期刊
FORESTS
卷 10, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/f10100905
关键词
unmanned aerial vehicles (UAV); forest inventory; volume; canopy height model (CHM); object based image analysis (OBIA); structure from motion (SfM)
类别
资金
- Portuguese Science Foundation [PD/BD/128489/2017]
- Navigator company [RPJ17014]
- BioEcosys 'Forest ecosystem management decision-making methods an integrated bioeconomic approach to sustainability' - Fundacao para a Ciencia e a Tecnologia (FCT, Portugal) [LISBOA-01-0145-FEDER-030391 - PTDC/ASP-SIl/30391/2017]
- Fundação para a Ciência e a Tecnologia [PD/BD/128489/2017] Funding Source: FCT
Estimating forest inventory variables is important in monitoring forest resources and mitigating climate change. In this respect, forest managers require flexible, non-destructive methods for estimating volume and biomass. High-resolution and low-cost remote sensing data are increasingly available to measure three-dimensional (3D) canopy structure and to model forest structural attributes. The main objective of this study was to evaluate and compare the individual tree volume estimates derived from high-density point clouds obtained from airborne laser scanning (ALS) and digital aerial photogrammetry (DAP) in Eucalyptus spp. plantations. Object-based image analysis (OBIA) techniques were applied for individual tree crown (ITC) delineation. The ITC algorithm applied correctly detected and delineated 199 trees from ALS-derived data, while 192 trees were correctly identified using DAP-based point clouds acquired from Unmanned Aerial Vehicles (UAV), representing accuracy levels of respectively 62% and 60%. Addressing volume modelling, non-linear regression fit based on individual tree height and individual crown area derived from the ITC provided the following results: Model Efficiency (Mef) = 0.43 and 0.46, Root Mean Square Error (RMSE) = 0.030 m(3) and 0.026 m(3), rRMSE = 20.31% and 19.97%, and an approximately unbiased results (0.025 m(3) and 0.0004 m(3)) using DAP and ALS-based estimations, respectively. No significant difference was found between the observed value (field data) and volume estimation from ALS and DAP (p-value from t-test statistic = 0.99 and 0.98, respectively). The proposed approaches could also be used to estimate basal area or biomass stocks in Eucalyptus spp. plantations.
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