Temporal variations in river water surface elevation and slope captured by AirSWOT

被引:27
作者
Altenau, Elizabeth H. [1 ]
Pavelsky, Tamlin M. [1 ]
Moller, Delwyn [2 ]
Pitcher, Lincoln H. [3 ]
Bates, Paul D. [4 ]
Durand, Michael T. [5 ]
Smith, Laurence C. [3 ]
机构
[1] Univ N Carolina, Dept Geol Sci, Chapel Hill, NC 27515 USA
[2] Remote Sensing Solut Inc, Pasadena, CA USA
[3] Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90024 USA
[4] Univ Bristol, Sch Geog Sci, Bristol, Avon, England
[5] Ohio State Univ, Sch Earth Sci, Byrd Polar & Climate Res Ctr, Columbus, OH 43210 USA
基金
美国国家航空航天局; 美国国家科学基金会;
关键词
Surface Water and Ocean Topography (SWOT); AirSWOT; Remote sensing; Tanana River; Multichannel rivers; Arctic hydrology; ESTIMATING DISCHARGE; SPATIAL-RESOLUTION; LIDAR; CLASSIFICATION; ALTIMETRY; WIDTH; AREA;
D O I
10.1016/j.rse.2019.02.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Surface Water and Ocean Topography (SWOT) satellite mission aims to improve the frequency and accuracy of global observations of river water surface elevations (WSEs) and slopes. As part of the SWOT mission, an airborne analog, AirSWOT, provides spatially-distributed measurements of WSEs for river reaches tens to hundreds of kilometers in length. For the first time, we demonstrate the ability of AirSWOT to consistently measure temporal dynamics in river WSE and slope. We evaluate data from six AirSWOT flights conducted between June 7-22, 2015 along a similar to 90 km reach of the Tanana River, AK. To validate AirSWOT measurements, we compare AirSWOT WSEs and slopes against an in situ network of 12 pressure transducers (PTs). Assuming error-free in situ data, AirSWOT measurements of river WSEs have an overall root mean square difference (RMSD) of 11.8 cm when averaged over 1 km(2) areas while measurements of river surface slope have an RMSD of 1.6 cm/km for reach lengths > 5 km. AirSWOT is also capable of recording accurate river WSE changes between flight dates, with an RMSD of 9.8 cm. Regrettably, observed in situ slope changes that transpired between the six flights are well below AirSWOT's accuracy, limiting the evaluation of AirSWOT's ability to capture temporal changes in slope. In addition to validating the direct AirSWOT measurements, we compare discharge values calculated via Manning's equation using AirSWOT WSEs and slopes to discharge values calculated using PT WSEs and slopes. We define or calibrate the remaining discharge parameters using a combination of in situ and remotely sensed observations, and we hold these remaining parameters constant between the two types of calculations to evaluate the impact of using AirSWOT versus the PT observations of WSE and slope. Results indicate that AirSWOT-derived discharge estimates are similar to the PT-derived discharge estimates, with an RMSD of 13.8%. Additionally, 42% of the AirSWOT-based discharge estimates fall within the PT discharge estimates' uncertainty bounds. We conclude that AirSWOT can measure multitemporal variations in river WSE and spatial variations in slope with both high accuracy and spatial sampling, providing a compelling alternative to in situ measurements of regional-scale, spatiotemporal fluvial dynamics.
引用
收藏
页码:304 / 316
页数:13
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