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Remote Sensing
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Remote Sensing for Monitoring Water and Carbon Cycles
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Remote Sensing for Monitoring Water and Carbon Cycles

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1711

Special Issue Editors

Dr. Dong Liu

E-Mail Website
Guest Editor
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Interests: remote sensing; water quality; carbon cycle; water color; inland water
Special Issues, Collections and Topics in MDPI journals
Dr. Fang Cao

E-Mail Website
Guest Editor
State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
Interests: ocean color remote sensing; aquatic biogeochemistry; carbon cycles
Dr. Shujie Yu

E-Mail
Guest Editor
Polar and Marine Research Institute (PMRI), College of Harbour and Coastal Engineering, Jimei University, Xiamen 361021, China
Interests: remote sensing of ocean environment; inorganic carbon cycle; air–sea CO2 exchange

Special Issue Information

Dear Colleagues,

With the increasingly prominent global climate change and environmental problems, the study of water and carbon cycles has become an important topic in the field of ecology and environmental science. Water is a basic resource for life on Earth, and the carbon cycle is a key process for maintaining a global climate balance. The two interact in the Earth's ecosystems, affecting climate, species diversity, and the sustainable development of human societies. Due to the limitation of space and time, it is difficult for traditional ground observation methods to comprehensively monitor water distribution, dynamic changes, and carbon cycle processes in real time. Therefore, the use of remote sensing technology to observe and study water bodies and carbon cycles can provide continuous monitoring data on a global scale and deeply reveal the spatiotemporal changes of these key natural processes, providing important support for scientific research, environmental protection, and policy formulation. The application of remote sensing technology enables us to understand the Earth’s system more comprehensively and anticipate and respond to future environmental challenges.

Although remote sensing technology has made remarkable progress in the study of water and carbon cycles, there are still many challenges that need to be further explored. First of all, the existing remote sensing technology still has room for improvement in resolution and accuracy and cannot fully capture small-scale water dynamics and complex changes in local carbon cycle processes. Secondly, frequent extreme weather events caused by climate change further aggravate the complexity of water and carbon cycles, which puts higher requirements on the acquisition, processing, and analysis of remote sensing data. Therefore, this Special Issue aims to promote remote sensing research on water and carbon cycles, which helps to improve their monitoring accuracy and prediction ability. It also aims to include the latest research findings about remote sensing of water and carbon cycles, which are within the journal scope of Remote Sensing.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

  • Remote sensing inversion of water colors;
  • Remote sensing monitoring of water cycles;
  • Remote sensing observation of carbon cycles;
  • Atmospheric correction of multi-source satellite data;
  • Water environment monitoring using remote sensing data;
  • Driving factors, reasons, and explanations using remote sensing data;
  • Remote sensing data acquisition via satellites, UAVs, and platforms;
  • Other areas related to the topic of remote sensing data.

Dr. Dong Liu
Dr. Fang Cao
Dr. Shujie Yu
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

  • remote sensing
  • water quality
  • water volume
  • carbon cycle
  • total suspended matter
  • Chlorophyll
  • dissolved organic carbon
  • particulate organic carbon
  • water color
  • global change

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

Published Papers (2 papers)

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Research

22 pages, 13088 KiB  
Article
Influences of Global Warming and Upwelling on the Acidification in the Beaufort Sea
by Meibing Jin, Zijie Chen, Xia Lin, Chenglong Li and Di Qi
Remote Sens. 2025, 17(5), 866; https://doi.org/10.3390/rs17050866 - 28 Feb 2025
Viewed by 508
Abstract
Over the past three decades, increasing atmospheric CO2 (AtmCO2) has led to climate warming, sea ice reduction and ocean acidification in the Beaufort Sea (BS). Additionally, the effects of upwelling on the carbon cycle and acidification in the BS are [...] Read more.
Over the past three decades, increasing atmospheric CO2 (AtmCO2) has led to climate warming, sea ice reduction and ocean acidification in the Beaufort Sea (BS). Additionally, the effects of upwelling on the carbon cycle and acidification in the BS are still unknown. The Regional Arctic System Model (RASM) adequately reflects the observed long-term trends and interannual variations in summer sea ice concentration (SIC), temperature, partial pressure of CO2 (pCO2) and pH from 1990 to 2020. Multiple linear regression results from a control case show that surface (0–20 m) pH decline is significantly driven by AtmCO2 and SIC, while AtmCO2 dominates in subsurface (20–50 m) and deep layers (50–120 m). Regression results from a sensitivity case show that even if the AtmCO2 concentration remained at 1990 levels, the pH would still exhibit a long-term decline trend, being significantly driven by SIC only in the surface layers and by SIC and net primary production (NPP) in the subsurface layers. In contrast to the nearly linearly increasing AtmCO2 over the last three decades, the ocean pH shows more interannual variations that are significantly affected by SIC and mixed layer depth (MLD) in the surface, NPP and Ekman pumping velocity (EPV) in the subsurface and EPV only in the deep layer. The comparison of results from high and low SIC years reveals that areas with notable pH differences are overlapping regions with the largest differences in both SIC and MLD, and both cause a statistically significant increase in pCO2 and decrease in pH. Comparison of results from high and low EPV years reveals that although stronger upwelling can lift up more nutrient-rich seawater in the subsurface and deep layers and lead to higher NPP and pH, this effect is more than offset by the higher DIC lifted up from deep water, leading to generally lower pH in most regions. Full article
(This article belongs to the Special Issue Remote Sensing for Monitoring Water and Carbon Cycles)
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15 pages, 7631 KiB  
Article
Spatiotemporal Evolution of Air–Sea CO2 Flux in the South China Sea and Its Response to Environmental Factors
by Ying Chen, Hui Zhao and Hui Gao
Remote Sens. 2024, 16(24), 4724; https://doi.org/10.3390/rs16244724 - 18 Dec 2024
Viewed by 727
Abstract
Increasing atmospheric carbon dioxide (CO2) from human activities underscores the need to understand air–sea CO2 flux in marine environments, particularly in marginal seas like the South China Sea (SCS). This research analyzes the spatial and temporal patterns of air–sea CO [...] Read more.
Increasing atmospheric carbon dioxide (CO2) from human activities underscores the need to understand air–sea CO2 flux in marine environments, particularly in marginal seas like the South China Sea (SCS). This research analyzes the spatial and temporal patterns of air–sea CO2 flux across four typical regions of the SCS: the northern SCS, western SCS, SCS basin, and northeastern SCS. Our results show that the SCS serves as a carbon source from spring to autumn and shifts to a carbon sink in winter. The northern SCS exhibits strong carbon sink behavior during winter, transitioning to a source in warmer months, while the western SCS and SCS basin consistently act as carbon sources year-round, with summer peaks. The northeastern SCS acts as a source in warmer months, becoming a weak sink in winter. Partial correlation analysis reveals that temperature and wind speed significantly influence air–sea CO2 flux, though regional differences exist. Notably, chlorophyll-a in the northern SCS is negatively correlated with air–sea CO2 flux, indicating that high primary productivity enhances CO2 absorption, whereas other regions show contrasting relationships. These findings provide valuable insights into the complex carbon cycle mechanisms in the SCS. Full article
(This article belongs to the Special Issue Remote Sensing for Monitoring Water and Carbon Cycles)
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