Sensing an intense phytoplankton bloom in the western Taiwan Strait from radiometric measurements on a UAV
Sensing an intense phytoplankton bloom in the western Taiwan Strait from radiometric measurements on a UAV
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通过无人机的辐射测量感知台湾海峡西部浮游植物的强烈繁殖
DOI：
10.1016/j.rse.2017.05.036
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发表时间：
2017-09
影响因子：
13.5
通讯作者：
Yan Jing
中科院分区：
文献类型：
--
作者：
Shang Shaoling;Lee Zhongping;Lin Gong;Hu Chuanmin;Shi Lianghai;Zhang Yongnian;Li Xueding;Wu Jingyu;Yan Jing
由于缺乏及时的船上测量以及当前海洋颜色卫星的空间分辨率，对海湾和河口藻华的快速评估一直很困难。机载测量可能会填补这一空白，但它们往往受到高成本和部署困难的阻碍。在这里，我们展示了低成本、低空无人机 (UAV) 评估台湾海峡西部围头湾的强烈浮游植物（球形棕囊藻）水华（叶绿素浓度范围为 7.3 至 45.6 mg/m3）的能力。无人机配备高光谱传感器，沿飞行轨迹每 30 m 距离测量 5 m 的水色。开发了一种新方法，可以从无人机传感器辐射测量中获取遥感反射率 (Rrs)。与同时和同地现场测量的 Rrs（共 14 个站）相比，无人机衍生的 Rrs 在 6 个 MODIS 波段（412-667 nm）的此类浑浊水域的均方根差异范围为 0.0028-0.0043 sr−1（相对差异约 20-32%）之间表现出合理的一致性。根据无人机衍生的 Rrs 进一步评估了水华的严重程度。对于水华水域，估计表面叶绿素浓度 (Chl) 范围为 6–98 mg/m3，是正常条件下叶绿素浓度的 3–50 倍。这项工作首次证明了从无人机高光谱测量中成功检索水色（即Rrs）和Chlin近岸环境，提倡使用无人机快速评估水质，特别是对于近岸或难以到达的水域，因为它具有灵活性、低成本、高空间分辨率和声音精度。
Rapid assessment of algal blooms in bays and estuaries has been difficult due to lack of timely shipboard measurements and lack of spatial resolution from current ocean color satellites. Airborne measurements may fill the gap, yet they are often hindered by the high cost and difficulty in deployment. Here we demonstrate the capacity of a low-cost, low-altitude unmanned aerial vehicle (UAV) in assessing an intense phytoplankton (Phaeocystis globosa) bloom (chlorophyll concentrations ranged from 7.3 to 45.6 mg/m3) in Weitou Bay in the western Taiwan Strait. The UAV was equipped with a hyperspectral sensor to measure the water color with a footprint of 5 m at every 30 m distance along the flight track. A novel approach was developed to obtain remote sensing reflectance (Rrs) from the UAV at-sensor radiometric measurements. Compared with concurrent and co-located field measuredRrs(14 stations in total), the UAV-derivedRrsshowed reasonable agreement with root mean square difference ranging 0.0028–0.0043 sr− 1(relative difference ~ 20–32%) of such turbid waters for the six MODIS bands (412–667 nm). The magnitude of the bloom was further evaluated from the UAV-derivedRrs. For the bloom waters, the estimated surface chlorophyllaconcentration (Chl) ranged 6–98 mg/m3, which is 3–50 times of theChlunder normal conditions. This effort demonstrates for the first time a successful retrieval of both water color (i.e.,Rrs) andChlin a nearshore environment from UAV hyperspectral measurements, which advocates the use of UAVs for rapid assessment of water quality, especially for nearshore or difficult-to-reach waters, due to its flexibility, low cost, high spatial resolution, and sound accuracy.
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影响因子：
1.4
作者：
L. Xie;Qingxiang Chen;Jianyu Hu;Shuwen Zhang;Xiaofei Yi;Fajin Chen;Rui Deng;Xiaodong Deng;Jing Wang;Y. Qi
通讯作者：
L. Xie;Qingxiang Chen;Jianyu Hu;Shuwen Zhang;Xiaofei Yi;Fajin Chen;Rui Deng;Xiaodong Deng;Jing Wang;Y. Qi
影响因子：
4.5
作者：
CARDER, KL;STEWARD, RG
通讯作者：
STEWARD, RG
MODIS 观测台湾海峡浮游植物动态：基于吸收的分析
影响因子：
4.9
作者：
Shang, S.;Dong, Q.;Lee, Z.;Li, Y.;Xie, Y.;Behrenfeld, M.
通讯作者：
Behrenfeld, M.
影响因子：
--
作者：
M. Tratani
通讯作者：
M. Tratani
影响因子：
8.2
作者：
B. Gao;M. Montes;Rong-Rong Li-Rong;H. Dierssen;C. Davis
通讯作者：
B. Gao;M. Montes;Rong-Rong Li-Rong;H. Dierssen;C. Davis