Remote Sensing for Modeling and Understanding Land-Atmosphere Interaction Processes

Dear Colleagues,

Land–atmosphere interactions play a crucial role in shaping hydroclimatic patterns and ecosystems through the exchange of energy, water, and carbon between land surface and the atmosphere. They also influence the occurrence and severity of extreme disasters. These interactions are complex and encompass a range of physical and biological processes, including soil moisture, evapotranspiration, runoff, snow cover, vegetation, etc. Understanding and accurately modeling them is key for climate prediction, natural resources management, and addressing environmental challenges. Remote sensing has become an invaluable tool to monitor these processes, offering insights across various spatial and temporal scales. With the advances in remote sensing techniques, modelling methods, and data analytics, there is an unprecedented opportunity to refine our models and deepen our understanding of land–atmosphere interactions.

This Special Issue aims to bring together the latest advances in remote sensing techniques and their application to the modeling of land–atmosphere interactions. It will provide a comprehensive overview of how remote sensing enhances our understanding of these interactions and improve predictive models for climate, hydrology, and environmental sciences. This topic is closely aligned with the journal's scope, which focuses on innovative remote sensing techniques and their integration into environmental and geospatial sciences. By presenting cutting-edge research in this area, this Special Issue will contribute to advancing both theoretical knowledge and practical applications related to land–atmosphere interactions.

We invite contributions from a variety of disciplines, including geography, climatology, hydrology, ecosystem, and disaster management, all related to remote sensing and land–atmosphere interactions. The suggested themes include, but are not limited to, the following:

1. Land-atmosphere interactions;
2. Soil moisture dynamics;
3. Vegetation ecosystems;
4. Evapotranspiration processes;
5. Land use/land cover change;
6. Land-atmosphere heat exchange;
7. Carbon cycle and carbon emission monitoring;
8. Climate change and weather prediction;
9. Monitoring and early warning of extreme events;
10. Improvement or validation of land surface model.

Dr. Ren Wang
Prof. Dr. Dagang Wang
Dr. Wenbin Zhu
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.