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Multi-Platform Hydrometeorological Monitoring and Analysis Using Remote Sensing (Second Edition)

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: 31 December 2026 | Viewed by 1279

Editors


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Guest Editor
Department of Informatics, Ionian University, 7 Tsirigoti Square, 49100 Corfu, Greece
Interests: X-band dual-polarization high resolution precipitation estimation; flash flood forecasting; underwater acoustics; modeling and forecasting
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Environmental Research and Sustainable Development, National Observatory of Athens, I. Metaxa and V. Pavlou, P. Penteli, 15236 Athens, Greece
Interests: remote sensing; weather radar; precipitation; flood forecasting; atmospheric turbulence; air–sea interaction
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Interests: remote sensing of the environment; water color remote sensing; hydrological remote sensing; hydrology modelling and data assimilation; climate change and environment response; disaster monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent decades, advances in multi-platform remote sensing and numerical weather and hydrological modelling have transformed our ability to observe and understand the dynamics of the atmosphere and the water cycle. The rapid growth of satellite, radar, UAV, ground-based and reanalysis datasets, together with modern modelling and data-assimilation techniques, now offers unprecedented opportunities for high-resolution monitoring and the prediction of hydrometeorological processes.

Leveraging these capabilities is essential for supporting improving water-resource management and enhancing early warning systems for hydrometeorological hazards such as heavy rainfall, floods, droughts and severe convective storms.

This Special Issue aims to advance multi-platform hydrometeorological monitoring and analysis using remote sensing and integrated modelling approaches. We invite submissions that develop or apply remote sensing techniques and multi-source data fusion to address emerging meteorological and hydrological challenges, and to demonstrate innovative applications of modern observation and modelling systems. Topics of interest include, but are not limited to:

   - Retrieval and validation of weather and hydrological parameters from single- and multi-sensor remote sensing.
   - Multi-platform integration (e.g., satellite, radar, UAV, in situ, model outputs) for hydrometeorological analysis and prediction.
   - Remote-sensing-based assessment of hydrometeorological extremes and related disasters.
   - Novel algorithms, machine-learning approaches and data assimilation methods for monitoring and forecasting hydrometeorological processes.
   - Development, intercomparison or improvement of models and tools for operational applications.

We particularly welcome contributions that provide new insights, innovative methodologies or improved tools, as well as case studies in complex environments and regions vulnerable to hydrometeorological risk.

Dr. Marios Anagnostou
Dr. John Kalogiros
Dr. Jianzhong Lu
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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 of hydrology
  • weather radar
  • multi-platform analysis
  • soil moisture
  • precipitation
  • evapotranspiration
  • meteorology
  • weather reanalysis
  • flood and drought

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Published Papers (1 paper)

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Research

24 pages, 4274 KB  
Article
Observed Effects of Near-Surface Relative Humidity on Rainfall Microphysics During the LIAISE Field Campaign
by Francesc Polls, Joan Bech, Mireia Udina, Eric Peinó and Albert Garcia-Benadí
Remote Sens. 2026, 18(3), 509; https://doi.org/10.3390/rs18030509 - 5 Feb 2026
Viewed by 893
Abstract
This study, conducted in the framework of the LIAISE field campaign in NE Spain (May–September 2021), investigates how near-surface relative humidity influences early-stage rainfall characteristics when precipitation is most affected by temperature and relative humidity before rainfall onset. Two instrumented sites were examined, [...] Read more.
This study, conducted in the framework of the LIAISE field campaign in NE Spain (May–September 2021), investigates how near-surface relative humidity influences early-stage rainfall characteristics when precipitation is most affected by temperature and relative humidity before rainfall onset. Two instrumented sites were examined, using disdrometers, Micro Rain Radar (MRR), C-band weather radar data, and automatic weather stations. Rainfall events were first classified as stratiform or convective using weather radar data based on a texture analysis of the reflectivity field. Then, only stratiform events were selected and further classified into dry and moist categories according to the upper and lower terciles of near-surface (2 m) relative humidity at the rainfall onset (dry < 54%; moist > 72%). Results show that during dry events, the time delay between the detection of precipitation at ~750 m above ground level (AGL) (by MRR or C-band radar) and its arrival at the surface (measured by the disdrometer) is consistently longer than during moist events, indicating possible evaporation of raindrops during their descent. Surface drop size distributions also differ: dry cases have generally fewer small drops (with diameters < 0.8 mm) but relatively more large drops, leading to higher radar reflectivity values despite similar surface rainfall amounts. However, reflectivity observed aloft by C-band radar and MRR does not present the dependence on relative humidity found at ground level. Findings reported here increase our understanding of the impact of low-level conditions on precipitation characteristics and microphysical associated processes and may contribute to improve correction schemes in operational weather radar quantitative precipitation estimates. Full article
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