摘 要:针对白洋淀水污染严重、水质监测手段不足等问题,充分利用遥感技术的大范围、长时序监测优势,基于哨兵 2号多光谱遥感影像,计算 2018 年—2020 年间白洋淀水域的植被指数,结合同时间段的叶绿素 a 地面监测数据,建立植被指数与白洋淀水质叶绿素 a 之间的关系模型,实现基于哨兵 2 号遥感影像的白洋淀叶绿素 a 监测。借助 2018—2022 年的哨兵 2 号长时序遥感数据,对白洋淀叶绿素 a 进行反演,进一步分析白洋淀 2018 年以来水质演变过程及原因。
关键词:哨兵 2 号;长时序;叶绿素 a
DOI:10.19850/j.cnki.2096-4706.2023.05.034
基金项目:国家重点研发计划课题(2021YFB3900603)
中图分类号:TP39;TP79 文献标识码:A 文章编号:2096-4706(2023)05-0141-04
Monitoring and Analysis of Water Quality Evolution in Baiyang Lake Based on Long Time Series Multispectral Remote Sensing Technology
ZHAO Lin
(China Water Resources Beifang Investigation, Design and Research Co., Ltd., Tianjin 300222, China)
Abstract: Aiming at the problems of serious water pollution and insufficient water quality monitoring means in Baiyang Lake, make full use of the advantages of remote sensing technology in large-scale and long time series monitoring. Based on Sentinel 2 multi-spectral remote sensing image, the vegetation index of Baiyang Lake water area from 2018 to 2020 is calculated, and the ground monitoring data of leaf chlorophyll a in the contract period is concluded, and the relationship model between the vegetation index and the water quality leaf chlorophyll a in Baiyang Lake is established, realize the monitoring of leaf chlorophyll a in Baiyang Lake based on Sentinel 2 remote sensing image. With the help of the long time series remote sensing data of Sentinel 2 from 2018 to 2022, the leaf chlorophyll a of Baiyang Lake is retrieved to further analyze the water quality evolution process and reasons of Baiyang Lake since 2018.
Keywords: sentinel 2; long time series; leaf chlorophyll a
参考文献:
[1] 赵永宏,邓祥征,战金艳,等 . 我国湖泊富营养化防治与控制策略研究进展 [J]. 环境科学与技术,2010,33(3):92-98.
[2] 代前程 . 基于多源遥感数据的南漪湖叶绿素 a 浓度反演及变化研究 [D]. 南京:南京信息工程大学,2022.
[3] 刘瑶,李俊生,肖晨超,等 . 资源一号 02D 高光谱影像内陆水体叶绿素 a 浓度反演 [J]. 遥感学报,2022,26(1):168-178.
[4] SHUCHMAN R,KOROSOV A,HATT C,et al. Verification and Application of a Bio-optical Algorithm for Lake Michigan Using SeaWiFS:a 7-year Inter-annual Analysis [J].Journal of Great LakesResearch,2006,32(2):258-279.
[5] 陶慜,段洪涛,齐琳,等 . 一种基于 MODIS 影像可业务化运行的巢湖水体叶绿素 a 估算算法 [J]. 湖泊科学,2015,27(6):1140-1150.
[6] 李苗,臧淑英,吴长山 . 基于 TM 影像的克钦湖叶绿素 a浓度反演 [J]. 农业环境科学学报,2012,31(12):2473-2479.
[7] 徐涵秋 . 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究 [J]. 遥感学报,2005(5):589-595.
[8] 郭超凡,陈雯璟,牛明艳,等 . 基于多植被指数模型的草地地上生物量协同估算 [J]. 干旱地区农业研究,2022,40(4):206-213.
作者简介:赵琳(1989—),女,汉族,山西长治人,工程师,硕士研究生,研究方向:水利遥感。