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Mapping the Blue: Remote Sensing in Water Resource Management

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: 16 March 2026 | Viewed by 6

Special Issue Editors

Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, South Dakota State University, Brookings, SD 57007, USA
Interests: remote sensing of surface water; spatiotemporal data reconstruction; deep learning for geospatial information processing

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Guest Editor
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Interests: remote sensing; hydraulic features monitoring; water parameter inversion; target identification
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Special Issue Information

Dear Colleagues,

Water is one of the most vital and vulnerable natural resources on Earth. With increasing pressure from climate change, population growth, and intensive agricultural and industrial activities, the sustainable management of water resources has become a global priority. Advances in remote sensing and geographic information systems (GISs) have opened up unprecedented opportunities to monitor, analyze, and model water systems across spatial and temporal scales. From mapping open surface water bodies and wetlands to monitoring soil moisture, evapotranspiration, and flood dynamics, remote sensing and GIS technologies have proven indispensable for hydrological research and decision-making.

This Special Issue aims to bring together recent advances in the application of remote sensing and GISs for water resource management. We welcome original research articles, reviews, and case studies that address new methods, datasets, and applications that align with the journal's scope on remote sensing theory, techniques, and interdisciplinary integration. Contributions may focus on the development of novel algorithms, the fusion of multi-source data (e.g., optical, SAR, thermal, LiDAR), or the use of AI and big data in hydrological analysis. Submissions that provide insights into operational monitoring, early warning systems, and policy-relevant applications are especially encouraged.

Topics of interest include, but are not limited to, the following:

  • Surface water mapping and dynamics;
  • Soil moisture retrieval and drought monitoring;
  • Flood and inundation mapping;
  • Snow and glacier monitoring;
  • Groundwater and aquifer assessment;
  • Wetland and water quality analysis;
  • Hydrological modeling supported by EO data;
  • Integration of remote sensing, GIS, and machine learning for water-related applications.

Dr. Junjie Li
Dr. Yun Chen
Dr. Wen Zhang
Guest Editors

Ms. Xiaobing Wei
Guest Editor Assistant

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

  • water resource management
  • remote sensing applications
  • flood and drought monitoring
  • hydrological modeling
  • surface water mapping
  • geographic information science
  • multi-source data fusion
  • artificial intelligence

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Published Papers

This special issue is now open for submission.
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