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Satellite Remote Sensing for Meteorological Disaster Monitoring and Forecasting

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

Deadline for manuscript submissions: 30 December 2025 | Viewed by 353

Special Issue Editors


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Guest Editor
Institute for Environmental Research and Sustainable Development (IERSD), National Observatory of Athens (NOA), National Observatory of Athens, Athens, Greece
Interests: precipitation science; remote sensing of precipitation; storm and atmospheric electrical activity; numerical weather forecasting models
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Satellite remote sensing has changed meteorological science by allowing detailed and solid observation of Earth’s atmospheric and surface conditions. The climate change-driven increase in meteorological disasters like floods, droughts, heatwaves and wildfires makes remote sensing fundamental for monitoring, analyzing and forecasting such events. Satellite technology advancements provide crucial knowledge for disaster management, enhancing understanding and improving early warning systems. State-of-the-art monitoring and forecasting techniques are needed to mitigate possible impacts.

The aim of this Special Issue is to present recent developments in the use of satellite remote sensing for the monitoring and forecasting of meteorological disasters. It is expected to address core areas of geospatial science and environmental monitoring. Invited contributions may cover innovative techniques, data integration methods, and case studies that highlight the application of remote sensing for real-time disaster tracking, early warning, and post-disaster assessment.

In this Special Issue, original research articles and reviews are welcome. To provide a versatile survey of satellite remote sensing for meteorological disaster monitoring and forecasting, we invite submissions across a range of topics, including (but not limited to) the following:

  • Techniques for integrating satellite data with ground-based observations and model outputs;
  • Advanced data assimilation methods to improve meteorological disaster forecasting;
  • Real-time systems for early detection of meteorological hazards;
  • Recent satellite missions (e.g., GOES, Sentinel) designed for atmospheric monitoring;
  • Algorithm for automating disaster detection and tracking;
  • Studies linking satellite observation to climate-induced changes in disaster patterns;
  • Remote sensing for evaluating the impacts of meteorological disasters;
  • Techniques for assessing recovery and resilience in affected areas;
  • Novel remote sensing technologies (e.g., radar) that enhance disaster monitoring capabilities;
  • Applications of AI and machine learning in analyzing satellite data for forecasting.

Dr. Dimitrios Katsanos
Dr. Adrianos Retalis
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

  • meteorological hazards
  • extreme Precipitation
  • flash floods
  • early warning systems
  • droughts
  • wildfires
  • heat waves
  • meteorological disaster management

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Published Papers (1 paper)

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Research

22 pages, 17220 KiB  
Article
Spatiotemporal Evolution and Intensification of Extreme Precipitation Events in Mainland China from 1961 to 2022
by Weimeng Gan, Hao Guo, Ying Cao, Wei Wang, Na Yao, Yunqian Wang and Philippe De Maeyer
Remote Sens. 2025, 17(12), 2037; https://doi.org/10.3390/rs17122037 - 13 Jun 2025
Abstract
Under the context of global warming, extreme precipitation events have become more frequent and intense, causing substantial environmental and societal impacts. Using the daily gridded precipitation dataset (CHM_PRE) for mainland China, this study investigates the spatiotemporal evolution of extreme precipitation events from 1961 [...] Read more.
Under the context of global warming, extreme precipitation events have become more frequent and intense, causing substantial environmental and societal impacts. Using the daily gridded precipitation dataset (CHM_PRE) for mainland China, this study investigates the spatiotemporal evolution of extreme precipitation events from 1961 to 2022, focusing on regional disparities in frequency, event duration, and total precipitation. Events are further categorized based on peak frequency and the timing of peak intensity to reveal their distinct spatial and temporal characteristics. The results indicate the following: (1) From 1961 to 2022, the frequency of extreme precipitation events across most regions of mainland China exhibited a statistically significant increasing trend, especially in Xinjiang, where the average annual frequency rose by 56 times from 1961–1980 to 2000–2022. (2) Event durations show a general trend, with the most pronounced decline in Southwest China, where the overall duration and the duration above the 90th percentile decreased at Sen’s slopes of −6.4 × 10−2 and −6 × 10−3 days·year−1, respectively. (3) Event intensity has increased, especially in Southeast China, with peak and daily intensities rising at 2.9 × 10−2 mm·year−1 and 1.9 × 10−2 mm·day−1·year−1. (4) Short-duration events dominate Xinjiang, averaging 102 times per year and accounting for 35.58% of all events. (5) Events of varying durations display clear spatial differences: 2-day events are most frequent in Xinjiang, the Tibetan Plateau, Northwest China, and Northern China, while 4-day events are concentrated in Southeast China. Moreover, a nonlinear positive correlation between event duration and total precipitation volume suggests a complex interplay between precipitation persistence and intensity. Full article
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