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Remote Sensing of Inland Water: Observations, Processing and Application in Hydrological Modeling

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".

Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 6201

Special Issue Editors


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Guest Editor
National Space Institute, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
Interests: remote sensing; inland water; satellite radar and laser altimetry; time series modeling; geostatistics

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Co-Guest Editor
IRSTEA, 3275, Route de Cézanne, 13182 Aix-en-Provence, France
Interests: hydrology; altimetry; optical imagery; cold regions
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Special Issue Information

Dear Colleagues,

Continental freshwater is essential to both human and animal life on our planet. Furthermore, changes in water level and volume are important indicators of the local and regional climate. Remote sensing techniques are efficient tools to monitor and map changes of inland water, typically with global or near-global coverage. Several sensors are interesting for inland water. One example is satellite altimetry, that during the last 25 years has provided along-track measurements of surface elevation allowing the construction of time series of water level change. With the synthetic aperture radar (SAR) altimeter on-board CryoSat-2 and Sentinel-3 and the recently launched laser altimeter on-board ICESat-2 it is possible to accurately study smaller inland water bodies. Another example is optical and SAR imagery, e.g., from Landsat and Sentinel-1 and 2, that can determine surface water extent, which combined with altimetry provides the volume change. The hydrological parameters obtained from space provide important knowledge in our understanding of climate change and local to global scale hydrology and are additionally of great value in the calibration and validation of hydrological models.

The goal of this Special Issue of Remote Sensing is to collect papers (original research articles and review papers) that demonstrate novel uses of remote sensing of inland water including innovative processing techniques to achieve accurate hydrological parameters, new insights into inland water processes, and integration in hydrological modeling. The applied data may originate from altimetry and satellite imagery but other sensors are welcome too. 

Dr. Karina Nielsen
Guest Editor

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Keywords

  • radar altimetry
  • laser altimetry
  • satellite altimetry
  • lake, river, and wetland level
  • water storage
  • river discharge
  • hydrological modeling
  • water extent
  • optical sensors

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Published Papers (1 paper)

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Research

18 pages, 4485 KiB  
Article
Performance Assessment of ICESat-2 Laser Altimeter Data for Water-Level Measurement over Lakes and Reservoirs in China
by Cui Yuan, Peng Gong and Yuqi Bai
Remote Sens. 2020, 12(5), 770; https://doi.org/10.3390/rs12050770 - 28 Feb 2020
Cited by 71 | Viewed by 5968
Abstract
Although the Advanced Topographic Laser Altimeter System (ATLAS) onboard the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) was primarily designed for glacier and sea-ice measurement, it can also be applied to monitor lake surface height (LSH). However, its performance in monitoring lakes/reservoirs has [...] Read more.
Although the Advanced Topographic Laser Altimeter System (ATLAS) onboard the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) was primarily designed for glacier and sea-ice measurement, it can also be applied to monitor lake surface height (LSH). However, its performance in monitoring lakes/reservoirs has rarely been assessed. Here, we report an accuracy evaluation of the ICESat-2 laser altimetry data over 30 reservoirs in China using gauge data. To show its characteristics in large-scale lake monitoring, we also applied an advanced radar altimeter SARAL (Satellite for ARgos and ALtika) and the first laser altimeter ICESat (Ice, Cloud and land Elevation Satellite) to investigate all lakes and reservoirs (>10 km2) in China. We found that the ICESat-2 has a greatly improved altimetric capability, and the relative altimetric error was 0.06 m, while the relative altimetric error was 0.25 m for SARAL. Compared with SARAL and ICESat data, ICESat-2 data had the lowest measurement uncertainty (the standard deviation of along-track heights; 0.02 m vs. 0.17 m and 0.07 m), the greatest temporal frequency (3.43 vs. 1.35 and 1.48 times per year), and the second greatest lake coverage (636 vs. 814 and 311 lakes). The precise LSH profiles derived from the ICESat-2 data showed that most lakes (90% of 636 lakes) had a quasi-horizontal LSH profile (measurement uncertainty <0.05 m), and special methods are needed for mountainous lakes or shallow lakes to extract precise LSHs. Full article
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