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

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.

• remote sensing
• GIS
• agro-geoinformatics
• agricultural disaster
• disaster risk reduction
• reproducible EO science
• FAIR