Remote Sensing (ISSN 2072-4292) is a leading international, peer-reviewed, open access journal covering the science and the application of remote sensing technology. Its 2020 impact factor is 4.848. The website of Remote Sensing can be accessed at the following link: https://www.mdpi.com/journal/remotesensing.

We are currently recruiting prestigious scholars from around the world to join our Editorial Board for the following 17 Sections:

• Atmosphere Remote Sensing;
• Remote Sensing in Geology, Geomorphology and Hydrology;
• Ocean Remote Sensing;
• Forest Remote Sensing;
• Remote Sensing in Agriculture and Vegetation;
• Remote Sensing Image Processing;
• Biogeosciences Remote Sensing;
• Urban Remote Sensing;
• Environmental Remote Sensing;
• Coral Reefs Remote Sensing;
• Engineering Remote Sensing;
• Remote Sensing Letter;
• AI Remote Sensing;
• Satellite Missions for Earth and Planetary Exploration;
• Ecological Remote Sensing;
• Earth Observation Data;
• Earth Observation for Emergency Management.

The main responsibilities of Editorial Board Members are as follows:

• Pre-checking and making decisions for several manuscripts, based on your area of expertise;
• Acting as, or recommending, a Guest Editor for a Special Issue on a topic related to your research interests;
• Promoting Remote Sensing and increasing its visibility on related academic social media. 

The benefits of becoming an Editorial Board Member (EBM) include the following:

• The opportunity to publish one paper free of charge per year in Remote Sensing, as well as certain discounts for papers invited from your scientific network;
• A certificate recognizing you as an Editorial Board Member of Remote Sensing;
• Remote Sensing may offer sponsorship for conferences organized by you;
• Remote Sensing may offer travel grants of CHF 300–500 per year for conferences that you attend or organize. 

To apply for this position (in one of our Sections), recommend potential candidates, or request further information, please contact the Remote Sensing Editorial Office (remotesensing@mdpi.com) with the following two files attached:

• A full academic CV;
• A short cover letter that details your interest and enthusiasm for the position. 

Remote Sensing Editorial Office