RT info:eu-repo/semantics/article
T1 Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non‐forest ecosystems
A1 Cunliffe, Andrew M.
A1 Anderson, Karen
A1 Boschetti, Fabio
A1 Brazier, Richard E.
A1 Graham, Hugh A.
A1 Myers‐Smith, Isla H.
A1 Astor, Thomas
A1 Boer, Matthias M.
A1 Calvo Galván, María Leonor
A1 Clark, Patrick E.
A1 Cramer, Michael D.
A1 Encinas‐Lara, Miguel S.
A1 Escarzaga, Stephen M.
A1 Fernández Guisuraga, José Manuel
A1 Fisher, Adrian G.
A1 Gdulová, Kateřina
A1 Gillespie, Breahna M.
A1 Griebel, Anne
A1 Hanan, Niall P.
A1 Hanggito, Muhammad S.
A1 Haselberger, Stefan
A1 Havrilla, Caroline A.
A1 Heilman, Phil
A1 Ji, Wenjie
A1 Karl, Jason W.
A1 Kirchhoff, Mario
A1 Kraushaar, Sabine
A1 Lyons, Mitchell B.
A1 Marzolff, Irene
A1 Mauritz, Marguerite E.
A1 McIntire, Cameron D.
A1 Metzen, Daniel
A1 Méndez‐Barroso, Luis A.
A1 Power, Simon C.
A1 Prošek, Jiří
A1 Sanz Ablanedo, Enoc
A1 Sauer, Katherine J.
A1 Schulze‐Brüninghoff, Damian
A1 Šímová, Petra
A1 Sitch, Stephen
A1 Smit, Julian L.
A1 Steele, Caiti M.
A1 Suárez Seoane, Susana
A1 Vargas, Sergio A.
A1 Villarreal, Miguel
A1 Visser, Fleur
A1 Wachendorf, Michael
A1 Wirnsberger, Hannes
A1 Wojcikiewicz, Robert
A2 Ecologia
K1 Ecología. Medio ambiente
K1 Ingeniería forestal
K1 Canopy height model
K1 Drone
K1 Fine spatial resolution remote sensing
K1 Plant height
K1 Structure-from-motion photogrammetry
K1 Unoccupied Aerial Vehicle Data Quantify Aboveground Biomass
K1 UAV
K1 3308 Ingeniería y Tecnología del Medio Ambiente
AB 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 R2 of 0.87 (ranging from 0.46 to 0.99) and median prediction error from leave-one-out cross-validation of 3.9%. Biomass per-unit-of-height was similar within but different among, plant functional types. We found that photogrammetric reconstructions of canopy height were sensitive to wind speed but not sun elevation during surveys. We demonstrated that our photogrammetric approach produced generalizable measurements across growth forms and environmental settings and yielded accuracies as good as those obtained from in situ approaches. We demonstrate that using a standardized approach for UAV photogrammetry can deliver accurate AGB estimates across a wide range of dynamic and heterogeneous ecosystems. Many academic and land management institutions have the technical capacity to deploy these approaches over extents of 1–10 ha−1. Photogrammetric approaches could provide much-needed information required to calibrate and validate the vegetation models and satellite-derived biomass products that are essential to understand vulnerable and understudied non-forested ecosystems around the globe.
PB Wiley
SN 2056-3485
LK http://hdl.handle.net/10612/13336
UL http://hdl.handle.net/10612/13336
NO P. 1-15
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 26-abr-2024