ICESat-2 river surface slope (IRIS): A global reach-scale water surface slope dataset

Scherer, Daniel; Schwatke, C; Dettmering, D; Seitz, Florian

doi:10.1038/s41597-023-02215-x

Cited by 7 publications

(10 citation statements)

References 35 publications

(40 reference statements)

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“…Further, when compared with ICESat-2 slopes (05 sample points), bias (SWORD-ICESat-2) range and mean found to be -4.02 to 20.76 cm/km and 4.5 cm/km respectively. It is observed that, SWORD dataset showed relatively low agreement with GNSS and ICESat-2 data; obviously because of higher vertical accuracy of the ICESat-2 data compared to MERIT DEM [36]. Further, [36] compared ICESat-2 River Surface Slope (IRIS) with SWORD, and reported the bias range from -65.7cm/km to 477.4cm/km on basin scale (having reaches more than 5) with mean of 14.9 cm/km.…”

Section: ) Wss Using Icesat-2 Data For Sword River Reachesmentioning

confidence: 94%

“…It is observed that, SWORD dataset showed relatively low agreement with GNSS and ICESat-2 data; obviously because of higher vertical accuracy of the ICESat-2 data compared to MERIT DEM [36]. Further, [36] compared ICESat-2 River Surface Slope (IRIS) with SWORD, and reported the bias range from -65.7cm/km to 477.4cm/km on basin scale (having reaches more than 5) with mean of 14.9 cm/km. The proposed statistics unfolds the advantage and limitations of the SWORD WSS slope using available limited in-situ and satellite observations.…”

Section: ) Wss Using Icesat-2 Data For Sword River Reachesmentioning

confidence: 94%

“…With the emergence of satellite altimetry, small-scale slopes have gained significance due to their usefulness in adjusting altimetry-based water surface elevation readings from one station to another, thus enhancing the density of the water surface elevation time series [13], [59]. ICESat-2, equipped with a unique configuration of six beams and a small footprint of 17m, has proven effective in determining the instantaneous WSS for approximately a 6 km stretch lying between the beams [36]. We used the following three steps approach to assess the performance of WSS using ICESat-2 along Ganga River.…”

Section: Accuracy Of Estimated Water Surface Slopementioning

confidence: 99%

“…Consequently, application of lidar data is more common in lakes monitoring compared to river water levels. In addition, ICESat-2 has been exploited to estimate WSS [36]; which is essential parameter for river discharge estimation. The SWOT a priori river database (SWORD) archives WSS as river reach attribute which is important for SWOT products generation [37].…”

Section: Introductionmentioning

confidence: 99%

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River Water Level and Water Surface Slope Measurement From Spaceborne Radar and LiDAR Altimetry: Evaluation and Implications for Hydrological Studies in the Ganga River

Dhote,

Agarwal,

Singhal

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Satellite altimetry has revolutionized river monitoring, particularly for hydrologists working on river flow monitoring in sparsely or ungauged areas. Despite this, there's a lack of a comprehensive evaluation of radar and lidar altimeters with varying sensor specifications for river water level retrieval, seasonal change characterization, and water surface slope (WSS) using gauged long-term water level and global navigation satellite system (GNSS) data. This study addresses this gap by combined evaluation of radar (ENVISAT to Sentinel-3) and lidar (ICESat-1, ICESat-2) altimeters along the Ganga River, from Prayagraj to Varanasi. We found that, all the radar altimetry missions showed better accuracy for water level retrievals (R 2 >=0.8; RMSE 0.11 to 1.16 m) and water level change quantification (RMSE 0.59 m). However, Sentinel-3 with SAR acquisition mode outperformed (RMSE 0.11 to 0.14 m) all the radar missions having low resolution mode. Despite lidar missions' high vertical accuracy, they show relatively lower accuracy in water level time series generation due to non-repeating characteristics. In contrary, ICESat-2 demonstrates potential in capturing spatial and seasonal variability of WSS, enhancing the accuracy of SWOT discharge products when combined with SWOT River database (SWORD). This study provides a comprehensive baseline for end-users interested in utilizing radar and lidar missions for various hydrological applications, including river discharge estimation.

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Section: ) Wss Using Icesat-2 Data For Sword River Reachesmentioning

confidence: 94%

Section: ) Wss Using Icesat-2 Data For Sword River Reachesmentioning

confidence: 94%

Section: Accuracy Of Estimated Water Surface Slopementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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River Water Level and Water Surface Slope Measurement From Spaceborne Radar and LiDAR Altimetry: Evaluation and Implications for Hydrological Studies in the Ganga River

Dhote,

Agarwal,

Singhal

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…The reach-scale "ICESat-2 River Surface Slope" (IRIS, Scherer et al, 2022bScherer et al, , 2023 data set is used to evaluate the results of this study. IRIS is derived for each SWORD (Version 15) reach (Altenau et al, 2021) from observations of the spaceborne lidar sensor ATLAS onboard ICESat-2.…”

Section: Icesat-2 River Surface Slopementioning

confidence: 99%

Generation of High‐Resolution Water Surface Slopes From Multi‐Mission Satellite Altimetry

Schwatke,

Halicki,

Scherer

2024

Water Resources Research

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For nearly three decades, satellite radar altimetry has provided measurements of the water surface elevation (WSE) of rivers. These observations can be used to calculate the water surface slope (WSS), which is an essential parameter for estimating flow velocity and river discharge. In this study, we calculate a non time‐varying high‐resolution WSS of 11 Polish rivers based on multi‐mission altimetry observations from 11 satellites in the period from 1994 to 2023. The proposed approach is based on a weighted least squares adjustment with an additional Laplace condition and an a priori gradient condition. The processing is divided into river sections not interrupted by dams and reservoirs. After proper determination of the WSE for each river kilometer (bin), the WSS between adjacent bins is calculated. To assess the accuracy of the estimated WSS, it is compared with slopes between gauge stations, which are referenced to a common vertical datum. Such gauge stations are available for 8 studied rivers. The root mean squared error (RMSE) ranges from 4 mm/km to 77 mm/km, with an average of 27 mm/km. However, the mean RMSE decreases to 11 mm/km when the 2 mountain rivers are excluded. The WSS accuracies are also compared with slope data sets based on digital elevation models, ICESat‐2 altimetry, and lidar. For 6 rivers the estimated WSS shows the highest accuracy. The improvement was particularly significant for mountain rivers. The proposed approach allows an accurate, non time‐varying high‐resolution WSS even for small and medium‐sized rivers and can be applied to almost any river worldwide.

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Satellite-based water surface slope over a small mountain river in northern China

Lyu,

Tian

2024

Journal of Hydrology

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ICESat-2 river surface slope (IRIS): A global reach-scale water surface slope dataset

Cited by 7 publications

References 35 publications

River Water Level and Water Surface Slope Measurement From Spaceborne Radar and LiDAR Altimetry: Evaluation and Implications for Hydrological Studies in the Ganga River

River Water Level and Water Surface Slope Measurement From Spaceborne Radar and LiDAR Altimetry: Evaluation and Implications for Hydrological Studies in the Ganga River

Generation of High‐Resolution Water Surface Slopes From Multi‐Mission Satellite Altimetry

Satellite-based water surface slope over a small mountain river in northern China

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