Tiber River-Driven Chlorophyll-a and Total Suspended Matter Dynamics and Their Impacts along the Central Tyrrhenian Sea Coast: A Sentinel-2 Approach

IF 7.6 Q1 REMOTE SENSING
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Abstract

Chlorophyll-a (Chl-a) and Total Suspended Matter (TSM) are key health indicators of the coastal ocean and seas. The former is linked to primary productivity, while the latter is associated with water quality; both are influenced by change in climate. Recent studies have highlighted a declining trend in Chl-a levels along the Mediterranean coastal region. River discharge plays an important role in regulating the coastal Chl-a concentration levels. The present research primarily focuses on understanding the significance of Tiber River −driven spatial dynamics of Chl-a and TSM along the central Tyrrhenian Sea coasts. The research also focuses on evaluating the applicability of Sentinel-2 and identifying a suitable method for estimating Chl-a and TSM from Sentinel-2. Neural networks and dark spectrum fitting techniques were applied using multiple algorithms to estimate the dynamic distribution of Chl-a and TSM driven by the Tiber River in the study area. Multiple statistical analyses were performed, and statistically significant relationships were observed. The Case-2 Regional Coast Colour Neural Network (C2RCC-Net) outperformed all other algorithms, with an R2 value of 0.903 for Chl-a and an R2 value of 0.966 for TSM. Furthermore, the present research also identified a positive pixel to pixel spatial correlation between Chl-a and TSM in all four seasons, highlighting the positive impact of Tiber River on maintaining Chl-a levels along the coasts of Tyrrhenian Sea. This stands in contrast with the negative trend seen in the Mediterranean scale.

台伯河驱动的叶绿素 a 和总悬浮物动态及其对第勒尼安海中部沿岸的影响:哨兵-2 方法
叶绿素 a(Chl-a)和总悬浮物(TSM)是沿岸海洋的关键健康指标。前者与初级生产力有关,后者与水质有关;两者都受到气候变化的影响。最近的研究表明,地中海沿岸地区的 Chl-a 含量呈下降趋势。河流排放量在调节沿岸 Chl-a 浓度水平方面发挥着重要作用。目前的研究主要侧重于了解台伯河驱动的第勒尼安海中部沿岸 Chl-a 和 TSM 空间动态的重要意义。研究还侧重于评估哨兵-2 的适用性,并确定从哨兵-2 估算 Chl-a 和 TSM 的合适方法。采用多种算法,应用神经网络和暗光谱拟合技术,估算研究区域台伯河驱动的 Chl-a 和 TSM 的动态分布。进行了多项统计分析,发现两者之间存在显著的统计关系。案例-2 区域海岸彩色神经网络(C2RCC-Net)的表现优于所有其他算法,Chl-a 的 R2 值为 0.903,TSM 的 R2 值为 0.966。此外,本研究还发现,在所有四个季节中,Chl-a 和 TSM 之间都存在像素到像素的正空间相关性,这凸显了台伯河对维持第勒尼安海沿岸 Chl-a 水平的积极影响。这与地中海范围内的负趋势形成了鲜明对比。
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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