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- W2118970069 abstract "Our objective was to evaluate the accuracy of estimating forest canopy height when using scanning LiDAR and TerraSAR-X stereo radargrammetry. The study area was located in southern Finland. We used SAR radargrammetry and LiDAR to extract 3D point clouds to derive predictors used in the non-parametric prediction of forest canopy height. We used tree-wise measured field plots (n=110) as reference data. Our results showed that with SAR radargrammetry, the relative RMSE for forest canopy height was 12.2% whereas it was 8.1% with LiDAR. We concluded that SAR radargrammetry is a promising remote-sensing method for predicting forest canopy height when an accurate digital terrain model is available." @default.
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- W2118970069 date "2012-07-01" @default.
- W2118970069 modified "2023-09-27" @default.
- W2118970069 title "SAR radargrammetry and scanning LiDAR in predicting forest canopy height" @default.
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- W2118970069 doi "https://doi.org/10.1109/igarss.2012.6352752" @default.
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