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

• Chl-a and TSM are key indicators of coastal health, influenced by climate change. • Study examines Tiber River’s impact on Chl-a and TSM in the Tyrrhenian Sea. • Sentinel-2 data is evaluated for estimating Chl-a and TSM in coastal regions. • The C2RCC-Net algorithm shows superior accuracy in estimating Chl-a and TSM. • Chl-a and TSM correlation reveals Tiber River’s positive influence on the region. 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 R 2 value of 0.903 for Chl-a and an R 2 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.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2024-09-14
DOI
https://doi.org/10.1016/j.jag.2024.104161
Citations
2
Primary Topic
Marine and environmental studies
Type
article
Field-Weighted Citation Impact
0.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Alice Madonia, Viviana Piermattei, Marco Marcelli, Dani Varghese
2 citations
International Journal of Applied Earth Observation and Geoinformation
Marine and environmental studies
0.96
article

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

Alice Madonia, Viviana Piermattei, Marco Marcelli, Dani Varghese
article en
2 citations

Abstract

• Chl-a and TSM are key indicators of coastal health, influenced by climate change. • Study examines Tiber River’s impact on Chl-a and TSM in the Tyrrhenian Sea. • Sentinel-2 data is evaluated for estimating Chl-a and TSM in coastal regions. • The C2RCC-Net algorithm shows superior accuracy in estimating Chl-a and TSM. • Chl-a and TSM correlation reveals Tiber River’s positive influence on the region. 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 R 2 value of 0.903 for Chl-a and an R 2 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.

International Journal of Applied Earth Observation and GeoinformationVol. 134
Università degli Studi della Tuscia (IT), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT)
Life below water
Openalex Percentile: Top 25%
Marine and environmental studies
0.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.