摘要
赤潮是我国常见的一类海洋灾害,对海洋环境、海洋旅游、人类健康都有较大威胁。遥感技术具有观测面积大、时效性强、数据综合性和可比性好等特点,是监测赤潮的有力手段。本研究使用Java EE(Java Platform Enterprise Edition)和SuperMap软件开发了一套基于WebGIS的赤潮遥感监测系统。该系统能够实现MODIS遥感数据的自动下载及参数提取,并基于已公开发表的赤潮识别算法,实现赤潮疑似区及其发生类型的识别。通过对近十年(2008-2017年)浙江近海MODIS遥感数据的回溯检验,共识别出413起疑似赤潮发生事件,与《全国灾害性海洋公报》中的相关记录对比识别率达到90%,且发生频次最高区域分布与相关监测部门历年统计结果具有良好的一致性。
Harmful algal blooms(HABs)is a type of common ocean disaster in coastal seas of China,which threatens human health,marine ecosystem and marine tourism.Remote sensing technology is one of the most reliable means to monitor HABs owe to its ability on large area observation,strong timeliness,good data comprehensiveness and comparability.A remote sensing monitoring system based on WebGIS is presented using Java EE(Java Platform Enterprise Edition)and SuperMap software to detect HABs.Reflectance parameters could be extracted from MODIS imagery automatically,and the suspected HABs areas could be identified along with the causative type by a published HABs detection algorithm.413 images are identified in the Zhejiang coastal sea between April and September during latest 10 years(2008-2017).Compared with the HABs events recorded in the National Disastrous Marine Bulletins,the recognition success rate of this system could up to 90%.Furthermore,a satisfied consistency on the distribution of the highest frequency areas of HABs is acchived according to marine and environmental protection monitoring departments over the years.
作者
朱杭杰
雷惠
潘玉良
黄备
邵君波
唐静亮
周斌
Zhu Hangjie;Lei Hui;Pan Yuliang;Huang Bei;Shao Junbo;Tang Jingliang;Zhou Bin(Institute of Remote Sensing and Earth Sciences,Hangzhou Normal University,Hangzhou 311121,China;Joint Laboratory of Marine Ecosystem Monitoring and Health Assessment,Zhoushan Zhejiang 316021,China;Zhejiang Provincial Zhoushan Marine Ecological Environmental Monitoring Station,Zhoushan Zhejiang 316021,China)
出处
《科技通报》
2020年第3期25-33,共9页
Bulletin of Science and Technology
基金
浙江省环保厅科研项目(2016A012)
