ArticleRemote sensing in ecology and conservation2022
Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems.
Article in Remote sensing in ecology and conservation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- UAV-based mangrove biomass estimation and carbon potential valuation in North Sumatra, Indonesia.Carbon balance and management · 2026Article
- Global Distribution and Dispersal Pathways of Riparian Invasives: Perspectives Using Alligator Weed (Plants (Basel, Switzerland) · 2026Review
- Drones in ecology: ten years back and forth.Bioscience · 2025Article
- Voxel Volumes and Biomass: Estimating Vegetation Volume and Litter Accumulation of Exotic Annual Grasses Using Automated Ultra-High-Resolution SfM and Advanced Classification Techniques.Ecology and evolution · 2025Article
- Review
- Livestock impacts on an iconic Namib Desert plant are mediated by abiotic conditions.Oecologia · 2022Article
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Authors and funding
49 authors.
Funding
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Abstract
Non-forest ecosystems, dominated by shrubs, grasses and herbaceous plants, provide ecosystem services including carbon sequestration and forage for grazing, and are highly sensitive to climatic changes. Yet these ecosystems are poorly represented in remotely sensed biomass products and are undersampled by in situ monitoring. Current global change threats emphasize the need for new tools to capture biomass change in non-forest ecosystems at appropriate scales. Here we developed and deployed a new protocol for photogrammetric height using unoccupied aerial vehicle (UAV) images to test its capability for delivering standardized measurements of biomass across a globally distributed field experiment. We assessed whether canopy height inferred from UAV photogrammetry allows the prediction of aboveground biomass (AGB) across low-stature plant species by conducting 38 photogrammetric surveys over 741 harvested plots to sample 50 species. We found mean canopy height was strongly predictive of AGB across species, with a median adjusted
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