Detecting subsurface phytoplankton layer in Qiandao Lake using shipborne lidar

被引:30
作者
Chen, Peng [1 ]
Mao, Zhihua [1 ]
Zhang, Zhenhua [1 ]
Liu, Hang [1 ]
Pan, Delu [1 ]
机构
[1] Minist Nat Resources, State Key Lab Satellite Ocean Environm Dynam, Inst Oceanog 2, 36 Bochubeilu, Hangzhou 310012, Peoples R China
基金
中国国家自然科学基金; 浙江省自然科学基金;
关键词
IN-SITU MEASUREMENTS; AIRBORNE LIDAR; PLANKTON LAYERS; PARAMETERS; TURBIDITY; BAY;
D O I
10.1364/OE.381617
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Qiandao Lake is located in the northern edge of subtropics, and its water body is thermally stratified in summer. It is of great scientific significance to study the vertical physical and chemical indexes and phytoplankton characteristics of the Qiandao Lake to reveal the aquatic ecosystem structure of the thermally stratified lake. Conventional observation uses in-situ profile instruments, which is time consuming and labor intensive. In recent years, lidar has shown increasing oceanic applications; however, it has not yet been extensively applied in inland water. There are no studies using lidar for detecting subsurface plankton layer in Qiandao Lake. In this study, we investigated the applicability of this technology for identifying subsurface plankton layer. A simple and fast phytoplankton layer detection method was introduced. The lidar-detected layer was found to well correspond with that of the in-situ measured subsurface chlorophyll maximum layer (SCML) and phycocyanin maximum layer. Primary results show that lidar and our detection method are effective for subsurface phytoplankton layer detection. They can serve as a good monitoring tool for studying inland water stratification. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
引用
收藏
页码:558 / 569
页数:12
相关论文
共 32 条
[1]  
Arnone R., 2012, SPIE C SERIES
[2]  
Behrenfeld MJ, 2017, NAT GEOSCI, V10, P118, DOI [10.1038/NGEO2861, 10.1038/ngeo2861]
[3]   Measurement of the lightscattering layers structure and detection of the dynamic processes in the upper ocean layer by shipborne lidar [J].
Bukin, OA ;
Major, AY ;
Pavlov, AN ;
Shevtsov, BM ;
Kholodkevich, ED .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (04) :707-715
[4]   Ocean Optical Profiling in South China Sea Using Airborne LiDAR [J].
Chen, Peng ;
Pan, Delu .
REMOTE SENSING, 2019, 11 (15)
[5]   A Feasible Calibration Method for Type 1 Open OceanWater LiDAR Data Based on Bio-Optical Models [J].
Chen, Peng ;
Pan, Delu ;
Mao, Zhihua ;
Liu, Hang .
REMOTE SENSING, 2019, 11 (02)
[6]   Semi-Analytic Monte Carlo Model for Oceanographic Lidar Systems: Lookup Table Method Used for Randomly Choosing Scattering Angles [J].
Chen, Peng ;
Pan, Delu ;
Mao, Zhihua ;
Liu, Hang .
APPLIED SCIENCES-BASEL, 2019, 9 (01)
[7]   Semi-analytic Monte Carlo radiative transfer model of laser propagation in inhomogeneous sea water within subsurface plankton layer [J].
Chen, Peng ;
Pan, Delu ;
Mao, Zhihua ;
Liu, Hang .
OPTICS AND LASER TECHNOLOGY, 2019, 111 :1-5
[8]   Detection of water quality parameters in Hangzhou Bay using a portable laser fluorometer [J].
Chen, Peng ;
Pan, Delu ;
Mao, Zhihua ;
Tao, Bangyi .
MARINE POLLUTION BULLETIN, 2015, 93 (1-2) :163-171
[9]   Fluorescence measured using a field-portable laser fluorometer as a proxy for CDOM absorption [J].
Chen, Peng ;
Pan, Delu ;
Mao, Zhihua .
ESTUARINE COASTAL AND SHELF SCIENCE, 2014, 146 :33-41
[10]   Development of a portable laser-induced fluorescence system used for in situ measurements of dissolved organic matter [J].
Chen, Peng ;
Pan, Delu ;
Mao, Zhihua .
OPTICS AND LASER TECHNOLOGY, 2014, 64 :213-219