Biomass Remote Sensing in Forest Landscapes II

Dear Colleagues,

Forests play an important role in mitigating climate change. The quantification of forest aboveground biomass is useful in forest carbon cycle studies and climate change mitigation actions. Therefore, it is particularly important to obtain accurate spatiotemporal distribution information. With the growth of biomass estimation from sample plot research to regional application, the increase in spatial scale creates challenges in obtaining macroscopic data and parameters. The remote sensing community has made several efforts to address the large-scale challenge of mapping forest carbon stores potential.

This Special Issue aims to collect outstanding contributions exploring the use of remote sensing methods to quantify forest and woodland biomass, carbon stocks, and the relationship of these factors with climate change.  This is the second edition; for previous information, please see: https://www.mdpi.com/journal/remotesensing/special_issues/f-biomass_RS.

We encourage better calibration and validation of biomass in forests by integrating ground-based and various satellite and Earth observation data. Contributions to various sensors and detections of airborne, unmanned, spaceborne, and other vehicles or combinations thereof are welcome.

Dr. Caixia Liu
Dr. Xiaoyi Wang
Dr. Qin Ma
Dr. Evgenii I. Ponomarev
Dr. Oleg Antropov
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 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.