高分数据连续多时相南湾湖藻类污染监测  

Continuous multi-temporal monitoring of algae pollution in Nanwan Lake based on high score data

作　　者：文晔 王松妍 张欢 WEN Ye;WANG Songyan;ZHANG Huan(School of Architectural Engineering,City Institute,Dalian University of Technology,Dalian 116600,China;College of Land and Environment,Shenyang Agricultural University,Shenyang 110866,China;Liaoning Jinpeng Geographic Information Technology Co.,Ltd.,Shenyang 110000,China)

机构地区：[1]大连理工大学城市学院建筑工程学院,辽宁大连116600 [2]沈阳农业大学土地与环境学院,辽宁沈阳110866 [3]辽宁锦鹏地理信息科技有限公司,辽宁沈阳110000

出　　处：《测绘通报》2023年第4期1-5,15,共6页Bulletin of Surveying and Mapping

基　　金：2019年度辽宁省校外实验教育中心项目(辽教函[2020]21号)。

摘　　要：水藻污染影响水质,对生态环境造成显著破坏。在湖泊绿藻污染研究中,国产高分宽幅数据应用较少。本文综合利用高分一号、高分六号高光谱、宽幅数据,使用归一化植被指数和引入红边波段的归一化植被指数对南湾湖进行绿藻污染短时序监测,确定污染时间和范围演化。分析得到:(1)2020年7月20日,存在绿藻污染;(2)2020年8月2日和3日,无绿藻污染;(3)2020年8月4日、5日和9日,绿藻在下游某一弯道处有复发。南湾湖绿藻污染及复发情况与实际情况均符合,表明高分数据在短时序湖泊绿藻监测、提取准确率和效率等方面具备应用潜力。Algae pollution affects water quality and causes significant damage to the ecological environment.In the study of lake green algae pollution,domestic high-resolution and wide-range data are rarely applied.In this paper,the high-spectrum and wide-width data of GF-1 and GF-6 are comprehensively used to monitor the pollution of green algae in Nanwan Lake by using the normalized vegetation index and the normalized vegetation index introducing the red-edged band,and the pollution time and range evolution are determined.The analysis yielded:①On July 20,2020,there is green algae pollution.②On August 2 and 3,2020,there is no green algae pollution.③On August 4,5 and 9,2020,green algae recurred at a bend downstream.The pollution and recurrence of green algae in Nanwan Lake are consistent with the actual situation,indicating that the high-score data has potential for application in the monitoring,extraction accuracy and efficiency of green algae in short-time lakes.

关 键 词：湖泊水藻监测 NDVI 高分一号 高分六号 红边波段 

分 类 号：P237[天文地球—摄影测量与遥感]