首页|多年度同时相"星-地"协同遥感反演鄱阳湖叶绿素a浓度

多年度同时相"星-地"协同遥感反演鄱阳湖叶绿素a浓度

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作为长江最大的通江湖泊,鄱阳湖水生态安全影响着整个长江流域.叶绿素a浓度是水生态富营养化的重要指标,利用遥感技术开展叶绿素a浓度常规监测具有重要意义.以鄱阳湖为试验区,以表征富营养化程度的叶绿素a浓度为反演指标,基于2015-2020年6 a的观测数据以及Landsat系列影像,在规范建模时相以及"星-地"协同匹配的情况下,通过分析对比不同波段与叶绿素a浓度的相关指数,构建了适用于夏季鄱阳湖水体叶绿素a浓度反演模型.经6组独立数据验证后R2均值为0.86,RMSE均值为1.01 μg/L,MAPE均值为17.6%,认为所采用的方法可以较好地适用于鄱阳湖区夏季(丰水期)叶绿素a浓度的的反演,同时也为具备长期观测条件下内陆二类水体叶绿素a浓度监测提供了新的参考方法.
Retrieval of Chlorophyll-a Concentration in Poyang Lake by Using Multi-annual and Simultaneous Satellite-Ground Remote Sensing
Poyang Lake,situated in north-central Jiangxi Province,is the largest freshwater lake in China and con-nects to the Yangtze River.Given its size and location,the lake's water ecological security profoundly impacts the entire Yangtze River basin.Chlorophyll-a concentration serves as a crucial indicator of water ecological eutrophica-tion,underscoring the importance of routine remote sensing monitoring.This study focuses on Poyang Lake,using chlorophyll-a as a proxy for eutrophication.By analyzing six years of observation data(2015-2020)and LandSat images,a retrieval model for summer chlorophyll-a concentration in Poyang Lake was developed.This model em-ploys standard modeling techniques and ensures"satellite-ground"coordination to accurately match data.Through correlation analysis between various wavelength bands and chlorophyll-a concentration,the study constructs a robust retrieval model.Verification with six independent datasets yielded a mean R2 value of 0.86,RMSE of 1.01 μg/L,and MAPE of 17.6%.These results validate the efficacy of the method for chlorophyll-a retrieval in Poyang Lake and suggest its potential application as a reference for long-term monitoring of chlorophyll-a in similar inland ClassⅡ water bodies.

remote sensingPoyang lakechlorophyll-acorrelation analysis

郑璞、许新发、许小华、陈鑫雨、张任高

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江西省水利科学院,南昌 330029

江西省鄱阳湖流域生态水利技术创新中心,南昌 330029

中国水利水电科学研究院,北京 100038

东华理工大学测绘工程学院,南昌 330013

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遥感反演 鄱阳湖 叶绿素a 相关性分析

江西省科技厅重大科技研发专项江西省科技厅重点研发计划项目

20213AAG0101220212BBG71008

2024

长江科学院院报
长江科学院

长江科学院院报

CSTPCD北大核心
影响因子:0.618
ISSN:1001-5485
年,卷(期):2024.41(7)