Carbon Cycle, Global Change, and Multi-Sensor Remote Sensing

Dear Colleagues,

Human-induced land use/cover changes, especially deforestation and forest degradation, have been regarded as an important factor influencing global climate and environmental changes, and are important factors resulting in high uncertainty of biomass/carbon budget estimation. It is critical to develop high-quality land use/cover datasets and forest biomass/carbon dynamics at different scales for accurate understanding of carbon cycling and the relevant global changes. Remote sensing techniques and relevant models are important tools for examining land use/cover change, estimating carbon dynamics, and exploring the human-environment interactions.

This Special Issue on “Carbon Cycle, Global Change, and Multi-sensor Remote Sensing” calls for papers that present original research work on the following broad topics:

1) Application of remote sensing techniques to carbon cycle and global change
2) Application of new sensors/algorithms to biomass/carbon dynamics estimation
3) Integration of multi-sensor data for land use/cover classification
4) Integration of multi-temporal data for land use/cover change detection

Prof. Dengsheng Lu
Prof. Guomo Zhou
Prof. Conghe Song
Prof. Guangxing Wang
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.