Refining and densifying the water inundation area and storage estimates of Poyang Lake by integrating Sentinel-1/2 and bathymetry data

Song, Lijuan; Song, Chunqiao; Luo, Shuangxiao; Tan, Chen; Li, Kai; Li, Yunliang; Jing, Haitao; Xu, Jiahui

doi:10.1016/j.jag.2021.102601

Cited by 7 publications

(10 citation statements)

References 83 publications

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“…The Sentinel-2 dataset has a distinguished quality with a high spatial resolution of 10 m and multispectral sensors with 13 bands. The false color composition containing visual bands and near-infrared band decreases the difficulty of the visual interpretation by noticeably identifying the water from the vegetation areas, which will lead to a set of high-quality sample points [52,67]. We collected validation data from GEE with a cloud proportion lower than 5%.…”

Section: Validation Datamentioning

confidence: 99%

“…Sentinel-2 images with 10 m-resolution were utilized for visual interpretation of the sample points in water/nonwater classifications on the GEE platform. We utilized a confusion matrix to calculate accuracy metrics, which consisted of a cross-control sample count of the classification map and reference data [52,73,74]. The matrix was composed of four categories, namely, True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN).…”

Section: Evaluation Designmentioning

confidence: 99%

“…The matrix was composed of four categories, namely, True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN). In this study, four metrics were calculated to measure the accuracy: overall accuracy (OA), producer's accuracy (PA), user's accuracy (UA), and F 1 -Score (F 1 ) [52]. The metrics are calculated using the following expressions:…”

Section: Evaluation Designmentioning

confidence: 99%

“…Poyang Lake and Dongting Lake are the largest and second-largest lakes in China, both located in monsoonal regions and connected to Yangtze River, playing important roles in maintaining ecology balance and regulating runoff of the Yangtze River [52]. For these two lakes, prior studies have been performed focusing on monitoring surface water area variation using various data, and inundation frequency (IF) maps have been generated to discuss the change of the water [53][54][55][56]; however, there are still some limitations that should be studied further.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Surface Water Inundation of Poyang Lake and Dongting Lake in China Using Sentinel-1 SAR Images

et al. 2022

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High-temporal-resolution inundation maps play an important role in surface water monitoring, especially in lake sites where water bodies change tremendously. Synthetic Aperture Radar (SAR) that guarantees a full time-series in monitoring surface water due to its cloud-penetrating capability is preferred in practice. To date, the methods of extracting and analyzing inundation maps of lake sites have been widely discussed, but the method of extracting surface water maps refined by inundation frequency map and the distinction of inundation frequency map from different datasets have not been fully explored. In this study, we leveraged the Google Earth Engine platform to compare and evaluate the effects of a method combining a histogram-based algorithm with a temporal-filtering algorithm in order to obtain high-quality surface water maps. Both algorithms were conducted on Sentinel-1 images over Poyang Lake and Dongting Lake, the two largest lakes in China, respectively. High spatiotemporal time-series analyses of both lakes were implemented between 2017 and 2021, while the inundation frequency maps extracted from Sentinel-1 data were compared with those extracted from Landsat images. It was found that Sentinel-1 can monitor water inundation with a substantially higher accuracy, although minor differences were found between the two sites, with the overall accuracy for Poyang Lake (95.38–98.69%) being higher than that of Dongting Lake (95.05–97.5%). The minimum and maximum water areas for five years were 1232.96 km2 and 3828.36 km2 in Poyang Lake, and 624.7 km2 and 2189.17 km2 in Dongting Lake. Poyang Lake was frequently inundated with 553.03 km2 of permanent water and 3361.39 km2 of seasonal water while Dongting Lake was less frequently inundated with 320.09 km2 of permanent water and 2224.53 km2 of seasonal water. The inundation frequency maps from different data sources had R2 values higher than 0.8, but there were still significant differences between them. The overall inundation frequency values of the Sentinel-1 inundation frequency maps were lower than those of the Landsat inundation frequency maps due to the severe contamination from cloud cover in Landsat imagery, which should be paid attention in practical application.

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Section: Validation Datamentioning

confidence: 99%

Section: Evaluation Designmentioning

confidence: 99%

Section: Evaluation Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monitoring Surface Water Inundation of Poyang Lake and Dongting Lake in China Using Sentinel-1 SAR Images

