案例II水体叶绿素-a浓度估算的最佳策略以支持可持续发展目标

IF 2.8 3区地球科学 Q2 ASTRONOMY & ASTROPHYSICS

Advances in Space Research Pub Date : 2025-03-05 DOI:10.1016/j.asr.2025.03.003

Shang Tian , Xiaotong Zhu , Han Zhang , Hongwei Guo , Zijie Zhang , Jinhui Jeanne Huang

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引用次数: 0

摘要

估算Case-Ⅱ水体中叶绿素-a （Chl-a）浓度对于监测水质和支持可持续发展目标（SDG）至关重要。基于卫星的Chl-a浓度估计在很大程度上依赖于大气校正（AC）和反演模型。然而，由于大气和水组分之间复杂的相互作用，目前用于检索Case-Ⅱ水域遥感反射率的交流方法的准确性仍然不稳定。此外，交流方法中的不确定性带来的偏差加剧了Chl-a检索建模的不准确性。在本研究中，我们通过比较6种AC处理器（ACOLITE、SeaDAS、OC-SMART、iCOR、Polymer和Sen2cor）和5种生物光学模型（OC3、BDA_2、YA10、BDA_3和NDCI）的性能，提出了从Landsat-8和Sentinel-2数据中提取Chl-a的最佳策略。选择加拿大的西姆科湖来验证该优化策略的性能。结果表明，OC-SMART在处理Landsat和Sentinel-2数据时均表现出优于其他AC处理器的性能（RMSE≤0.0031 sr-1, MAE≤1.70,Bias≤1.60），其中NDCI在5种生物光学模型中表现最佳（MAE = 1.29, RMSE = 2.54 mg m - 3, Bias = 0.99, score = 88）。定量评分系统显示“OC-SMART - NDCI”策略对Chl-a检索的有效性，最高得分为88分。Simcoe湖Chl-a的时空分布表明，Simcoe湖的污染主要集中在湖的东部地区。自2007年生态保护政策措施实施以来，2022年锡姆科湖富营养化水平较1984年有明显下降。综上所述，本研究提出的联合检索策略可为揭示二类水域水质状况提供准确、实用的方法，为实现可持续发展目标提供技术支持。

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An optimal strategy for estimating chlorophyll-a concentration in case II waters to support sustainable development goals

Estimating chlorophyll-a (Chl-a) concentrations in Case-Ⅱ waters is essential for monitoring water quality and supporting Sustainable Development Goals (SDG). Satellite-based estimation of Chl-a concentration depends heavily on both atmospheric correction (AC) and retrieval modeling. However, the accuracy of current AC methods for retrieving remote sensing reflectance in Case-Ⅱ waters remains variable due to the complex interaction between atmospheric and water constituents. Furthermore, the bias introduced by uncertainties in AC methods fuels inaccuracies in Chl-a retrieval modeling. In this study, we propose an optimal strategy for retrieving Chl-a from Landsat-8 and Sentinel-2 data by comparing the performance of six AC processors (ACOLITE, SeaDAS, OC-SMART, iCOR, Polymer, and Sen2cor) and five bio-optical models (OC3, BDA_2, YA10, BDA_3, and NDCI). The Lake Simcoe in Canada was selected to validate the performance of this optimal strategy. The results demonstrated that OC-SMART exhibited superior performance compared to other AC processors for both Landsat and Sentinel-2 data (RMSE ≤ 0.0031 sr^-1, MAE ≤ 1.70, Bias ≤ 1.60), and the NDCI obtained the best performance among the five bio-optical models (MAE = 1.29, RMSE = 2.54 mg m⁻³, bias = 0.99 and score = 88). The quantitative scoring system showed that the effectiveness of “OC-SMART − NDCI” strategy for Chl-a retrieval, with the highest score of 88. The spatial and temporal distribution of Chl-a in Lake Simcoe indicates that the pollution in Lake Simcoe was primarily concentrated in the eastern region of the lake. Since the implementation of ecological protection policies and measures in 2007, the eutrophication level of Lake Simcoe in 2022 has significantly decreased compared to 1984. Overall, the combined retrieval strategy proposed in this study can offer an accurate and practical method for revealing water quality status in Case-II waters, and providing technical support for achieving SDG goals.

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来源期刊

Advances in Space Research 地学天文-地球科学综合

CiteScore

5.20

自引率

11.50%

发文量

800

审稿时长

5.8 months

期刊介绍： The COSPAR publication Advances in Space Research (ASR) is an open journal covering all areas of space research including: space studies of the Earth''s surface, meteorology, climate, the Earth-Moon system, planets and small bodies of the solar system, upper atmospheres, ionospheres and magnetospheres of the Earth and planets including reference atmospheres, space plasmas in the solar system, astrophysics from space, materials sciences in space, fundamental physics in space, space debris, space weather, Earth observations of space phenomena, etc. NB: Please note that manuscripts related to life sciences as related to space are no more accepted for submission to Advances in Space Research. Such manuscripts should now be submitted to the new COSPAR Journal Life Sciences in Space Research (LSSR). All submissions are reviewed by two scientists in the field. COSPAR is an interdisciplinary scientific organization concerned with the progress of space research on an international scale. Operating under the rules of ICSU, COSPAR ignores political considerations and considers all questions solely from the scientific viewpoint.