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Special Issue "Remote Sensing of the Russian Boreal Forest"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 6293
Special Issue Editors
Interests: remote sensing; vegetation; boreal forest
Interests: remote sensing of polar regions; snow cover; glaciers; high-latitude vegetation; animals at high latitudes
Special Issues, Collections and Topics in MDPI journals
Special Issue in Remote Sensing: Cryospheric Remote Sensing II
Special Issue in Remote Sensing: Cryospheric Remote Sensing III
Special Issue in Remote Sensing: Remote Sensing in Glaciology and Cryosphere Research
Special Issue Information
The boreal forest is the world’s largest terrestrial biome, accounting for about a third of the global forest area, and is of major climatic significance. Its size, remoteness and climate render it particularly difficult to study, and remote sensing methods have already proven themselves extremely valuable, although challenges remain. This is especially true of the Russian boreal forest, for which we have comparatively little up-to-date baseline data on biomass, carbon storage, etc. However, the increasing availability of high-quality data products from visible near-infrared remote sensing systems at a range of spatial and temporal resolutions and swath widths, together with emerging technologies for field-scale and landscape-scale data collection, are beginning to enable us to improve our understanding of the spatiotemporal variations in the biophysical parameters of the Russian boreal forest and their links to climatic and nonclimatic disturbances. As Guest Editors of this Special Issue, we invite contributions across the widest possible range of approaches to this area of research, including but not limited to: field methods, UAV (‘drone’) platforms, LiDAR techniques, upscaling, biomass estimation, allometric relations, hyperspectral remote sensing, optical, radar and thermal imagery, as well as their combinations, very high-resolution imagery, vegetation indices, leaf area index estimation, climate–vegetation interactions, anthropogenic disturbance of forest, forest fire remote sensing, citizen science, etc.
Dr. Olga Tutubalina
Dr. Gareth Rees
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.
- Boreal forest
- Calibration and validation
- Algorithm development
- Remote sensing