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

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-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.