Remote Sensing-based Population Estimation

Remote Sensing-Based Population Estimation is a population mapping method that utilizes satellite and aerial remote sensing data to spatially model and predict human population distributions by integrating environmental, built-up, and land use features as proxies for human settlement patterns.

149

Publications

11.7K

Citations

522

Authors

229

Institutions

Publications per year

2017–2026

64

Authors

522

  1. AJ
    Andrew J. Tatem

    University of Southampton, United Kingdom

    8 publications · 2.2K citations

    8

    h-index

  2. PJ
    Peng Jia

    University of Twente, Netherlands

    4 publications · 401 citations

    4

    h-index

  3. CW
    Changshan Wu

    University of Wisconsin–Milwaukee, United States

    4 publications · 176 citations

    4

    h-index

  4. CP
    C. P. Lo

    University of Georgia, United States

    4 publications · 246 citations

    4

    h-index

  5. TY
    Tingting Ye

    Monash University, Australia

    4 publications · 397 citations

    4

    h-index

1–5 of 522

Venues

  1. Remote Sensing

    16 publications · 617 citations

    16

    h-index

  2. International Journal of Remote Sensing

    16 publications · 1.6K citations

    16

    h-index

  3. Remote Sensing of Environment

    7 publications · 656 citations

    7

    h-index

  4. PLoS ONE

    7 publications · 1.7K citations

    7

    h-index

  5. Applied Geography

    5 publications · 332 citations

    5

    h-index

1–5