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Recent Progress in Understanding Global Sea Level Rise Using Space and Earth Observations

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".

Deadline for manuscript submissions: 30 January 2025 | Viewed by 4791

Special Issue Editors

Dr. Xiaoxing He

E-Mail Website
Guest Editor
School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
Interests: high-precision navigation and positioning; sea level change; big data analysis; remote sensing environment monitoring
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zhao Li

E-Mail Website
Guest Editor
GNSS Research Centre, Wuhan University, Wuhan 430079, China
Interests: satellite geodesy; satellite altimetry; environmental loading modeling; GNSS data processing; time series analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Yongjun Jia

E-Mail Website
Guest Editor
National Satellite Ocean Application Service, Beijing 100081, China
Interests: sea level change; satellite altimetry; marine gravity; sea ice
Dr. Jiajia Yuan

E-Mail Website
Guest Editor
Anhui University of Science and Technology, Anhui, 232001, China
Interests: sea level change; geodesy and surveying; hydrology; remote sensing
Dr. Yu Sun

E-Mail Website
Guest Editor
Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China
Interests: GRACE; sea level budget; glacial isostatic adjustment
Special Issues, Collections and Topics in MDPI journals
Dr. Jean Philippe Montillet

E-Mail Website
Guest Editor
Institute Dom Luiz, University of Beira Interior, 6201-001 Covilhã, Portugal
Interests: satellite geodesy; stochastic model analysis; sea level
Dr. Rui Fernandes

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Guest Editor
Department of Computer Sciences, University of Beira Interior, Rua Marquês d’Ávila e Bolama, 6201-001 Covilhã, Portugal
Interests: accurate positioning; computer sciences; geodynamics; GNSS; plate tectonics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent progress in understanding global Sea Level Rise (SLR) via the analysis of remote sensing data has significantly enhanced our capacity to analyze sea level trends on both local and global scales. Investigating changes in the global sea level is of the utmost importance for predicting coastal susceptibilities, devising adaptation strategies, and grasping the far-reaching effects of climate change on both ecosystems and human societies. Via harnessing abundant Earth data resources, researchers can simulate fluctuations in sea levels, pinpoint influential factors, and forecast the estimated SLR based on various scenarios. This knowledge plays a pivotal role in evaluating climate change, refining coastal development strategies, and bolstering disaster preparedness. The integration of space and Earth data resources fosters interdisciplinary cooperation, ultimately enriching our holistic comprehension of the Earth’s intricate systems.

This Special Issue highlights the recent progress in exploring cutting-edge methodologies for understanding global sea level variations by utilizing space and Earth-based information sources (e.g., Tide Gauge, GNSS/ GNSS-R, GRACE, Satellite Altimetry, and InSAR). We particularly welcome contributions that shed light on the consequences of sea level fluctuations when aiming to evaluate climate change, guide coastal strategies, and enhance disaster preparedness. Moreover, we encourage the submission of review articles focusing on the utilization of the “Global Geodetic Observing System” to monitor global sea level changes, climate dynamics, and natural phenomena within the Earth’s intricate system.

Potential topics include, but are not limited to, the following:

  • Sea Level Change from Tide Gauge, GNSS/GNSS-R, GRACE, Satellite Altimetry and InSAR Global Geodetic Observing System
  • Spatio-temporal fusion for big earth data
  • Coastal flood risk assessment and response
  • Global sea-level budget and ocean-mass budget
  • Predicting sea level rise using artificial intelligence algorithm
  • Seasonal hydrological/environment loading on sea level change

Dr. Xiaoxing He
Prof. Dr. Zhao Li
Dr. Yongjun Jia
Dr. Jiajia Yuan
Dr. Yu Sun
Dr. Jean Philippe Montillet
Dr. Rui Fernandes
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sea level change
  • tide gauge
  • satellite altimetry
  • GNSS
  • GRACE
  • satellite gravity
  • global geodetic observing system
  • big data
  • artificial intelligence
  • environmental loading model

