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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: 31 July 2024 | Viewed by 2619

Special Issue Editors


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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
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Guest Editor
GNSS Research Centre, Wuhan University, Wuhan 430079, China
Interests: satellite geodesy; satellite altimetry; environmental loading modeling; GNSS data processing; time series analysis
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Guest Editor
National Satellite Ocean Application Service, Beijing 100081, China
Interests: sea level change; satellite altimetry; marine gravity; sea ice

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Guest Editor
Anhui University of Science and Technology, Anhui, 232001, China
Interests: sea level change; geodesy and surveying; hydrology; remote sensing
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
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Guest Editor
Institute Dom Luiz, University of Beira Interior, 6201-001 Covilhã, Portugal
Interests: satellite geodesy; stochastic model analysis; sea level
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

Published Papers (2 papers)

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Research

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
Viewed by 1040
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
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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 - 06 Dec 2023
Viewed by 703
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
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