Monitoring water level and volume changes of lakes and reservoirs in the Yellow River Basin using ICESat-2 laser altimetry and Google Earth Engine

Liu, Cong; Hu, Ronghai; Wang, Yanfen; Lin, Hengli; Zeng, Hongbin; Wu, Dongli; Liu, Zhigang; Dai, Yi; Song, Xiaoning; Shao, Changwei

doi:10.1016/j.jher.2022.07.005

Cited by 23 publications

(12 citation statements)

References 44 publications

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“…The validation results of ICESat-2 on the Tibetan Plateau are as follows: 1) Using water level data as the reference, the root mean square error (RMSE) of ICESat-2 on lakes larger than 10 km² is 0.06 m 35 . 2) When using water level station data as the reference, the RMSE of ICESat-2 on Qinghai Lake is 0.07 m 36 . 3) Using ground control points measured by a continuously operating reference system (CORS) as the reference, the RMSE of ICESat-2 on Qilian Mountain is 0.084 m 37 .…”

Section: Technical Validationmentioning

confidence: 99%

High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau

Chen,

Wang,

Che

et al. 2024

Sci Data

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Understanding elevation changes on the Tibetan Plateau is crucial to comprehend the changes in topography, landscape, climate, environmental conditions, and water resources. However, some of the current products that track elevation changes only cover specific surface types or limited areas, and others have low spatial resolution. We propose an algorithm to extract ICESat-2 crossover points dataset for the Tibetan Plateau, and form a dataset. The crossover points dataset has a density of 2.015 groups/km², and each group of crossover points indicates the amount of change in elevation before and after a period of time over an area of approximately 17 meters in diameter. Comparing ICESat-2 crossover points data with existing studies on glaciers and lakes, we demonstrated the reliability of the derived elevation changes. The ICESat-2 crossover points provide a refined data source for understanding high-spatial-resolution elevation changes on the Tibetan Plateau. This dataset can provide validation data for various studies that require high-precision or high-resolution elevation change data on the Tibetan Plateau.

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Section: Technical Validationmentioning

confidence: 99%

High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau

Chen,

Wang,

Che

et al. 2024

Sci Data

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“…Since climatic change and anthropogenic activities negatively impact their ecosystem functioning (Pi et al., 2022), lake water level monitoring can deliver information on the ecological status of a lake ecosystem and the drivers of change. Lake water level monitoring is necessary to understand and manage the benefits lakes provide to the environment and society (Chen et al., 2022; Kostianoy et al., 2022; Liu et al., 2022; Palomino et al., 2022). Yet, lake water level changes are often overlooked, in situ water level stations are unevenly distributed, and their number is declining worldwide due to expensive installation and maintenance and logistic difficulties, especially for small and remote lakes (Cooley et al., 2021; Oularé et al., 2022; Palomino et al., 2022; F. Xu et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Distinctive Patterns of Water Level Change in Swedish Lakes Driven by Climate and Human Regulation

Aminjafari,

Brown,

Frappart

et al. 2024

Water Resources Research

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Despite having approximately 100,000 lakes, Sweden has limited continuous gauged lake water level data. Although satellite radar altimetry (RA) has emerged as a popular alternative to measure water levels in inland water bodies, it has not yet been used to understand the large‐scale changes in Swedish lakes. Here, we quantify the changes in water levels in 144 lakes using RA data and in situ gauged measurements to examine the effects of flow regulation and hydroclimatic variability. We use data from several RA missions, including ERS‐2, ENVISAT, JASON‐1,2,3, SARAL, and Sentinel‐3A/B. We found that during 1995–2022, around 52% of the lakes exhibited an increasing trend and 43% a decreasing trend. Most lakes exhibiting an increasing trend were in the north of Sweden, while most lakes showing a decreasing trend were in the south. Regarding the potential effects of regulation, we found that unregulated lakes had smaller trends in water level and dynamic storage than regulated ones. While the seasonal patterns of water levels in the lakes in the north are similar in regulated and unregulated lakes, in the south, they differ substantially. This study highlights the need to continuously monitor lake water levels for adaptation strategies in the face of climate change and understand the downstream effects of water regulatory schemes.

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“…The literature review reveals that several studies have utilized remote sensing datasets in combination with the Google Earth Engine (GEE) platform to map and monitor long-term changes in water surfaces 45 – 47 . Several studies 48 – 50 have also explored the relationship between fundamental climatic variables (such as air temperature (AT), evapotranspiration (Eta), and precipitation) and water resources.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal monitoring of climate change impacts on water resources using an integrated approach of remote sensing and Google Earth Engine

Kazemi Garajeh,

Haji,

Tohidfar

et al. 2024

Sci Rep

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In this study, a data-driven approach employed by utilizing the product called JRC-Global surface water mapping layers V1.4 on the Google Earth Engine (GEE) to map and monitor the effects of climate change on surface water resources. Key climatic variables affecting water bodies, including air temperature (AT), actual evapotranspiration (ETa), and total precipitation, were analyzed from 2000 to 2021 using the temperature-vegetation index (TVX) and Moderate Resolution Imaging Spectroradiometer (MODIS) products. The findings demonstrate a clear association between global warming and the shrinking of surface water resources in the LUB. According to the results, an increase in AT corresponded to a decrease in water surface area, highlighting the significant influence of AT and ETa on controlling the water surface in the LUB (partial rho of − 0.65 and − 0.68, respectively). Conversely, no significant relationship was found with precipitation and water surface area (partial rho of + 0.25). Notably, the results of the study indicate that over the past four decades, approximately 40% of the water bodies in the LUB remained permanent. This suggests a loss of around 30% of the permanent water resources, which have transitioned into seasonal water bodies, accounting for nearly 13% of the total. This research provides a comprehensive framework for monitoring surface water resource variations and assessing the impact of climate change on water resources. It aids in the development of sustainable water management strategies and plans, supporting the preservation and effective use of water resources.

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Monitoring water level and volume changes of lakes and reservoirs in the Yellow River Basin using ICESat-2 laser altimetry and Google Earth Engine

Cited by 23 publications

References 44 publications

High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau

High spatial resolution elevation change dataset derived from ICESat-2 crossover points on the Tibetan Plateau

Distinctive Patterns of Water Level Change in Swedish Lakes Driven by Climate and Human Regulation

Spatiotemporal monitoring of climate change impacts on water resources using an integrated approach of remote sensing and Google Earth Engine

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