基于HY-1C/D卫星数据的2021年黄海海域大型藻类时空分布特征分析  被引量:1

Spatial and temporal distribution characteristics of macroalgae in the Yellow Sea in 2021 based on HY-1C/D satellite data

在线阅读下载全文

作  者:商杰 赵铮 王炜荔 丁一 宋彦 SHANG Jie;ZHAO Zheng;WANG Weili;DING Yi;SONG Yan(North China Sea Marine Forecast and Hazard Mitigation Center of the Ministry of Natural Resources,Qingdao 266100,China;Shandong province marine ecologicalenvironment and Disaster Prevention Laboratory,Qingdao 266061,China)

机构地区:[1]自然资源部北海预报减灾中心,山东青岛266100 [2]山东省海洋生态环境与防灾减灾重点实验室,山东青岛266061

出  处:《海洋预报》2023年第5期90-97,共8页Marine Forecasts

基  金:国家重点研发计划(2022YFC3106005)。

摘  要:基于HY-1C/D(CZI)卫星遥感影像数据,利用归一化植被指数阈值判别方法提取大型藻类(浒苔绿潮)的分布和覆盖信息;结合实地考察,分析大型藻类的藻类构成与光谱信息特征;获取大型藻类灾害暴发时间、空间分布、密集度、漂移路径并对其分析。结果表明:2021年黄海海域大型藻类灾害最早发生于5月上旬,5月中旬-6月上旬进入发展期,6月中旬-7月上旬进入暴发期,7月中旬—8月下旬进入消亡期。从大型藻类的持续时间、时空分布、密集度变化等指标看,2021年黄海大型藻类分布面积和覆盖面积较大,发生时间较长,结束时间较晚。Based on HY-1C/D(CZI)satellite remote sensing data,normalized vegetation index threshold iscrimination method is used to extract the distribution and coverage information of macroalgae(Enteromorpha prolifera).The composition and spectral information characteristics of macroalgae are analyzed combined with field investigation.The occurrence time,spatial distribution,density and drift path of large algae disaster are obtained and analyzed.The results show that large-scale algae disaster in the Yellow Sea area in 2021 occurs in early May,develops between middle May and early June,blooms between middle June and early July,and perishes between middle July and late August.According to the duration,spatial and temporal distribution,and concentration changes of macroalgae,the distribution and coverage areas of macroalgae in the Yellow Sea in 2021 are relatively larger,the occurrence time is relatively longer,and the end time is relatively later.

关 键 词:大型藻类 浒苔 黄海 卫星遥感 

分 类 号:X55[环境科学与工程—环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象