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DOI | 10.1016/j.jag.2018.10.019 |
Estimating residual biomass of olive tree crops using terrestrial laser scanning | |
Fernández-Sarría A.; López-Cortés I.; Estornell J.; Velázquez-Martí B.; Salazar D. | |
发表日期 | 2019 |
ISSN | 15698432 |
起始页码 | 163 |
结束页码 | 170 |
卷号 | 75 |
英文摘要 | Agricultural residues have gained increasing interest as a source of renewable energy. The development of methods and techniques that allow to inventory residual biomass needs to be explored further. In this study, the residual biomass of olive trees was estimated based on parameters derived from using a Terrestrial Laser Scanning System (TLS). To this end, 32 olive trees in 2 orchards in the municipality of Viver, Central Eastern Spain, were selected and measured using a TLS system. The residual biomass of these trees was pruned and weighed. Several algorithms were applied to the TLS data to compute the main parameters of the trees: total height, crown height, crown diameter and crown volume. Regarding the last parameter, 4 methods were tested: the global convex hull volume, the convex hull by slice volume, the section volume, and the volume measured by voxels. In addition, several statistics were computed from the crown points for each tree. Regression models were calculated to predict residual biomass using 3 sets of potential explicative variables: firstly, the height statistics retrieved from 3D cloud data for each crown tree, secondly, the parameters of the trees derived from TLS data and finally, the combination of both sets of variables. Strong relationships between residual biomass and TLS parameters (crown volume parameters) were found (R 2 = 0.86, RMSE = 2.78 kg). The pruning biomass prediction fraction was improved by 6%, in terms of R 2 , when the variance of the crown-point elevations was selected (R 2 = 0.92, RMSE = 2.01 kg). The study offers some important insights into the quantification of residual biomass, which is essential information for the production of biofuel. © 2018 Elsevier B.V. |
英文关键词 | Cloud metrics; Convex hull; Residual biomass; TLS; Voxel |
语种 | 英语 |
scopus关键词 | algorithm; alternative energy; biofuel; biomass; computer simulation; crop plant; crop residue; estimation method; numerical model; Spain; Viver |
来源期刊 | International Journal of Applied Earth Observation and Geoinformation
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/156534 |
作者单位 | Dpto. Ing. Cartográfica, Geodesia y Fotogrametría, Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain; Dpto. Producción Vegetal, Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain; Dpto. Ing. Rural y Agroalimentaria, Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain |
推荐引用方式 GB/T 7714 | Fernández-Sarría A.,López-Cortés I.,Estornell J.,et al. Estimating residual biomass of olive tree crops using terrestrial laser scanning[J],2019,75. |
APA | Fernández-Sarría A.,López-Cortés I.,Estornell J.,Velázquez-Martí B.,&Salazar D..(2019).Estimating residual biomass of olive tree crops using terrestrial laser scanning.International Journal of Applied Earth Observation and Geoinformation,75. |
MLA | Fernández-Sarría A.,et al."Estimating residual biomass of olive tree crops using terrestrial laser scanning".International Journal of Applied Earth Observation and Geoinformation 75(2019). |
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