et al. 2022

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“…These lakes are mainly targeted in the top largest lakes, such as Poyang Lake (Song and Ke, 2014;Mei et al, 2015;Zeng et al, 2017;Wang et al, 2019b;Mu et al, 2020), Dongting Lake (Huang et al, 2011;Hu et al, 2015;Xing et al, 2018;Long et al, 2019;Wang et al, 2021a), Taihu Lake (Hu and Wang, 2009;Zhao et al, 2012;Wang et al, 2019c;Xu et al, 2020b), Hongze Lake (Yin et al, 2013;Cai et al, 2020;Mei et al, 2021) and Chaohu Lake (Chen et al, 2013;Lin et al, 2021), which have a significant impact on the surrounding ecological environment. At present, research related to water storage mostly exists in Poyang Lake (the largest freshwater lake in China) (Liu H. et al, 2020;Xu et al, 2020a;Song et al, 2021), while the estimate on seasonal water storage changes of other lakes in the YHRB still remains poorly quantified. In addition, most of the existing researches also have concentrated on monitoring the lake water dynamics in the sub-basins of the YHRB [including the Middle and Lower Reaches of Yangtze River Basin (MLRYRB) and the Huai River Basin (HRB)] (Sun et al, 2014;Wang et al, 2014;Li L. et al, 2015;Cai et al, 2016;Ye et al, 2017;Xia et al, 2019;Li P. et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Seasonal Amplitude of Water Storage Variations of the Yangtze–Huai Plain Lake Group: Implicaion for Floodwater Storage Capacity

Song

Zhan

et al. 2022

Front. Environ. Sci.

Self Cite

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Lakes are of significant importance in regulating floods and providing water sources. The seasonal water storage variations for the plain lake group in the Yangtze–Huai River Basin (YHRB) are significant for alleviating flood pressure and regulating runoff. However, to date, the seasonal amplitude of lake water storage variations and its capacity of buffering floodwater in the YHRB is not quantified well and remains to be investigated comprehensively. To advance the understanding of such a critical scientific issue, the water level data of the plain lake group (area>100 km2, 29 lakes) in the YHRB is collected from multi-source data between 1990 and 2020. Using lake inundation area obtained from Global Surface Water and water level variations, water storage dynamics for the plain lake group are quantified. Furthermore, this study also uses the Gravity Recovery and Climate Experiment (GRACE) products to analyze the terrestrial water storage anomalies (TWSA) in the whole basin. The results indicate that the seasonal amplitude of water level change and water storage variation of the plain lake group are 2.80 ± 0.71 m and 37.38 ± 14.19 Gt, respectively. Poyang and Dongting Lakes, two lakes that maintain the natural connection with the Yangtze River, have the most substantial seasonal amplitude in the hydrological situation. The amplitude in water level and water storage in Poyang Lake is 9.53 ± 2.02 m and 14.13 ± 5.54 Gt respectively, and that in Dongting Lake is 7.39 ± 1.29 m and 7.31 ± 3.42 Gt respectively. The contribution of seasonal variation of water storage for large plain lakes to TWSA in the YHRB is approximately 33.25%, fully reflecting these lake’s imperative position in the YHRB. This study is expected to enhance the scientific understanding of the seasonal hydrologic regime for the large lakes in the YHRB and contribute to the management of flood risks and water resources in East China.

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The Changing Hydrology of an Irrigated and Dammed Yangtze River: Streamflow, Extremes, and Lake Hydrodynamics

Hao,

Dong,

Yang

et al. 2024

Water Resources Research

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Understanding the role of anthropogenic activities in the hydrological cycle is critical to support sustainable water management for the Yangtze River Basin (YRB), which experiences extensive dam operation, irrigation and water withdrawal. However, this remains challenging due to insufficient accuracies of existing process‐based models for fully depicting anthropogenic activities as part of the hydrological cycle. To this end, this study enhances a national‐scale coupled land surface‐hydrologic‐hydrodynamic model (CLHMS) with a dynamic irrigation scheme for distinct crops, an extended reservoir operation scheme incorporating both water storage anomalies and water demand anomalies, and a cost‐function‐based approach to link water demands with reservoir operation. The enhanced model is extensively validated against historical streamflow, water storage of 90 reservoirs, and irrigation water withdrawal in the YRB, and the water level and storage of the Poyang Lake (PYL). By setting up controlled experiments in the YRB, we show that the streamflow decreases by 2%–6% due to irrigation and water withdrawal, and manifests an attenuated seasonality due to reservoir operation. At the basin scale, the increasing trend of extreme flood peaks exhibits a reversal under human activities, with the flood mitigation effect of irrigation and water withdrawal accounting for up to 50% of that of reservoir operation. The hydrodynamics of the PYL also exhibits considerable human‐induced alterations, with a 1.79 m‐decrease in the water level at the end of flood season. Our study sheds light on quantifying anthropogenic hydrologic impacts at basin scales, with important implications for understanding the co‐evolution between anthropogenic activities and the hydrological cycle.

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Refining and densifying the water inundation area and storage estimates of Poyang Lake by integrating Sentinel-1/2 and bathymetry data

Cited by 7 publications

References 83 publications

Monitoring Surface Water Inundation of Poyang Lake and Dongting Lake in China Using Sentinel-1 SAR Images

Monitoring Surface Water Inundation of Poyang Lake and Dongting Lake in China Using Sentinel-1 SAR Images

Seasonal Amplitude of Water Storage Variations of the Yangtze–Huai Plain Lake Group: Implicaion for Floodwater Storage Capacity

The Changing Hydrology of an Irrigated and Dammed Yangtze River: Streamflow, Extremes, and Lake Hydrodynamics

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