Polygon-Informed Cross-Track Altimetry (PICTA): Estimating river water level profiles with the Sentinel-6 altimeter

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Frithjof Ehlers , Cornelis Slobbe , Florian Schlembach , Marcel Kleinherenbrink , Martin Verlaan
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Abstract

Traditionally, nadir-looking satellite radar altimeters provide water levels of rivers only at intersections with the satellite’s ground track, called virtual stations. These observations have limited spatial coverage because such cross-overs are sparse, depending on the altimeter’s orbit. In this work, we introduce the novel concept of Polygon-Informed Cross-Track Altimetry (PICTA), enabling accurate estimation of water levels at cross-track distances — for as long as the target’s signal is recorded in the altimeter’s range window. Using fully-focused SAR data from the Sentinel-6 altimetry mission, we demonstrate how the new approach can provide detailed river water level profiles over a ground swath of about 14 km cross-track width and with an along-track resolution as fine as 10 m. On the one hand, this marks a drastic improvement in the number of available measurements when compared to the virtual station approach, on the other hand, for the first time, water surface slopes and level variations along the river, caused by rapids, dams, and sluices, can be directly observed using a nadir radar altimeter. The validation over two river segments in France reveals biases as low as ±4 cm and random errors on the order of 3–8 cm at 30 m along-track resolution. The new PICTA concept can potentially be generalized to other targets, such as lakes or even coastlines.

Abstract Image

Abstract Image

多边形信息交叉轨道测高(PICTA):利用哨兵-6 高度计估算河流水位剖面
传统上,天底面卫星雷达测高计仅在与卫星地面轨道的交汇处(称为虚拟站)提供河流水位。这些观测数据的空间覆盖范围有限,因为根据测高仪的轨道,这种交叉点很稀疏。在这项工作中,我们引入了新颖的多边形信息交叉轨道测高(PICTA)概念,只要目标信号记录在测高仪的测距窗口内,就能在交叉轨道距离上准确估算水位。利用哨兵-6测高任务中的全聚焦合成孔径雷达数据,我们展示了新方法如何在约 14 千米跨轨宽度的地面范围内提供详细的河流水位剖面图,沿轨分辨率精细至 10 米。一方面,与虚拟站方法相比,这标志着可用测量数据数量的大幅增加;另一方面,利用天底雷达测高仪,可以首次直接观测到由急流、水坝和水闸引起的沿河水面坡度和水位变化。在法国的两个河段进行的验证显示,在 30 米的沿线分辨率下,偏差低至 ±4±4 厘米,随机误差约为 3-8 厘米。新的 PICTA 概念有可能推广到其他目标,如湖泊甚至海岸线。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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