Presentation Details
内陆水库CDOM光学吸收遥感反演模型研究
ID：1935
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Updated Time：2021-06-20 11:20:42
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Oral Presentation
Start Time：2021-07-10 15:47（Asia/Shanghai）
Duration：12min
Session：S7D 7D、地理及地理信息科学 »
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Abstract
Chromophoric dissolved organic matter (DOM) is called as CDOM which could affect the optical properties of
surface waters, and is a useful parameter for monitoring complex inland aquatic systems. Large-scale monitoring
of CDOM using remote-sensing has been a challenge due to the poor transferability of CDOM retrieval models
across regions. To overcome these difficulties, a study is conducted using Sentinel-2 images, in situ reflectance
spectral data, and water chemical parameters at 93 water reservoirs across China classified by trophic state.
Empirical algorithms are established between CDOM absorption coefficient aCDOM(355) and reflectance band
ratio (B5/B2,vegetation Red Edge/Blue) acquired in situ and via Sentinel-2 MSI sensors. Relationships are
stronger (r2 > 0.7, p < 0.05) when analysis is conducted separately by trophic states. Validation models show
that, by accounting for trophic state of reservoirs and using B5/B2 band ratios, it is possible to expand the
geographical range of remote sensing-based models to determine CDOM. However, the accuracy of model
validation decreased from oligotrophic (r2 : 0.86) to eutrophic reservoirs (r2 : 0.82), likely due to increased
complexity of CDOM sources in nutrient-rich systems. This study provides a strategy for using local and remote
sensing data to monitor the spatial variations of CDOM in reservoirs based on different trophic states, and will
contribute to water resources management.
Keywords
内陆水库CDOM
Speaker
尚盈辛
助理研究员 中国科学院东北地理与农业生态研究所Submission Author
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Important Date
-
Conference Date
Jul 09
2021
toJul 11
2021
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May 30 2021
Abstract Submission Deadline
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May 30 2021
Draft paper submission deadline
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May 30 2021
Early Bird Registration
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Jul 10 2021
Registration deadline
-
Jul 11 2021
Contribution Submission Deadline
Sponsored By
青年地学论坛理事会
Organized By
中国科学院地球化学研究所
贵州大学
贵州大学
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