Special Issue "Editorial Board Members’ Collection Series: Remote Sensing of Forest Ecosystems"

Dear colleagues,

Over the last four decades, remote sensing has evolved as a powerful research tool in enhancing our understanding of forest ecology and driving the solutions for the management of the forest’s ecosystem. Remote sensing allows for the measurement and monitoring of the forest’s structure, biodiversity, dynamics and biogeochemistry on various temporal and spatial scales, from individual trees to the level of entire continents. The last decade has seen a proliferation of novel ground and airborne technologies and advanced data analytics, such as TLS and machine learning, that are providing an increasing level of detail and expanding our knowledge on the forest’s structure and functioning and on the services of the ecosystem.

The aim of this Collection is to provide a platform for the exchange of information and ideas concerning the applications of established, as well as proof of concept papers concerning emerging, remote sensing technologies and analysis techniques to advance understanding and inform on the sustainable use and management of forested ecosystems. We are particularly keen to see submissions that demonstrate the utility of remote sensing technologies and/or advanced data analysis techniques for quantifying the forest’s structure and functioning and ecosystem services in relation to intensifying anthropogenic and climate pressures, and how these tools are being applied to drive and support sustainable management implementation mechanisms and policy solutions.

We advocate an inclusive approach and welcome all papers where remote sensing technologies are applied to understand terrestrial vegetation’s structure, dynamics, ecology and biogeochemistry. Specific topics can include terrestrial, airborne (drone/plane) and satellite, LIDAR, photography, multispectral and hyperspectral imaging, radar, data fusion, machine learning and models and examples of any other novel remote sensing technology which can be applied to forest and vegetation analysis and the evaluation of ecosystem services.

The manuscripts for this important Topical Collection of Remote Sensing will be accepted by the Editorial Office, the Editor-in-Chief and Editorial Board members by invitation only.

Dr. Joanne Nightingale
Dr. Nikolay Strigul
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 2500 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.

• forest ecology
• LIDAR
• multispectral remote sensing
• hyperspectral remote sensing
• radar
• forest modeling
• terrestrial biogeochemistry
• ecosystem services
• nature recovery
• forest management
• machine learning