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

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Research

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21 pages, 12973 KiB  
Article
The Extraction of Terrestrial Water Storage Anomaly from GRACE in the Region with Medium Scale and Adjacent Weak Signal Area: A Case for the Dnieper River Basin
by Tao Zhang, Shaofeng Bian, Bing Ji, Wanqiu Li, Jingwen Zong and Jiajia Yuan
Remote Sens. 2024, 16(12), 2124; https://doi.org/10.3390/rs16122124 - 12 Jun 2024
Viewed by 455
Abstract
The accuracy of estimating changes in terrestrial water storage (TWS) using Gravity Recovery and Climate Experiment (GRACE) level-2 products is limited by the leakage effect resulting from post-processing and the weak signal magnitude in adjacent areas. The TWS anomaly from 2003 to 2016 [...] Read more.
The accuracy of estimating changes in terrestrial water storage (TWS) using Gravity Recovery and Climate Experiment (GRACE) level-2 products is limited by the leakage effect resulting from post-processing and the weak signal magnitude in adjacent areas. The TWS anomaly from 2003 to 2016 in the Dnieper River basin, with characteristics of medium scale and an adjacent weak TWS anomaly area, are estimated in this work. Two categories of leakage error repair approaches (including forward modeling, data-driven, single, and multiple scaling factor approaches) are employed. Root mean square error (RMSE) and Nash–Sutcliffe Efficiency (NSE) are used to evaluate the efficiency of approaches. The TWS anomaly inverted by the forward modeling approach (FM) is more accurate in terms of RMSE 3.04 and NSE 0.796. We compared single and multiple scaling approaches for the TWS anomaly and found that leakage signals mostly come from semi-annual terms. From the recovered results demonstrated in the spatial domain, the South of Dnieper River basin is more sensitive to the leakage effect because of it is adjacent to a weak hydrological signal region near the Black Sea. Further, comprehensive climate insights and physical mechanisms behind the TWS anomaly were confirmed. The temperate continental climate of this river basin is shown according to the variation in TWS anomaly in the spatial domain. Snowmelt plays a significant role in the TWS anomaly of the Dnieper River basin, following the precipitation record and the 14-year temperature spatial distribution for February. We compared single and multiple scaling approaches for the TWS anomaly and found that leakage signals mostly come from semi-annual terms. Full article
(This article belongs to the Special Issue Recent Progress in Understanding Global Sea Level Rise Using Space and Earth Observations)
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33 pages, 10147 KiB  
Article
Long-Term and Decadal Sea-Level Trends of the Baltic Sea Using Along-Track Satellite Altimetry
by Majid Mostafavi, Artu Ellmann and Nicole Delpeche-Ellmann
Remote Sens. 2024, 16(5), 760; https://doi.org/10.3390/rs16050760 - 21 Feb 2024
Cited by 3 | Viewed by 1521
Abstract
One of the main effects of climate change is rising sea levels, which presents challenges due to its geographically heterogenous nature. Often, contradictory results arise from examining different sources of measurement and time spans. This study addresses these issues by analysing both long-term [...] Read more.
One of the main effects of climate change is rising sea levels, which presents challenges due to its geographically heterogenous nature. Often, contradictory results arise from examining different sources of measurement and time spans. This study addresses these issues by analysing both long-term (1995–2022) and decadal (2000–2009 and 2010–2019) sea-level trends in the Baltic Sea. Two independent sources of data, which consist of 13 tide gauge (TG) stations and multi-mission along-track satellite altimetry (SA), are utilized to calculate sea-level trends using the ordinary least-squares method. Given that the Baltic Sea is influenced by geographically varying vertical land motion (VLM), both relative sea level (RSL) and absolute sea level (ASL) trends were examined for the long-term assessment. The results for the long-term ASL show estimates for TG and SA to be 3.3 mm/yr and 3.9 mm/yr, respectively, indicating agreement between sources. Additionally, the comparison of long-term RSL ranges from −2 to 4.5 mm/yr, while ASL varies between 2 and 5.4 mm/yr, as expected due to the VLM. Spatial variation in long-term ASL trends is observed, with higher rates in the northern and eastern regions. Decadal sea-level trends show higher rates, particularly the decade 2000–2009. Comparison with other available sea-level datasets (gridded models) yields comparable results. Therefore, this study evaluates the ability of SA as a reliable source for determining reginal sea-level trends in comparison with TG data. Full article
(This article belongs to the Special Issue Recent Progress in Understanding Global Sea Level Rise Using Space and Earth Observations)
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17 pages, 14498 KiB  
Article
On-Orbit Calibration Method for Correction Microwave Radiometer of the HY-2 Satellite Constellation
by Xiaofeng Ma, Mingsen Lin, Jin Zhao, Yongjun Jia and Chengfei Jiang
Remote Sens. 2023, 15(24), 5643; https://doi.org/10.3390/rs15245643 - 6 Dec 2023
Viewed by 978
Abstract
The HY-2D satellite was successfully launched in 2022, which marks the first phase of the HY-2 satellite constellation. In order to reduce the deviation of wet path delay (WPD) between different satellites in the HY-2 satellite constellation and increase precision in the correction [...] Read more.
The HY-2D satellite was successfully launched in 2022, which marks the first phase of the HY-2 satellite constellation. In order to reduce the deviation of wet path delay (WPD) between different satellites in the HY-2 satellite constellation and increase precision in the correction microwave radiometer (CMR) products, on-orbit calibration must be performed to the brightness temperature (BT) of the CMR in this constellation. This study describes the principle and process of on-orbit calibration for CMR in detail. For the three satellites of the HY-2 satellite constellation, after cross-matching with each other within a limited spatio-temporal range, the HY-2B satellite with sounding on the global ocean is selected to the calibration source, calibrating BT from the CMR of the HY-2C and HY-2D satellites to the BT dimension of the HY-2B satellite CMR. To check on-orbit calibration, a retrieval algorithm is built using atmospheric profile data from ECMWF and BT data, obtained from the CMR of the HY-2B satellite; this is used to calculate the atmospheric water vapor (AWV) and WPD from the HY-2 satellite constellation. After on-orbit calibration to the CMRs of the HY-2 satellite constellation, the deviation between the CMR products of different satellites is significantly reduced by over 20%, and the RMS of WPD for the same type of products from the Jason-3 satellite is less than 1 cm. It may be concluded that on-orbit calibration improves the accuracy of AWV and WPD by normalizing the BT dimension for CMRs of the HY-2 satellite constellation, so this calibration method is effective and credible for enhancing the quality of altimeter products in the HY-2 satellite constellation. Full article
(This article belongs to the Special Issue Recent Progress in Understanding Global Sea Level Rise Using Space and Earth Observations)
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Review

