Detection of Yunnan Pine Shoot Beetle Stress Using UAV-Based Thermal Imagery and LiDAR
文献类型：期刊论文
| 作者 | Wang, Jingxu4; Meng, Shengwang1; Lin, Qinnan5; Liu, Yangyang2; Huang, Huaguo3 |
| 刊名 | APPLIED SCIENCES-BASEL
 |
| 出版日期 | 2022-05-01 |
| 卷号 | 12期号:9页码:14 |
| 关键词 | forest infestation shoot damage ratio thermal infrared imagery LiDAR LAI |
| DOI | 10.3390/app12094372 |
| 通讯作者 | Huang, Huaguo(huaguo_huang@bifu.edu.cn) |
| 英文摘要 | Infestations of Tomicus spp. have caused the deaths of millions of Yunnan pine forests in Southwest China; consequently, accurate monitoring methods are required to assess the damage caused by these pest insects at an early stage. Considering the limited sensitivity of optical reflectance on the early stage of beetle stress, the potential of thermal infrared (TIR) can be exploited for monitoring forest health on the basis of the change of canopy surface temperature (CST). However, few studies have investigated the impact of the leaf area index (LAI) on the accuracy of TIR data-based SDR assessments. Therefore, the current study used unmanned airborne vehicle (UAV)-based TIR and light detection and ranging (LiDAR) data to assess the capacity of determining the potential for using TIR data for determining SDR under different LAI conditions. The feasibility of using TIR for monitoring SDRs at the tree level and plot scales were analyzed using the relationship between SDR and canopy temperature. Results revealed that: (1) prediction accuracy of SDR from CST is promising at high LAI values and decreases quickly with LAI, and is higher at the single tree scale (R-2 = 0.7890) than at the plot scale (R-2 = 0.5532); (2) at either single tree or plot scale, a significant negative correlation can be found between CST and LAI (-0.9121 at tree scale and -0.5902 at plot scale); (3) LAI affects the transmission paths of sunlight and sensor, which mainly disturbs the relationship between CST and SDR. This article evaluated the high possibility of using TIR data to monitor SDRs at both tree and plot levels and assessed the negative impact of a low LAI (<1) on the relationship between temperature and SDR. Accordingly, when measuring forest health using TIR data, additional data sources are required to eliminate the negative impact of low LAIs and to improve the monitoring accuracy. |
| WOS关键词 | HYPERSPECTRAL IMAGERY ; CANOPY TEMPERATURE ; IPS-TYPOGRAPHUS ; DAMAGE ; FOREST ; TREE ; SPRUCE ; SENSITIVITY ; PREDICTION ; OUTBREAK |
| 资助项目 | National Natural Science Foundation of China[41571332] ; Science and Technology Project of Henan Province[212102310024] ; Talents Training Program of the Henan Academy of Sciences[220401010] ; Special Project for Team Building of the Henan Academy of Sciences[200501007] |
| WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000796177200001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Science and Technology Project of Henan Province ; Talents Training Program of the Henan Academy of Sciences ; Special Project for Team Building of the Henan Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/177428]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Huaguo |
| 作者单位 | 1.Chinese Acad Sci, Qianyanzhou Ecol Res Stn, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.PIESAT Int Informat Technol Ltd, Beijing 100195, Peoples R China 3.Beijing Forestry Univ, Key Lab Silviculture & Conservat, Minist Educ, Beijing 100083, Peoples R China 4.Henan Acad Sci, Key Lab Remote Sensing & Geog Informat Syst Henan, Inst Geog, Zhengzhou 450000, Peoples R China 5.Zhejiang Agr & Forest Univ, State Key Lab Subtrop Silviculture, Hangzhou 311300, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jingxu,Meng, Shengwang,Lin, Qinnan,et al. Detection of Yunnan Pine Shoot Beetle Stress Using UAV-Based Thermal Imagery and LiDAR[J]. APPLIED SCIENCES-BASEL,2022,12(9):14. |
| APA | Wang, Jingxu,Meng, Shengwang,Lin, Qinnan,Liu, Yangyang,&Huang, Huaguo.(2022).Detection of Yunnan Pine Shoot Beetle Stress Using UAV-Based Thermal Imagery and LiDAR.APPLIED SCIENCES-BASEL,12(9),14. |
| MLA | Wang, Jingxu,et al."Detection of Yunnan Pine Shoot Beetle Stress Using UAV-Based Thermal Imagery and LiDAR".APPLIED SCIENCES-BASEL 12.9(2022):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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