remotesensing-logo

Journal Browser

Journal Browser

Advances in Remote Sensing and GIS for Agricultural Disaster Monitoring and Management

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: closed (15 June 2025) | Viewed by 2231

Special Issue Editors

Faculty of Resources and Environmental Science, Hubei University, 368 Youyi Road, Wuhan 430062, China
Interests: agro-geoinformatics; agricultural disasters; geospatial interoperability and standards; EO systems; GeoAI
Special Issues, Collections and Topics in MDPI journals
Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA
Interests: AI/machine learning; geographic information science and systems; agro-geoinformatics; cyberinfrastructure
Special Issues, Collections and Topics in MDPI journals
College of Humanities and Social Sciences, United Arab Emirates University, Sheik Khalifa Bin Zayed Street, Al Ain, Abu Dhabi P.O. Box 15551, United Arab Emirates
Interests: agro-geoinformatics; crop mapping; urban redevelopment; economic GIS; GeoAI; digital twin; flood hazards
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Center for Spatial Information Science and Systems, George Mason University, 4400 University Drive, Fairfax, VA 22030, USA
Interests: artificial intelligence; crop mapping; crop monitoring and forecasting; crop yield modeling; data mining; cloud computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

On our planet, 2.6 billion people draw their livelihoods mostly from agriculture. However, the agriculture sector is highly vulnerable to natural disasters and climate change, which can have severe consequences on food security, economic stability, and rural livelihoods. In recent decades, remote sensing and GIS technologies have emerged as valuable tools for agricultural disaster monitoring and management. Moreover, advancements in information technologies, such as deep learning, cloud computing, sensor web, and cyberinfrastructure, have provided a big picture of exploring geospatial applications for agricultural disaster “from farm to space”.

With this background in mind, in this special issue, we are inviting submissions for this special issue that focus on innovative approaches and applications related to the most prevalent agricultural disasters, including droughts, floods, hurricanes, wildfires, diseases, and infestations. We encourage the submission of original research and review articles that address various aspects of natural disaster risk identification, emergency response, and their impacts on agriculture sustainability and food security.

The potential topics include, but are not limited to:

  • Remote sensing-based agricultural disaster risk identification, emergency response, and impact assessment;
  • Remote sensing-based agricultural disaster indicators;
  • Integrative methods for agricultural disaster monitoring;
  • Machine learning, deep learning, and AI-based methods in agricultural disaster monitoring;
  • Agricultural disaster knowledge graph and information model;
  • Agricultural disaster monitoring and mapping with geoinformatics;
  • Crop loss assessment due to natural disasters;
  • Remote sensing of flood and drought dynamics;
  • Wildfire and burnt area mapping;
  • Agricultural environment and public health;
  • Geospatial information system for agricultural disaster management;
  • Agricultural disaster SDIs;
  • FAIR geospatial data for agricultural disaster;
  • Agro-geodatacubes for disaster impact assessment;
  • Big data processing and cloud computing for agricultural disaster applications;
  • Emerging information technologies and their applications in agricultural disaster;

Dr. Lei Hu
Dr. Chen Zhang
Dr. Li Lin
Dr. Yahui Di
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
  • GIS
  • agro-geoinformatics
  • agricultural disaster
  • disaster risk reduction
  • reproducible EO science
  • FAIR

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

32 pages, 8605 KB  
Article
Three-Dimensional Identification and Characterization of Drought Events in the Loess Plateau
by Simian Wu, Zichen Yue and Wenhui Wang
Remote Sens. 2025, 17(17), 3049; https://doi.org/10.3390/rs17173049 - 2 Sep 2025
Viewed by 617
Abstract
Understanding the propagation of drought from meteorological anomalies to vegetation stress is critical for risk assessment, yet traditional methods often fail to capture the complete spatiotemporal evolution of drought events. This study identified meteorological and vegetation drought events across three dimensions (two-dimensional space [...] Read more.
Understanding the propagation of drought from meteorological anomalies to vegetation stress is critical for risk assessment, yet traditional methods often fail to capture the complete spatiotemporal evolution of drought events. This study identified meteorological and vegetation drought events across three dimensions (two-dimensional space and one-dimensional time) in the Loess Plateau of China from 2001 to 2022. As a result, the area, duration, severity, and migration of each event were characterized to reveal their spatiotemporal patterns. We identified 39 meteorological and 63 vegetation events, which show strong concordance with historical records. Results show that while meteorological droughts exhibited cyclical patterns, vegetation droughts showed a significant mitigating trend post-2010. The central Loess Plateau consistently emerged as the primary hotspot for drought frequency and severity, with events concentrated in spring and summer. Analysis of 20 matched meteorological-vegetation event pairs indicates that post-2010, the response of vegetation to meteorological drought was delayed, suggesting enhanced drought resistance of the vegetation following ecological restoration. These findings provide a scientific basis for regional drought risk assessment and offer quantitative evidence of the effectiveness of ecological restoration. Full article
Show Figures

Figure 1

Back to TopTop