Remote observation of water clarity patterns in Three Gorges Reservoir and Dongting Lake of China and their probable linkage to the Three Gorges Dam based on Landsat 8 imagery

Ren, Jingli; Zheng, Zhuo; Li, Yunmei; Lv, Guonian; Wang, Qiao; Lyu, Heng; Huang, Changchun; Liu, Ge; Du, Chunyu; Mu, Meng; Lei, Shaohua; Bi, Shun

doi:10.1016/j.scitotenv.2018.01.036

Cited by 76 publications

(16 citation statements)

References 65 publications

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“…They found that the combined precipitation and anthropogenic impacts degraded water quality far more than either individual driver could on its own. At a basin scale, Ren et al (2018) [231] and Hou et al (2017) [232] conducted studies examining how the Three Gorges Reservoir affected water clarity and TSS dynamics in the Yangtze Basin. In the Peace-Athabasca Delta, Pavelsky and Smith (2009) [233] and Long and Pavelsky (2013) [234] utilized multi-temporal images of sediment loads to calculate river velocity and recharge for floodplain lakes.…”

Section: Pub Year Study Duration Study Scale Study Categorymentioning

confidence: 99%

Research Trends in the Use of Remote Sensing for Inland Water Quality Science: Moving Towards Multidisciplinary Applications

Topp

Pavelsky

Jensen

et al. 2020

Water

200

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Remote sensing approaches to measuring inland water quality date back nearly 50 years to the beginning of the satellite era. Over this time span, hundreds of peer-reviewed publications have demonstrated promising remote sensing models to estimate biological, chemical, and physical properties of inland waterbodies. Until recently, most of these publications focused largely on algorithm development as opposed to implementation of those algorithms to address specific science questions. This slow evolution contrasts with terrestrial and oceanic remote sensing, where methods development in the 1970s led to publications focused on understanding spatially expansive, complex processes as early as the mid-1980s. This review explores the progression of inland water quality remote sensing from methodological development to scientific applications. We use bibliometric analysis to assess overall patterns in the field and subsequently examine 236 key papers to identify trends in research focus and scale. The results highlight an initial 30 year period where the majority of publications focused on model development and validation followed by a spike in publications, beginning in the early-2000s, applying remote sensing models to analyze spatiotemporal trends, drivers, and impacts of changing water quality on ecosystems and human populations. Recent and emerging resources, including improved data availability and enhanced processing platforms, are enabling researchers to address challenging science questions and model spatiotemporally explicit patterns in water quality. Examination of the literature shows that the past 10–15 years has brought about a focal shift within the field, where researchers are using improved computing resources, datasets, and operational remote sensing algorithms to better understand complex inland water systems. Future satellite missions promise to continue these improvements by providing observational continuity with spatial/spectral resolutions ideal for inland waters.

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Section: Pub Year Study Duration Study Scale Study Categorymentioning

confidence: 99%

Research Trends in the Use of Remote Sensing for Inland Water Quality Science: Moving Towards Multidisciplinary Applications

Topp

Pavelsky

Jensen

et al. 2020

Water

200

View full text Add to dashboard Cite

show abstract

“…Validation of our data-driven remote sensing model (Figures 1, S6) indicates that it performs on par with existing regional remote sensing models developed using either traditional regression methods or semi-analytical modelling (12,37,38). However, unlike previous regional models that are only applicable to a specific scene, sensor, or area, the model presented here is Figure S4).…”

Section: Resultsmentioning

confidence: 80%

Multi-decadal improvement in U.S. lake water clarity

Topp¹,

Pavelsky²,

Stanley³

et al. 2020

Preprint

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“…Accordingly, all reviewed studies (∼10%) applied multispectral imagery and performed analyses at regional and subbasin scale, expect for one study covering the Amazon river basin [175]. Among these studies, ∼30% dealt with an estimation of water color, more specifically turbidity (e.g., [176][177][178][179]). Here, Massicotte et al [176] analyzed the spatial and temporal dynamics of water color at the St. Lawrence river using Landsat-TM/-ETM imagery over a period of 25 years.…”

Section: Hydrosphere: Water Qualitymentioning

confidence: 99%

“…In fact, they found a significant decrease in the reflectance of the river between 1984 and 2009, potentially caused by land use changes. In a further study, the impact of the Three Gorges dam on water clarity of the Yangtze river was evaluated [178]. To this aim, in situ Secchi disk depth, being a water clarity measure, and further spectral measurements were used together with Landsat-OLI imagery.…”

Section: Hydrosphere: Water Qualitymentioning

confidence: 99%

A Review of Earth Observation-Based Analyses for Major River Basins

Uereyen

Kuenzer

2019

Remote Sensing

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Regardless of political boundaries, river basins are a functional unit of the Earth’s land surface and provide an abundance of resources for the environment and humans. They supply livelihoods supported by the typical characteristics of large river basins, such as the provision of freshwater, irrigation water, and transport opportunities. At the same time, they are impacted i.e., by human-induced environmental changes, boundary conflicts, and upstream–downstream inequalities. In the framework of water resource management, monitoring of river basins is therefore of high importance, in particular for researchers, stake-holders and decision-makers. However, land surface and surface water properties of many major river basins remain largely unmonitored at basin scale. Several inventories exist, yet consistent spatial databases describing the status of major river basins at global scale are lacking. Here, Earth observation (EO) is a potential source of spatial information providing large-scale data on the status of land surface properties. This review provides a comprehensive overview of existing research articles analyzing major river basins primarily using EO. Furthermore, this review proposes to exploit EO data together with relevant open global-scale geodata to establish a database and to enable consistent spatial analyses and evaluate past and current states of major river basins.

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Remote observation of water clarity patterns in Three Gorges Reservoir and Dongting Lake of China and their probable linkage to the Three Gorges Dam based on Landsat 8 imagery

Cited by 76 publications

References 65 publications

Research Trends in the Use of Remote Sensing for Inland Water Quality Science: Moving Towards Multidisciplinary Applications

Research Trends in the Use of Remote Sensing for Inland Water Quality Science: Moving Towards Multidisciplinary Applications

Multi-decadal improvement in U.S. lake water clarity

A Review of Earth Observation-Based Analyses for Major River Basins

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