IGSNRR OpenIR
Modeling Aboveground Biomass in Hulunber Grassland Ecosystem by Using Unmanned Aerial Vehicle Discrete Lidar
Wang, Dongliang1,2; Xin, Xiaoping1; Shao, Quanqin2; Brolly, Matthew3; Zhu, Zhiliang4; Chen, Jin5
2017
Source PublicationSENSORS
ISSN1424-8220
Volume17Issue:1Pages:19
Corresponding AuthorXin, Xiaoping(xinxiaoping@caas.cn)
AbstractAccurate 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.
KeywordUAV lidar grasslands canopy height fractional cover aboveground biomass
DOI10.3390/s17010180
WOS KeywordWAVE-FORM LIDAR ; SALT-MARSH ; NORTHERN CHINA ; SMALL-FOOTPRINT ; CANOPY HEIGHT ; POINT CLOUDS ; TERRASAR-X ; VEGETATION ; FOREST ; RESOLUTION
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaChemistry ; Electrochemistry ; Instruments & Instrumentation
WOS SubjectChemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS IDWOS:000393021000179
PublisherMDPI AG
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/65032
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXin, Xiaoping
Affiliation1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Natl Hulunber Grassland Ecosyst Observat & Res St, Beijing 100081, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Univ Brighton, Sch Environm & Technol, Brighton BN2 4GJ, E Sussex, England
4.US Geol Survey, Reston, VA 20192 USA
5.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
Recommended Citation
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.
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