Arcgis矢量图层符号化方法在绿潮分布显示中的应用

在绿潮卫星遥感业务化监测中,技术人员首先对绿潮卫星遥感影像进行解译,相关部门以解译结果作为参考制定绿潮处置决策。然而传统的绿潮解译结果仅显示绿潮的分布范围,在绿潮的密集度方面没有体现,导致无法判断海上绿潮分布的实际情况,为绿潮处置决策增加了难度,而目前鲜有学者对绿潮分布显示做相关研究。Arcgis矢量图层符号化方法是把符号化方案应用到目标图层上,文章运用该方法将绿潮斑块图层密集程度可视化,提高对绿潮灾害目视判读的合理性。...

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Bibliographic Details
Published in海洋开发与管理 Vol. 34; no. 4; pp. 38 - 40
Main Author 辛蕾 王宁 钟山 胡伟 孙青
Format Journal Article
LanguageChinese
Published 海洋出版社有限公司 28.04.2017
山东省海洋生态环境与防灾减灾重点实验室 青岛266061
国家海洋局北海预报中心 青岛266061
Subjects
Arcgis符号化
海洋环境
环境监测
绿潮
Arcgis符号化
绿潮
海洋环境
环境监测
Marine environment
Green tide
Arcgis Symbology
Environmental monitoring
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ISSN1005-9857

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Summary:在绿潮卫星遥感业务化监测中,技术人员首先对绿潮卫星遥感影像进行解译,相关部门以解译结果作为参考制定绿潮处置决策。然而传统的绿潮解译结果仅显示绿潮的分布范围,在绿潮的密集度方面没有体现,导致无法判断海上绿潮分布的实际情况,为绿潮处置决策增加了难度,而目前鲜有学者对绿潮分布显示做相关研究。Arcgis矢量图层符号化方法是把符号化方案应用到目标图层上,文章运用该方法将绿潮斑块图层密集程度可视化,提高对绿潮灾害目视判读的合理性。
Bibliography:Arcgis Symbology, Green tide, Marine environment, Environmental monitoring
During the satellite remote sensing monitoring of green tide, disposal decisions were made by technicians on the reference of interpreting results of satellite remote sensing image. However,traditional interpreting results only show the distribution range of green tide, but without intensity,which provide no not help to judge the real situation at the scene.Few studies were implemented to make the distribution of green tide display on the screen.This paper visualized the intensity of green tide on the screen by Apply Symbology from Layer of Arcgis, based on NDVI （Normalized Difference Vegetation Index）.
XIN Lei1,2 , WANG Ning1,2 , ZHONG Shan1,2 , HU Wei1,2 , SUN Qing1,2 （1.Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation, Qingdao 266061, China; 2. North China Sea Marine Forecast Center, SOA, Qingdao 266061 ,China）
11-3525/P
ISSN:1005-9857