UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China
文献类型：期刊论文
| 作者 | Jin, Xiao-Liang1,2; Liu, Yu1,2; Yu, Xiu-Bo1,2 |
| 刊名 | ECOLOGICAL INFORMATICS
 |
| 出版日期 | 2024-07-01 |
| 卷号 | 81页码:102574 |
| 关键词 | Above ground biomass Allometric growth equation Unmanned aerial vehicles Canopy height model (CHM) Pinus sylvestris |
| DOI | 10.1016/j.ecoinf.2024.102574 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The acquisition of high-resolution aboveground biomass (AGB) data cost-effectively and expeditiously represents a formidable challenge within the domain of current ecosystem surveillance. Plot-based inventory, the conventional approach for estimating and validating remote sensing data, is nonetheless costly and constrained in terms of spatial coverage. The expeditious advancements in unmanned-aerial-vehicle (UAV) technology furnish the potential to devise AGB equations that transcend traditional diameter-height-based equations alongside techniques for quantifying forest structural parameters through standard RGB aerial imagery. Since the canopy diameter ( CD ) and tree height ( H ) can be directly ascertained from UAV-derived datasets, biomass equations parameterized by CD and H may be more valuable. In the present investigation, we established AGB equations predicated on data procured from a UAV outfitted with a high-resolution RGB camera, specifically for planted sparsely Pinus sylvestris forest in central Inner Mongolia, China. Utilizing the aerial imagery, we generated the digital terrain model (DTM), digital surface model (DSM) and the digital orthophoto image (DOM). Then, the canopy height model (CHM) was obtained by subtracting DSM from DTM to extract the H and CD of individual trees. This methodology ' s CD ( R 2 = 0.85, RMSE = 0.203 m) and H ( R 2 = 0.77 and RMSE = 0.671 m) obtained closely mirrored the in-situ measurements. Six prospective AGB equations were constructed for the Pinus sylvestris forest, taking H and CD extracted from UAV aerial survey datasets as the dependent variables. The accuracy of the AGB estimation was appraised by employing extant allometric growth equations, which were parameterized using the ground-measured tree diameter at breast height ( DBH ) and H . The most efficacious biomass equation, predicated on H and CD data extracted from UAV aerial surveys, was delineated as W = 2 .3442 ( CD * H ) 0 . 9057 ( R 2 = 0.731, RMSE = 2.46 kg), thus presenting a convenient tool for estimating the AGB of sparse Pinus sylvestris forests in semi -arid locales. |
| WOS关键词 | AIRBORNE LIDAR ; TERRESTRIAL ECOSYSTEMS ; TREE DETECTION ; CANOPY HEIGHT ; VOLUME ; FIELD ; PHOTOGRAMMETRY ; INFORMATION ; TOPOGRAPHY ; INVENTORY |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:001217583800001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/205200]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Liu, Yu |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jin, Xiao-Liang,Liu, Yu,Yu, Xiu-Bo. UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China[J]. ECOLOGICAL INFORMATICS,2024,81:102574. |
| APA | Jin, Xiao-Liang,Liu, Yu,&Yu, Xiu-Bo.(2024).UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China.ECOLOGICAL INFORMATICS,81,102574. |
| MLA | Jin, Xiao-Liang,et al."UAV-RGB-image-based aboveground biomass equation for planted forest in semi-arid Inner Mongolia, China".ECOLOGICAL INFORMATICS 81(2024):102574. |
入库方式： OAI收割
来源：地理科学与资源研究所
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