Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors

Overview of attention for article published in Forest Ecosystems, July 2020

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In the top 25% of all research outputs scored by Altmetric
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Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Citations

dimensions_citation: 39 Dimensions

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Summary X Dimensions citations

So far, Dimensions has found 39 publications that cite this research output.

39

The most recent citing publications are shown below. View all 39 publications that cite this research output on Dimensions.

Benchmarking Geometry-Based Leaf-Filtering Algorithms for Tree Volume Estimation Using Terrestrial LiDAR Scanners

Article in Remote Sensing (March 2024)

Computation of prediction intervals for forest aboveground biomass predictions using generalized linear models in a large-extent boreal forest region

Article in Forestry (March 2024)

Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests

Article in European Journal of Remote Sensing (February 2024)