UAV-LiDAR Measurement of Vegetation Canopy Structure Parameters and Their Impact on Land-Air Exchange Simulation Based on Noah-MP Model

被引:3
作者
Wu, Guotong [1 ]
You, Yingchang [1 ]
Yang, Yibin [2 ]
Cao, Jiachen [1 ]
Bai, Yujie [1 ]
Zhu, Shengjie [3 ]
Wu, Liping [1 ]
Wang, Weiwen [1 ]
Chang, Ming [1 ]
Wang, Xuemei [1 ]
机构
[1] Jinan Univ, Inst Environm & Climate Res, Guangdong Hongkong Macau Joint Lab Collaborat Inn, Guangzhou 511443, Peoples R China
[2] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510006, Peoples R China
[3] Guangdong Polytech Environm Protect Engn, Dept Environm Sci, Foshan 528216, Peoples R China
关键词
LiDAR; forest parameters; canopy structure; land surface modeling; SURFACE MODEL; AIRBORNE LIDAR; FOREST; SOIL; VARIABILITY; SENSITIVITY; SCHEME; STAND; NCEP;
D O I
10.3390/rs14132998
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Land surface processes play a vital role in the exchange of momentum, energy, and mass between the land and the atmosphere. However, the current model simplifies the canopy structure using approximately three to six parameters, which makes the representation of canopy radiation and energy distribution uncertain to a large extent. To improve the simulation performance, more specific canopy structure parameters were retrieved by a UAV-LiDAR observation system and updated into the multiparameterization version of the Noah land surface model (Noah-MP) for a typical forest area. Compared with visible-light photogrammetry, LiDAR retrieved a more accurate vertical canopy structure, which had a significant impact on land-air exchange simulations. The LiDAR solution resulted in a 35.0 similar to 48.0% reduction in the range of perturbations for temperature and another 27.8% reduction in the range of perturbations for moisture. This was due to the canopy structure affecting the radiation and heat fluxes of the forest, reducing their perturbation range by 7.5% to 30.1%. To reduce the bias of the land surface interaction simulation, it will be necessary to improve the method of retrieving the canopy morphological parameterization through UAV-LiDAR on a continued basis in the future.
引用
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页数:20
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