Spatial Resampling

Spatial Resampling is a spatial feature engineering technique that systematically adjusts the resolution, extent, or alignment of spatial data grids or rasters through interpolation or aggregation methods to facilitate consistent analysis across differing spatial scales or coordinate systems.

97

Publications

9.6K

Citations

308

Authors

156

Institutions

Publications per year

2017–2026

32

Authors

308

  1. TA
    T. A. Buishand

    Royal Netherlands Meteorological Institute, Netherlands

    3 publications · 381 citations

    3

    h-index

  2. GM
    Grégoire Mariethoz

    University of Lausanne, Switzerland

    3 publications · 275 citations

    3

    h-index

  3. JK
    Jeffrey Krolik

    Duke University, United States

    3 publications · 162 citations

    3

    h-index

  4. GZ
    Guangyuan Zheng

    Beijing Institute of Technology, China

    2 publications · 69 citations

    2

    h-index

  5. GH
    Guanghui Han

    Sun Yat-sen University, China

    2 publications · 69 citations

    2

    h-index

1–5 of 308

Venues

  1. Water Resources Research

    5 publications · 652 citations

    5

    h-index

  2. 4

    h-index

  3. International Journal of Remote Sensing

    3 publications · 61 citations

    3

    h-index

  4. Remote Sensing

    3 publications · 171 citations

    3

    h-index

  5. Sensors

    2 publications · 61 citations

    2

    h-index

1–5