Multi-Sensor Remote Sensing for Drought Characterization and Monitoring

Dear Colleagues,

The special issue “Multi-Sensor Remote Sensing for Drought Characterization and Monitoring” aims to explore the latest advancements and research trends in the use of multi-sensor remote sensing data to understand, characterize, and monitor drought phenomena.

Drought is a complex natural hazard with profound environmental, social, and economic impacts, which will lead to a series of problems, such as agricultural production, food security, and sustainable development of ecosystems. Accurate and timely monitoring of drought is crucial for early warning, mitigation, and adaptation strategies. Remote sensing provides a valuable tool for drought characterization and monitoring, offering a wide range of data sources from various sensors and platforms, which enable the large-scale and continuous observation of key drought-related variables.

This special issue invites original research articles, review papers, and technical notes that focus on the following topics:

• Development and evaluation of novel algorithms and techniques for drought detection, characterization, and monitoring using multi-sensor remote sensing data.
• Integration of data from various remote sensing platforms, including optical, thermal, and microwave sensors, for drought assessment and monitoring.
• The application of advanced machine learning and artificial intelligence techniques to improve the accuracy and efficiency of drought detection and monitoring.
• Validation and comparison of remote sensing-based drought indicators and indices with ground-based observations and other drought monitoring tools.
• Assessment of the impacts of climate change and variability on drought occurrence, intensity, and duration using remote sensing data.
• Case studies demonstrating the operational implementation of multi-sensor remote sensing data for drought management and decision-making.

We encourage submissions from researchers and professionals working in the fields of remote sensing, geography, meteorology, hydrology, environmental science, and related disciplines. By contributing to this special issue, authors will have the opportunity to showcase their cutting-edge research and promote the exchange of ideas and knowledge among the scientific community.

Dr. Peijuan Wang
Dr. Liang Sun
Dr. Jianying Yang
Dr. Hua Wu
Dr. Ehsan Sharifi
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.