2020
DOI: 10.1101/2020.07.16.206011
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Drone-derived canopy height predicts biomass across non-forest ecosystems globally

Abstract: Non-forest ecosystems, dominated by shrubs, grasses and herbaceous plants, provide ecosystem services including carbon sequestration and forage for grazing, yet 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 emphasise the need for new tools to capture biomass change in non-forest ecosystems at appropriate scales. Here we assess whether canopy height inferred from … Show more

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Cited by 3 publications
(2 citation statements)
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References 64 publications
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“…Drone-based assessments of patchiness, and above-ground biomass (e.g. Cunliffe et al, 2020;Eames et al, 2021), show great promise in providing more cost-effective and spatially comprehensive pre-and post-fire parameter assessments than have been available hitherto.…”
Section: Savanna Emissions Abatement Technical Feasibilitymentioning
confidence: 99%
“…Drone-based assessments of patchiness, and above-ground biomass (e.g. Cunliffe et al, 2020;Eames et al, 2021), show great promise in providing more cost-effective and spatially comprehensive pre-and post-fire parameter assessments than have been available hitherto.…”
Section: Savanna Emissions Abatement Technical Feasibilitymentioning
confidence: 99%
“…This suggests that high-spatial resolution lidar or structure-from-motion remote sensing estimates of vegetation structure are useful for estimating biomass patterns (Cunliffe et al 2020b;Greaves et al 2017Greaves et al , 2016. However, vegetation structure quantification of mosses and densely growing graminoids is difficult with structure-from-motion or lidar (Cunliffe et al 2020a), and according to our results, mosses and graminoids form a considerable fraction of the total biomass in northern treeless landscapes.…”
Section: Biomass Field Observationsmentioning
confidence: 55%