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基于Landsat8-OLI影像的近年太湖水生植被分布遥感监测 被引量:3

Remote Sensing Monitoring of Recent Taihu Lake Aquatic Vegetation Distribution based on Landsat8-OLI Images
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摘要 以4期Landsat8-OLI影像为数据源,使用决策树分类方法进行数据处理,对太湖(苏州辖区)2015~2017年、2019年水草生长期的水生植被分布进行遥感监测,监测结果表明:近年来绝大部分水生植被主要集中在东太湖、胥湖湾、贡湖湾以及沿岸带,水生植被覆盖的总面积在经历2015~2017年的连续缩减后于2019年有所回升;2015~2017年,挺水植物覆盖面积基本稳定,沉水植物和浮叶植物覆盖面积均出现不同幅度的缩减;2019年东太湖区域的水生植被分布较往年相比变化幅度较大,使整个湖区的水生植被分布出现大的变动。 Based on the Landsat8-OLI images of four phases as the data source and using the decision tree classification method for data processing,we conducted remote sensing monitoring on the distribution of aquatic vegetation in the growing season of water plants in Taihu Lake(under the jurisdiction of Suzhou)from 2015 to 2017 and 2019.The results showed that in recent years the majority of aquatic vegetation was mainly concentrated in East Taihu Lake,Xuhu bay,Gonghu bay and the coastal zone,the total cover area of aquatic vegetation rose in 2019 after the successive declines from 2015 to 2017.From 2015 to 2017,the cover area of upright plants was basically stable,while the cover area of submerged plants and floating plants all decreased different ranges.In 2019,the distribution of aquatic vegetation in East Taihu Lake changed dramatically compared with previous years,which caused great changes in the distribution of aquatic vegetation in the whole lake area.
作者 高昕 李继影 景明 陈瑜 GAO Xin;LI Ji-ying;JING Ming;CHEN Yu(Jiangsu Suzhou Environmental Monitoring Center,Suzhou 215004,China)
出处 《环境科技》 2020年第2期49-53,58,共6页 Environmental Science and Technology
基金 苏州市环保科技项目(A201901)。
关键词 遥感 水生植被分布 决策树分类 太湖 Remote sensing Distribution of aquatic vegetaion Decision tree classification Taihu Lake
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