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基于多星遥感影像的太湖北部湖湾春季沉水植被分布动态监测
引用本文:侍昊,张婷,李旭文,牛志春,王甜甜,李杨.基于多星遥感影像的太湖北部湖湾春季沉水植被分布动态监测[J].环境监控与预警,2016,8(1):13-18.
作者姓名:侍昊  张婷  李旭文  牛志春  王甜甜  李杨
作者单位:1. 江苏省环境监测中心,江苏 南京,210036;2. 南京林业大学林学院,江苏 南京,210037;3. 南京师范大学虚拟地理环境教育部重点实验室,江苏 南京,210023
基金项目:江苏省环境监测基金资助项目(1416);高分辨率对地观测系统重大专项基金资助项目(05-Y30B02-9001-13/15-WX2);国家水体污染控制与治理科技重大专项基金资助项目(2012ZX07506003);江苏省普通高校研究生科研创新计划基金资助项目(KYLX15_0745)
摘    要:利用多星遥感影像动态监测了2015年春季太湖北部湖湾沉水植被分布的变化过程,并对水生植被遥感监测中的几个关键问题展开了探讨。决策树方法获取的水生植被分布结果表明,2015年4月28日太湖北部湖湾发现明显沉水植被分布面积约11.2 km~2,与2014年同期相比,新出现的较大面积沉水植被分布区域主要集中在田鸡山西和锡东水厂附近。提出应及时清理打捞,避免水生植被死亡腐烂,威胁水质安全。

关 键 词:遥感  沉水植被  动态监测  太湖
收稿时间:2015/7/31 0:00:00
修稿时间:2015/11/4 0:00:00

Dynamic Monitoring of Distribution of Submerged Vegetation in the North of Taihu Lake in Spring Based on Multi source Remote Sensing Images
SHI Hao,ZHANG Ting,LI Xu wen,NIU Zhi chun,WANG Tian tian,LI Yang.Dynamic Monitoring of Distribution of Submerged Vegetation in the North of Taihu Lake in Spring Based on Multi source Remote Sensing Images[J].Environmental Monitoring and Forewarning,2016,8(1):13-18.
Authors:SHI Hao  ZHANG Ting  LI Xu wen  NIU Zhi chun  WANG Tian tian  LI Yang
Abstract:The distribution and variation of submerged vegetation in the north of Taihu Lake in the spring of 2015 were monitored u-sing multi-source remote sensing images.This paper discussed the key problems in monitoring aquatic vegetation by using the tech -nique.The monitoring results acquired on 28th of April based on the decision tree method showed that the area of submerged vegeta -tion in the north of Taihu Lake was about 11.2 km 2 .Compared with the results obtained from the same period in 2014,the newly e-merged large areas of submerged vegetation were mainly concentrated near the west of Tianji Mountain and around of Xidong Water -works.It was suggested that submerged vegetation should be cleared away and salvaged timely to avoid the death and decay of aquat -ic vegetation,which posed threats to water quality .
Keywords:Remote sensing  Submerged vegetation  Dynamic monitoring  Taihu Lake
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