日本沿海水域叶绿素-a 监测的多传感器方法:由良河口案例研究

IF 2.2 3区 地球科学 Q2 OCEANOGRAPHY
Shweta Yadav, Yoh Yamashita, Yosuke Alexandre Yamashiki
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引用次数: 0

摘要

河口是世界上最富饶的生态系统之一,养育着各种动植物。浮游植物的初级生产力是有机碳的丰富来源,对水生食物网非常重要。监测浮游植物(即叶绿素-a)对于评估河口和其他持续遭受人为压力(如开发活动)的大陆架的健康状况至关重要。本研究开发了一种三元组合光谱分解算法(SDA),利用大地遥感卫星-8(30 米)和哨兵-2A(10 米)估算日本微潮汐有良河口的浮游植物。由于河口非浮游植物悬浮固体(NPSS)的影响有限,两种卫星传感器的末端成员水、浮游植物和沉水植被(SAV)的结果最好(R2 > 0.80)。叶绿素 a 被用作浮游植物的代用指标。Landsat-8 的估计均方根误差(RMSE)(RMSE = 0.187 µg/L)相对高于 Sentinel-2A(RMSE = 0.162 µg/L)。使用 Yura 河口的地面实况数据(26 个采样点)对结果进行了验证。此外,结果表明,除海岸线附近(约 6 微克/升)外,尤拉河河口的叶绿素-a 浓度较低(< 2 微克/升)。观测到的叶绿素-a 与浊度之间的拟合效果良好(R2 = 0.79),表明日本无潮河口的浊度以浮游植物为主。使用这两种传感器估计的最大浊度为 1.4 FTU,表明人类活动对 Yura 河口的影响较小。该研究证明了光谱分解算法(SDA)在沿岸水域的成功应用,可进一步用于评估河口水域浮游植物的水平和时间变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multi-sensor approach for chlorophyll-a monitoring in the coastal waters of Japan: a case study of the Yura Estuary

Multi-sensor approach for chlorophyll-a monitoring in the coastal waters of Japan: a case study of the Yura Estuary

Estuaries are one of the most productive ecosystems in the world, supporting a variety of flora and fauna. Primary productivity by phytoplankton is a rich source of organic carbon, substantial for the aquatic food web. Monitoring phytoplankton (i.e., chlorophyll-a) is essential to assess the health of estuaries and other continental shelves subjected to constant anthropogenic stress (e.g., developmental activities). In this study, a three-endmember combination Spectral Decomposition Algorithm (SDA) was developed to estimate the phytoplankton in the micro-tidal Yura estuary of Japan using Landsat-8 (30 m), and Sentinel − 2A (10 m). The endmember water, phytoplankton, and submerged aquatic vegetation (SAV) yielded the best results with both the satellite sensors (R2 > 0.80) owing to the limited influence of non-phytoplankton suspended solids (NPSS) in the estuary. Chlorophyll-a was used as the proxy for phytoplankton. The estimated root mean square error (RMSE) was relatively higher in Landsat-8 (RMSE = 0.187 µg/L) than the Sentinel-2A (RMSE = 0.162 µg/L). The results were validated using the ground truth data of the Yura Estuary (26 sampling points). Furthermore, the results indicate low chlorophyll-a concentration in the Yura estuary (< 2µg/L) except near the shorelines (~ 6 µg/L). A good fit (R2 = 0.79) between observed chlorophyll-a and turbidity indicated phytoplankton-dominated turbidity in the tide-less estuary of Japan. The estimated maximum turbidity was 1.4 FTU using both sensors, suggesting a low anthropogenic influence on the Yura Estuary. The study demonstrates a successful application of the spectral decomposition algorithm (SDA) in the coastal waters which could further be used to assess the horizontal and temporal variability in phytoplankton in estuarine water.

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来源期刊
Ocean Dynamics
Ocean Dynamics 地学-海洋学
CiteScore
5.40
自引率
0.00%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Ocean Dynamics is an international journal that aims to publish high-quality peer-reviewed articles in the following areas of research: Theoretical oceanography (new theoretical concepts that further system understanding with a strong view to applicability for operational or monitoring purposes); Computational oceanography (all aspects of ocean modeling and data analysis); Observational oceanography (new techniques or systematic approaches in measuring oceanic variables, including all aspects of monitoring the state of the ocean); Articles with an interdisciplinary character that encompass research in the fields of biological, chemical and physical oceanography are especially encouraged.
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