中国科学数据（中英文网络版）2023，Vol.8Issue(4)：217-228,12.DOI:10.11922/11-6035.csd.2023.0094.zh
2003-2021年呼伦湖藻华数据集
A dataset of algal blooms in Hulun Lake from 2003 to 2021
摘要
Abstract
The presence of cyanobacteria blooms is an intuitive visual indicator of the eutrophication levels in lakes.It is of great importance to precisely assess the extent,coverage,location and other pertinent details of algal blooms and to monitor the eutrophication degree of water in real time,which is essential for ecological restoration and human life quality protection.Using MODIS Aqua satellite image as the primary data source,in the dataset we eliminated the influence of cloud,flare,aquatic vegetation,high turbidity water and other potential factors of interference in the extraction of algal blooms,calculated the algal bloom coverage at the individual pixel level,and finally obtained the data algal blooms in Hulun Lake spanning 19 years,from 2003 to 2021.The accuracy verification process generally met the stipulated requirements.The format of this dataset is*tif,which is compatible with GIS professional software for reading and editing.The dataset can provide data reference for professionals in the field,offering valuable data support for the ecological environment monitoring of Hulun Lake.关键词
蓝藻水华/呼伦湖/MODIS/长时序Key words
cyanobacteria blooms/Hulun Lake/MODIS/long time series引用本文复制引用
黄泽晖,许金朵,李含含,隗晓琪,马荣华..2003-2021年呼伦湖藻华数据集[J].中国科学数据（中英文网络版）,2023,8(4):217-228,12.基金项目
中国科学院网络安全和信息化专项"全球变化背景下中国区域湖泊响应数据库(CAS-WX2021SF-0306)"和"中国科学院南京地理与湖泊研究所科学数据中心(CAS-WX2022SDC-SJ05)".Network Security and Informatization Plan of Chinese Academy of Sciences(CAS-WX2021SF-0306) （CAS-WX2021SF-0306）
Scientific Data Center of Nanjing Institute of Geography &Limnology Chinese Academy of Sciences(CAS-WX2022SDC-SJ05). （CAS-WX2022SDC-SJ05）
