沙尘天气激光雷达监测技术研究

doi:10.11707/j.1001-7488.20071205

Scientia Silvae Sinicae ›› 2007, Vol. 43 ›› Issue (12): 28-32.doi: 10.11707/j.1001-7488.20071205

Previous Articles Next Articles

Study on Dust Monitoring Technology Using Lidar

Zhang Huaiqing¹,Ju Hongbo¹,Chen Yongfu¹,Papayannis A²,Wang Pucai³

1. Research Institute of Resources and Information Techniques, CAF Beijing 100091;2. Laser Remote Sensing Laboratory, Physics Department, National Technical University of Athens, Zografou Greece 15780;3. Institute of Atmospheric Physics, Chinese Academy of Sciences Beijing 100029

Received:2007-04-20 Revised:1900-01-01 Online:2007-12-25 Published:2007-12-25

Abstract

Abstract:

In the paper, LB10-D200 lidar was used to continuously monitoring the atmosphere in Beijing during the April, 2006, and then to analyzed the collected data to reveal the vertical structure and movement of dust atmosphere. The E-BAM dust monitoring instrument, AERONET, MODIS and DREAM models were used to compare and analyze. The result was that: There were 10 days in April with the AOT more than 1,the highest reached 4. The results were consistent between lidar data and other monitoring methods. Lidar results could present the spatial-time structure of vertical dust layers. The dust AOT contributed about 60%～80% to the whole AOT.

Key words: lidar, dust, aerosols, optical thickness, monitoring

Zhang Huaiqing;Ju Hongbo;Chen Yongfu;Papayannis A;Wang Pucai. Study on Dust Monitoring Technology Using Lidar[J]. Scientia Silvae Sinicae, 2007, 43(12): 28-32.

[1]	Xia Yongjie, Pang Yong, Liu Luxia, Chen Bowei, Dong Bin, Huang Qingfeng. Forest Height Growth Monitoring of Cunninghamia lanceolata Plantation Using Multi-Temporal Aerial Photography with the Support of High Accuracy DEM [J]. Scientia Silvae Sinicae, 2019, 55(4): 108-121.
[2]	Song Yining, Liu Wenping, Luo Youqing, Zong Shixiang. Monitoring of Dead Trees in Forest Images Based on Linear Spectral Clustering [J]. Scientia Silvae Sinicae, 2019, 55(4): 187-195.
[3]	Geng Lin, Li Mingze, Fan Wenyi, Wang Bin. Individual Tree Structure Parameters and Effective Crown of the Stand Extraction Base on Airborn LiDAR Data [J]. Scientia Silvae Sinicae, 2018, 54(7): 62-72.
[4]	You Haotian, Xing Yanqiu, Peng Tao, Ding Jianhua. Research on the Effect of Side-Overlap between Airborne LiDAR Adjacent Swaths on the Coniferous Forest Structural Parameters Estimation [J]. Scientia Silvae Sinicae, 2018, 54(6): 109-118.
[5]	Li Yanmei, Chen Qibo, Wang Shaojun, Sun Yingdu, Yang Haozhou, Yang Siying. Effects of Leaf Surface Micro-morphology Structure on Leaf Dust-Retaining Ability of Main Greening Tree Species in Kunming City [J]. Scientia Silvae Sinicae, 2018, 54(5): 18-29.
[6]	Yu Haoliang, Tian Minghua, Shi Yinghe, Cheng Jingwei, Zhang Zhenyu. The Measuring Methods of Dependence on Foreign Trade of China's Wooden Forest Products and the Estimating after Measuring [J]. Scientia Silvae Sinicae, 2018, 54(5): 152-167.
[7]	Li Pinghao, Shen Xin, Dai Jinsong, Cao Lin. Comparisons and Accuracy Assessments of LiDAR-Based Tree Segmentation Approaches in Planted Forests [J]. Scientia Silvae Sinicae, 2018, 54(12): 127-136.
[8]	Xing Cheng, Ding Tao, Zhou Handong, Li Zhi, Wen Liang. Influence of Size and Shape Distribution on the Flowability of Particles Emitted during Panel Cutting and Paint Sanding [J]. Scientia Silvae Sinicae, 2018, 54(12): 142-148.
[9]	Li Huan, Li Mingze, Fan Wenyi, Wang Bin. Canopy Gap Structure Parameters Extraction Based on Light Detection and Ranging(LiDAR) [J]. Scientia Silvae Sinicae, 2018, 54(10): 98-107.
[10]	Zhou Haichuan. Air Pollution and Public Health:Evidence from Forests Absorb Smoke and Dust Emission in China [J]. Scientia Silvae Sinicae, 2017, 53(8): 120-131.
[11]	Zhang Yuxing, Wang Xuejun, Huang Guosheng, Dang Yongfeng, Chen Xinyun. Forest Area Remote Sensing Monitoring Using the Multi-Level Sampling Interpretation Approach [J]. Scientia Silvae Sinicae, 2017, 53(7): 94-104.
[12]	Liu Qingwang, Li Shiming, Li Zengyuan, Fu Liyong, Hu Kailong. Review on the Applications of UAV-Based LiDAR and Photogrammetry in Forestry [J]. Scientia Silvae Sinicae, 2017, 53(7): 134-148.
[13]	Mao Xuegang, Hou Jiyu, Fan Wenyi. Object-Based Automatic Recognition for Forest Gaps Using Aerial Image and LiDAR Data [J]. Scientia Silvae Sinicae, 2017, 53(11): 94-103.
[14]	Kalbinur Nurmamat, Ümüt Halik, Aliya Baidourela, Nasima Nasirdin. Characterization and Valuation of Dust Retention of the Main Species of Strect Trees in Aksu City [J]. Scientia Silvae Sinicae, 2017, 53(1): 101-107.
[15]	Duan Zhugeng, Xiao Huashun, Yuan Weixiang. Comparison of Interpolation Methods of Forest Canopy Height Model Using Discrete Point Cloud Data [J]. Scientia Silvae Sinicae, 2016, 52(9): 86-94.

Study on Dust Monitoring Technology Using Lidar

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments