Combining UAV and Sentinel-2 auxiliary data for forest growing stock volume estimation through hierarchical model-based inference

By Stefano Puliti, Svetlana Saarela, Terje Gobakken, Göran Ståhl, Erik Næsset. 2018

151 citations recorded by the source corpus.

Subfields: Environmental Engineering, Insect Science, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/91642118f454f9fd7fcdaad3f5568cb4ad0f63da

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In Environmental Engineering

1. Darius Phiri

Citations in the corpus

• Sentinel-2 Data for Land Cover/Use Mapping: A Review (2020, background): “The increasing combination of UAVs [146,147] and LiDAR [86,117] datasets with Sentinel-2 has shown promise and was highly accurate in describing different forest attributes.”