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Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar

文献类型：期刊论文

作者Wang, Dongliang4,5; Xin, Xiaoping4; Shao, Quanqin5; Brolly, Matthew1; Zhu, Zhiliang2; Chen, Jin3
刊名SENSORS
出版日期2017
卷号17期号:1页码:19
ISSN号1424-8220
关键词UAV lidar grasslands canopy height fractional cover aboveground biomass
DOI10.3390/s17010180
通讯作者Xin, Xiaoping(xinxiaoping@caas.cn)
英文摘要Accurate canopy structure datasets, including canopy height and fractional cover, are required to monitor aboveground biomass as well as to provide validation data for satellite remote sensing products. In this study, the ability of an unmanned aerial vehicle (UAV) discrete light detection and ranging (lidar) was investigated for modeling both the canopy height and fractional cover in Hulunber grassland ecosystem. The extracted mean canopy height, maximum canopy height, and fractional cover were used to estimate the aboveground biomass. The influences of flight height on lidar estimates were also analyzed. The main findings are: (1) the lidar-derived mean canopy height is the most reasonable predictor of aboveground biomass (R-2 = 0.340, root-mean-square error (RMSE) = 81.89 g.m(-2), and relative error of 14.1%). The improvement of multiple regressions to the R-2 and RMSE values is unobvious when adding fractional cover in the regression since the correlation between mean canopy height and fractional cover is high; (2) Flight height has a pronounced effect on the derived fractional cover and details of the lidar data, but the effect is insignificant on the derived canopy height when the flight height is within the range (<100 m). These findings are helpful for modeling stable regressions to estimate grassland biomass using lidar returns.
WOS关键词WAVE-FORM LIDAR ; SALT-MARSH ; NORTHERN CHINA ; SMALL-FOOTPRINT ; CANOPY HEIGHT ; POINT CLOUDS ; TERRASAR-X ; VEGETATION ; FOREST ; RESOLUTION
资助项目National Science Foundation of China[41471093] ; National Science Foundation of China[41501416] ; China Agriculture Research System[CARS-35] ; National Key Technology RD Program[2013BAC03B02] ; National Key Technology RD Program[2013BAC03B04] ; open foundation of Key Laboratory of Precise Engineering and Industry Surveying of the National Administration of Surveying, Mapping, and Geoinformation[PF2015-17]
WOS研究方向Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种英语
出版者MDPI AG
WOS记录号WOS:000393021000179
资助机构National Science Foundation of China ; China Agriculture Research System ; National Key Technology RD Program ; open foundation of Key Laboratory of Precise Engineering and Industry Surveying of the National Administration of Surveying, Mapping, and Geoinformation
源URL[http://ir.igsnrr.ac.cn/handle/311030/65031]  
专题中国科学院地理科学与资源研究所
通讯作者Xin, Xiaoping
作者单位1.Univ Brighton, Sch Environm & Technol, Brighton BN2 4GJ, E Sussex, England
2.US Geol Survey, Reston, VA 20192 USA
3.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
4.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Natl Hulunber Grassland Ecosyst Observat & Res St, Beijing 100081, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Dongliang,Xin, Xiaoping,Shao, Quanqin,et al. Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar[J]. SENSORS,2017,17(1):19.
APA Wang, Dongliang,Xin, Xiaoping,Shao, Quanqin,Brolly, Matthew,Zhu, Zhiliang,&Chen, Jin.(2017).Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar.SENSORS,17(1),19.
MLA Wang, Dongliang,et al."Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar".SENSORS 17.1(2017):19.

入库方式： OAI收割

来源：地理科学与资源研究所

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