Landsat-Derived Forel–Ule Index in the Three Gorges Reservoir over the Past Decade: Distribution, Trend, and Driver

Water color is an essential indicator of water quality assessment, and thus water color remote sensing has become a common method in large-scale water quality monitoring. The satellite-derived Forel-Ule index (FUI) can actually reflect the comprehensive water color characterization on a large scale; however, the spatial distribution and temporal trends in water color and their drivers remain prevalently elusive. Using the Google Earth Engine platform, this study conducts the Landsat-derived FUI to track the complicated water color dynamics in a large reservoir, i.e., the Three Gorges Reservoir (TGR), in China over the past decade. The results show that the distinct patterns of latitudinal FUI distribution are found in the four typical TGR tributaries on the yearly and monthly scales, and the causal relationship between heterogeneous FUI trends and natural/anthropogenic drivers on different temporal scales is highlighted. In addition, the coexistence of phytoplankton bloom and summer flood in the TGR tributaries has been revealed through the hybrid representation of greenish and yellowish schemes. This study is an important step forward in understanding the water quality change in a river-reservoir ecosystem affected by complex coupling drivers on a large spatiotemporal scale.

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Publication Details

Journal
Sensors
Published
2024-11-22
DOI
https://doi.org/10.3390/s24237449
Citations
2
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.40

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article

Landsat-Derived Forel–Ule Index in the Three Gorges Reservoir over the Past Decade: Distribution, Trend, and Driver

Ling Wu, Lei Feng, Yao Wang, Botian Zhou et al.
2 citations
Sensors
Hydrology and Watershed Management Studies
0.40
article

Landsat-Derived Forel–Ule Index in the Three Gorges Reservoir over the Past Decade: Distribution, Trend, and Driver

Ling Wu, Lei Feng, Yao Wang, Botian Zhou, Jing’an Shao, Muye Gan, Meiling Liu
article en
2 citations

Abstract

Water color is an essential indicator of water quality assessment, and thus water color remote sensing has become a common method in large-scale water quality monitoring. The satellite-derived Forel-Ule index (FUI) can actually reflect the comprehensive water color characterization on a large scale; however, the spatial distribution and temporal trends in water color and their drivers remain prevalently elusive. Using the Google Earth Engine platform, this study conducts the Landsat-derived FUI to track the complicated water color dynamics in a large reservoir, i.e., the Three Gorges Reservoir (TGR), in China over the past decade. The results show that the distinct patterns of latitudinal FUI distribution are found in the four typical TGR tributaries on the yearly and monthly scales, and the causal relationship between heterogeneous FUI trends and natural/anthropogenic drivers on different temporal scales is highlighted. In addition, the coexistence of phytoplankton bloom and summer flood in the TGR tributaries has been revealed through the hybrid representation of greenish and yellowish schemes. This study is an important step forward in understanding the water quality change in a river-reservoir ecosystem affected by complex coupling drivers on a large spatiotemporal scale.

SensorsVol. 24(23)
Chongqing Normal University (CN), China University of Geosciences (Beijing) (CN), Chongqing Institute of Green and Intelligent Technology (CN)
National Natural Science Foundation of China
Clean water and sanitation
Openalex Percentile: Top 37%
Hydrology and Watershed Management Studies
0.40
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Landsat-Derived Forel–Ule Index in the Three Gorges Reservoir over the Past Decade: Distribution, Trend, and Driver — Ling Wu, Lei Feng, et al. · Sensors (2024) | TGRS Research Map | TGRS