Remote estimates of CDOM using Sentinel-2 remote sensing data in reservoirs with different trophic states across China
Remote estimates of CDOM using Sentinel-2 remote sensing data in reservoirs with different trophic states across China
复制标题
利用Sentinel-2遥感数据对全国不同营养状态水库CDOM进行遥测
DOI：
10.1016/j.jenvman.2021.112275
复制
发表时间：
2021
影响因子：
8.7
通讯作者：
Xiangfei Yu
中科院分区：
文献类型：
--
作者：
Yingxin Shang;Ge Liu;Zhidan Wen;Pierre-André Jacinthe;Kaishan Song;Bai Zhang;Lili Lyu;Sijia Li;Xiang Wang;Xiangfei Yu
有色溶解性有机物（DOM）又称CDOM，它能影响地表沃茨的光学性质，是监测复杂内陆水体的重要参数。由于CDOM检索模型跨区域的可移植性差，使用遥感对CDOM进行大规模监测一直是一个挑战。为了克服这些困难，进行了研究，使用哨兵2图像，原位反射光谱数据，和水化学参数在中国各地的93个水库按营养状态分类。经验算法之间建立CDOM吸收系数CDOM（355）和反射率波段比（B5/B2，植被红边/蓝）获得原位和通过哨兵-2 MSI传感器。当按营养状态分别进行分析时，相关性更强（r 2 > 0.7，p < 0.05）。验证模型表明，通过考虑水库的营养状态和使用B5/B2波段比，可以扩大基于遥感的模型确定CDOM的地理范围。然而，模型验证的准确性下降，从贫营养（r 2：0.86）富营养化水库（r 2：0.82），可能是由于CDOM来源的复杂性增加，在营养丰富的系统。该研究为利用本地和遥感数据监测不同营养状态下水库中CDOM的空间变化提供了一种策略，将有助于水资源管理。·对水库CDOM反演的分类模型进行了标定。·应用Sentinel-2图像来验证模型和大气校正。·将分类模型应用于我国主要油气藏。
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 a CDOM (355) and reflectance band ratio (B5/B2,vegetation Red Edge/Blue) acquired in situ and via Sentinel-2 MSI sensors. Relationships are stronger (r 2 > 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 (r 2 : 0.86) to eutrophic reservoirs (r 2 : 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. • The classified models of CDOM retrieval in reservoirs were calibrated. • Sentinel-2 images were applied to validate the models and atmospheric correction. • The application of the classified models to main reservoirs in China were done.