Remote Sensing Volume Estimation

Remote Sensing Volume Estimation is a methodological framework within geospatial analysis that distinguishes itself by quantifying three-dimensional spatial extents of surface features through the interpretation of remotely acquired sensor data, such as LiDAR, radar, or photogrammetric imagery, rather than through direct field measurement or non-sensor-based modeling techniques.

29

Publications

1.5K

Citations

124

Authors

54

Institutions

Publications per year

2017–2026

15

Authors

124

  1. TT
    Timo Tokola

    University of Eastern Finland, Finland

    2 publications · 100 citations

    2

    h-index

  2. OA
    Oleg Antropov

    VTT Technical Research Centre of Finland, Finland

    2 publications · 173 citations

    2

    h-index

  3. YR
    Yrjö Rauste

    VTT Technical Research Centre of Finland, Finland

    2 publications · 173 citations

    2

    h-index

  4. FS
    Florian Seitz

    Technical University of Munich, Germany

    2 publications · 89 citations

    2

    h-index

  5. TH
    Tuomas Häme

    VTT Technical Research Centre of Finland, Finland

    2 publications · 173 citations

    2

    h-index

1–5 of 124

Venues

  1. Remote Sensing

    6 publications · 186 citations

    6

    h-index

  2. Remote Sensing of Environment

    4 publications · 454 citations

    4

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Digital Signal Processing

    1 publications · 40 citations

    1

    h-index

1–5