High-Resolution Soil Moisture Products for Hydrology, Agriculture, and Hazard Applications

Dear Colleagues,

Soil moisture is an essential component of the Earth's hydrological and energy cycles, profoundly affecting processes such as infiltration, runoff, evapotranspiration, and plant growth. High-resolution soil moisture data are essential for capturing spatial and temporal variability at scales relevant to hydrology, agriculture, and hazard management. Recent advancements in remote sensing technologies, data assimilation techniques, and computational modeling have facilitated the development of high-resolution soil moisture products. These innovations enhance our ability to monitor and predict hydrological phenomena, optimize agricultural practices, and manage natural hazards like floods, droughts, and landslides.

The aim of this Special Issue is to showcase cutting-edge research on the development and application of high-resolution soil moisture products. This includes the use of multi-sensor data, machine learning techniques, and integrated approaches that improve the accuracy and spatial detail of soil moisture products for various applications, such as hydrology, precision agriculture, and hazard assessment. This Special Issue encourages submissions that align with the journal’s scope of advancing remote sensing technologies and applications across multiple fields.

• Advances in high-resolution soil moisture retrieval techniques from remote sensing data;
• Data fusion methods combining satellite, airborne, and in situ observations;
• The validation and calibration of soil moisture products using ground measurements;
• The integration of high-resolution soil moisture data into hydrological and agricultural models;
• Applications in drought and flood monitoring, early warning systems, and hazard risk assessment;
• Conceptual and review articles that discuss challenges and future directions in high-resolution soil moisture monitoring. 

Dr. Yuchuan Luo
Dr. Juan Cao
Dr. Peng Zhu
Guest Editors

Jichong Han
Guest Editor Assistant

Name:  Jichong Han    
Affiliation: Joint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, School of National Safety and Emergency Management, Beijing Normal University, Beijing, China
Address: hanjichong@mail.bnu.edu.cn
Interests: remote sensing; soil moisture remote sensing; hazard impact on agriculture; earth system and climate science; land cover

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.