Tsinghua University, China

    26 publications · 2K citations

    20

    h-index

  4. JW
    James Wickham

    Environmental Protection Agency, United States

    22 publications · 7.3K citations

    20

    h-index

  5. TR
    Thomas R. Loveland

    United States Geological Survey, United States

    20 publications · 7.1K citations

    19

    h-index

1–5 of 10.3K

Venues

  1. International Journal of Remote Sensing

    169 publications · 20.4K citations

    66

    h-index

  2. Remote Sensing

    265 publications · 18.4K citations

    63

    h-index

  3. Remote Sensing of Environment

    83 publications · 16.1K citations

    57

    h-index

  4. 33

    h-index

  5. Photogrammetric Engineering & Remote Sensing

    40 publications · 11.1K citations

    31

    h-index

1–5