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22 pages, 5322 KiB  
Review
Trends and Innovations in Surface Water Monitoring via Satellite Altimetry: A 34-Year Bibliometric Review
by Zhengkai Huang, Rumiao Sun, Haihong Wang and Xin Wu
Remote Sens. 2024, 16(16), 2886; https://doi.org/10.3390/rs16162886 - 7 Aug 2024
Viewed by 744
Abstract
The development of satellite altimetry has significantly advanced the application of satellite Earth observation technologies in surface water monitoring, resulting in a substantial body of research. Although numerous reviews have summarized progress in this field, their analyses are often limited in scope and [...] Read more.
The development of satellite altimetry has significantly advanced the application of satellite Earth observation technologies in surface water monitoring, resulting in a substantial body of research. Although numerous reviews have summarized progress in this field, their analyses are often limited in scope and fail to provide a systematic, quantitative assessment of the current research prospects and trends. To address this gap, we utilize CiteSpace and VOSviewer bibliometric software to analyze 13,500 publications from the WOS database, spanning the years from 1988 to 2022. Our analysis focused on publication volume, authorship, collaboration networks, and content. We also compare data from Google Scholar and Scopus to validate the reliability of our dataset. Our findings indicate a steadily growing research potential in this field, as evidenced by trends in publication volume, authorship, journal influence, and disciplinary focus. Notably, the leading journals are primarily in the realm of remote sensing, while key disciplines include geology, remote sensing science, and oceanography. Keyword analysis revealed current research hotspots such as sea-level rise, snow depth, and machine learning applications. Among various water body types, research on glaciers ranks second only to ocean studies. Furthermore, research focus areas are shifting from large oceanic regions like the Pacific and Atlantic Oceans to significant inland water bodies, notably the Tibetan Plateau and the Amazon basin. This study combines qualitative and quantitative methods to analyze vast amounts of information in the field of surface water monitoring by satellite altimetry. The resulting visualizations provide researchers with clear insights into the development trends and patterns within this domain, offering valuable support for identifying future research priorities and directions. Full article
(This article belongs to the Special Issue Recent Progress in Understanding Global Sea Level Rise Using Space and Earth Observations)
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