基于低空无人机搭载可见光近红外传感器的太湖蓝藻监测

传统卫星遥感手段因受其访问周期的限制，较难在时间频率上保证数据的及时性。低空无人机搭载轻小型传感器，以其机动、快速、经济等优势，在环境监测等领域日益发挥重要作用。面向太湖蓝藻监测需求，探索了一种基于低空无人机搭载可见光近红外传感器的监测方法。在系统规划和平台设计的基础上，选取太湖梅梁湖湖区进行试验。依据前人经验，采用可见光和近红外波段及其组合方式提取蓝藻信息，并与试验数据验证。该方法可为蓝藻灾害的防灾、减灾、救灾等提供辅助手段和决策支持。

Method of Monitoring Cyanobacteria in Taihu Lake Based on the Low Altitude UAV with Visible-near Infrared Sensor

Due to limitations of the access cycle, traditional means of satellite remote sensing is difficult to ensure the timeliness of data in time frequency. The low-altitude UnmannedAerialVehicle(UAV) equipped with a small light sensor, its maneuvers, rapid, economic and other advantages play an increasingly important role in the field of environmental monitoring. In order to meet monitoring requirements of cyanobacteria in TaihuLake, a visible-near infrared sensor monitoring method has been found based on the low-altitude UAV. On the basis of system planning and design platform, selecting Meiliang Lake area of Taihu lake to carry out the experiment. Based on previous experiences, using the Visible and Near Infrared Bands, and its combination, cyanobacteria linformation can be extracted, and verified with the experimental data. The method can provide auxiliary means and decision support for preventing and managing cyanobacteria disaster.