摘要
以2009年8月中旬东湖支湖局部暴发蓝藻为案例,对蓝藻暴发前后三个时期的HJ-1卫星多光谱遥感影像数据进行对比分析,利用比值植被指数(RVI)、归一化植被指数(NDVI)以及增强型植被指数(EVI)三种植被指数对蓝藻信息进行判别提取,通过已验证的样本点率定判别方法阈值,并对三种植被指数精度及判别结果进行比较分析。结果表明,利用HJ-1遥感数据可快速鉴别蓝藻范围及其程度,大气校正突出了蓝藻水体和其他地物光谱差异,EVI方法精度较高,可剔去水质中泥沙等悬浮物的干扰,可作为城市湖泊蓝藻变化检测经验模型。
This paper uses the mid-August 2009 cyanobacteria blooms in East Lake as a case study to comparatively analyze three periods of the cyanobacteria bloom using HJ-1 satellite multi-spectral remote sensing data.Using RVI,NDVI and EVI index models to extract cyanobacteria information,we determined the thresholds of the three models using verified sampling points,then analyzed the accuracy of the three models and their discrimination of cyanobacteria blooms.The results show that HJ-1 remote sensing data can be used to quickly identify the range and extent of cyanobacteria blooms.Atmospheric correction highlighted the spectral difference of cyanobacteria and other features.The EVI method has high precision and can eliminate the interference of suspended solids such as sediment when assessing water quality,and it can be used for empirical detection of cyanobacteria in urban lakes.
作者
柳晶辉
万君
Liu Jinghui;Wan Jun(Wuhan Regional Climate Center,Wuhan,430074;Collaborative Innovation Center of Remote Sensing Technology in Ecological and Meteorological Monitoring in the Jianghan Plain,Jingzhou 434025)
出处
《气象科技进展》
2018年第5期91-95,100,共6页
Advances in Meteorological Science and Technology
基金
2018年中国气象局气候变化专项(CCSF201821)
关键词
遥感
蓝藻
HJ-1
东湖
多光谱
remote sensing
cyanobacteria
HJ-1
East Lake
multi-spectral
