The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters
Abstract
Lidar remote sensing has proven to be a powerful tool for estimating ground elevation, canopy height, and additional vegetation parameters, which in turn are valuable information for the investigation of ecosystems. Spaceborne lidar systems, like the Global Ecosystem Dynamics Investigation (GEDI), can deliver these height estimates on a near global scale. This paper analyzes the accuracy of the first version of GEDI ground elevation and canopy height estimates in two study areas with temperate forests in the Free State of Thuringia, central Germany. Digital terrain and canopy height models derived from airborne laser scanning data are used as reference heights. The influence of various environmental and acquisition parameters (e.g., canopy cover, terrain slope, beam type) on GEDI height metrics is assessed. The results show a consistently high accuracy of GEDI ground elevation estimates under most conditions, except for areas with steep slopes. GEDI canopy height estimates are less accurate and show a bigger influence of some of the included parameters, specifically slope, vegetation height, and beam sensitivity. A number of relatively high outliers (around 9–13% of the measurements) is present in both ground elevation and canopy height estimates, reducing the estimation precision. Still, it can be concluded that GEDI height metrics show promising results and have potential to be used as a basis for further investigations.
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“As has been noted in Adam et al. (2020), the GEDI instruments estimate of canopy height is influenced by the terrain slope.”
From Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar (2024) · cites this paper as Adam et al. (2020)
Citations
Cites
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Alternatives to the Median Absolute Deviation
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Alternatives to the Median Absolute Deviation
Rousseeuw, P. J., & Croux, C. (1993) · Journal of the American Statistical Association · doi:10.2307/2291267 · Cited by 1,466
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Dubayah, R., Blair, J. B., Goetz, S., Fatoyinbo, L., Hansen, M., Healey, S., Hofton, M., Hurtt, G., Kellner, J., Luthcke, S., et al. (2020) · Science of Remote Sensing · doi:10.1016/j.srs.2020.100002 · Cited by 1,042
Overview of the ICESat Mission
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- Wellhausen, 2017, Mischbestände aus Kiefer (Pinus sylvestris L.) und Fichte (Picea abies (KARST.) L.): Ökologie, Ertrag und waldbauliche Behandlung, Allg. Forst-und Jagdztg., 188, 3
Cited by
Tolan, J., Yang, H.-I., Nosarzewski, B., Couairon, G., Vo, H. V., Brandt, J., Spore, J., Majumdar, S., Haziza, D., Vamaraju, J., et al. (2024) · Remote Sensing of Environment · doi:10.1016/j.rse.2023.113888 · Cited by 419
Metadata
- Authors
- Adam, M., Urbazaev, M., Dubois, C., & Schmullius, C.
- Affiliations
- Department for Earth Observation, Friedrich-Schiller-University Jena, Loebdergraben 32, 07743 Jena, Germany
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2020-12-02
- Volume
- 12
- Issue
- 23
- Pages
- 3948
- ISSN
- 2072-4292
- Cited by
- 156
- References
- 42
- Language
- en
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- CoChat. (2026). Citation check: Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters. https://app.cochat.ai/papers/10.3390/rs12233948
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- Adam, M., Urbazaev, M., Dubois, C., & Schmullius, C. (2020). Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters. Remote Sensing. https://doi.org/10.3390/rs12233948
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