Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery

@article{Vastaranta2014PredictionOF,
  title={Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery},
  author={Mikko Vastaranta and Mikko T. Niemi and Mika Karjalainen and Jussi Peuhkurinen and Ville Kankare and Juha Hyypp{\"a} and Markus Holopainen},
  journal={Remote Sensing},
  year={2014},
  volume={6},
  pages={3227-3246}
}
Consistent, detailed and up-to-date forest resource information is required for allocation of forestry activities and national and international reporting obligations. We evaluated the forest stand attribute prediction accuracy when radargrammetry was used to derive height information from TerraSAR-X stereo imagery. Radargrammetric elevations were normalized to heights above ground using an airborne laser scanning (ALS)-derived digital terrain model (DTM). Derived height metrics were used as… CONTINUE READING
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