Spatial Data Sampling

Spatial Data Sampling is a methodological framework within geospatial data acquisition that systematically selects georeferenced observations from a spatial population to represent spatial patterns, processes, or phenomena while accounting for spatial autocorrelation, heterogeneity, and representativeness.

178

Publications

10.4K

Citations

747

Authors

338

Institutions

Publications per year

2017–2026

44

Authors

747

  1. AS
    Alfred Stein

    University of Twente, Netherlands

    4 publications · 267 citations

    4

    h-index

  2. NP
    Nima Pahlevan

    Goddard Space Flight Center, United States

    3 publications · 321 citations

    3

    h-index

  3. JW
    Jinfeng Wang

    Chinese Academy of Sciences, China

    3 publications · 180 citations

    3

    h-index

  4. MC
    Michele Crosetto

    Centre Tecnologic de Telecomunicacions de Catalunya, Spain

    2 publications · 178 citations

    2

    h-index

  5. GD
    Gabriela Dumitru

    Schlumberger (Norway), Norway

    2 publications · 33 citations

    2

    h-index

1–5 of 747

Venues

  1. Geophysics

    9 publications · 293 citations

    9

    h-index

  2. International Journal of Remote Sensing

    4 publications · 211 citations

    4

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 4 publications · 444 citations

    4

    h-index

  4. Remote Sensing of Environment

    4 publications · 348 citations

    4

    h-index

  5. 3

    h-index

1–5