当前位置: X-MOL 学术Remote Sens. Ecol. Conserv. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems
Remote Sensing in Ecology and Conservation ( IF 5.5 ) Pub Date : 2021-07-07 , DOI: 10.1002/rse2.228
Andrew M Cunliffe 1 , Karen Anderson 2 , Fabio Boschetti 1 , Richard E Brazier 1 , Hugh A Graham 1 , Isla H Myers-Smith 3 , Thomas Astor 4 , Matthias M Boer 5 , Leonor G Calvo 6 , Patrick E Clark 7 , Michael D Cramer 8 , Miguel S Encinas-Lara 9 , Stephen M Escarzaga 10 , José M Fernández-Guisuraga 6 , Adrian G Fisher 11 , Kateřina Gdulová 12 , Breahna M Gillespie 13 , Anne Griebel 5 , Niall P Hanan 14 , Muhammad S Hanggito 10 , Stefan Haselberger 15 , Caroline A Havrilla 16 , Phil Heilman 17 , Wenjie Ji 14 , Jason W Karl 18 , Mario Kirchhoff 19 , Sabine Kraushaar 15 , Mitchell B Lyons 20 , Irene Marzolff 21 , Marguerite E Mauritz 10 , Cameron D McIntire 22 , Daniel Metzen 5 , Luis A Méndez-Barroso 9 , Simon C Power 8 , Jiří Prošek 12 , Enoc Sanz-Ablanedo 23 , Katherine J Sauer 24 , Damian Schulze-Brüninghoff 4 , Petra Šímová 12 , Stephen Sitch 1 , Julian L Smit 25 , Caiti M Steele 14 , Susana Suárez-Seoane 26 , Sergio A Vargas 10 , Miguel Villarreal 27 , Fleur Visser 28 , Michael Wachendorf 4 , Hannes Wirnsberger 15 , Robert Wojcikiewicz 14
Affiliation  

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.

中文翻译:

无人飞行器摄影测量协议在非森林生态系统中预测地上生物量的全球应用

以灌木、草类和草本植物为主的非森林生态系统提供包括碳封存和放牧草料在内的生态系统服务,对气候变化高度敏感。然而,这些生态系统在遥感生物质产品中的代表性很差,并且在原位监测中采样不足。当前的全球变化威胁强调需要新的工具来以适当的规模捕捉非森林生态系统中的生物量变化。在这里,我们使用无人飞行器 (UAV) 图像开发并部署了一种新的摄影测量高度协议,以测试其在全球分布的现场实验中提供标准化生物量测量的能力。我们通过对 741 个收获地块进行 38 次摄影测量调查,对 50 个物种进行采样,评估了从无人机摄影测量推断的冠层高度是否允许预测低矮植物物种的地上生物量 (AGB)。我们发现平均冠层高度可以强烈预测物种间的 AGB,中位数调整R 2为 0.87(范围从 0.46 到 0.99),留一法交叉验证的中值预测误差为 3.9%。单位高度的生物量在内部相似但在之间不同,植物功能类型。我们发现,在调查期间,冠层高度的摄影测量重建对风速敏感,但对太阳高度不敏感。我们证明了我们的摄影测量方法在生长形式和环境环境中产生了可推广的测量结果,并且产生的精度与从原位方法获得的精度一样好。我们证明,使用无人机摄影测量的标准化方法可以在广泛的动态和异构生态系统中提供准确的 AGB 估计。许多学术和土地管理机构具有在 1-10 公顷范围内部署这些方法的技术能力-1. 摄影测量方法可以提供校准和验证植被模型和卫星衍生的生物质产品所需的急需信息,这对于了解全球脆弱和未被充分研究的非森林生态系统至关重要。
更新日期:2021-07-07
down
wechat
bug