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
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1.5K
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124
Authors
54
Institutions
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2017–2026
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Andrew Williamson, Neil Arnold, Alison F. Banwell et al. · Remote Sensing of Environment · 2017 · 121 citations · Full text
Landslide Volumetric Analysis Using Cartosat-1-Derived DEMs
Tapas R. Martha, Norman Kerle, Victor Jetten et al. · IEEE Geoscience and Remote Sensing Letters · 2010 · 100 citations
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University of Cambridge
Cambridge, United Kingdom
2 h-index
5 publications
496 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
2 h-index
8 publications
252 citations
Technical University of Munich
Munich, Germany
2 h-index
5 publications
247 citations

VTT Technical Research Centre of Finland
Espoo, Finland
2 h-index
7 publications
563 citations
GFZ Helmholtz Centre for Geosciences
Potsdam, Germany
2 h-index
4 publications
144 citations

University of Novi Sad
Novi Sad, Serbia
1 h-index
2 publications
22 citations

Swedish University of Agricultural Sciences
Uppsala, Sweden
1 h-index
3 publications
288 citations
Xiamen University
Xiamen, China
1 h-index
3 publications
585 citations
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6 publications · 186 citations
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4 publications · 454 citations
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1 publications · 12 citations
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1 publications · 129 citations
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1 publications · 40 citations
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