Global Vegetation Cover Estimated from Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 43
Special Issue Editors
Interests: land–atmosphere interaction; remote sensing; carbon cycle; ecohydrology; vegetation physiological responses
Interests: lidar; forest; biomass; vegetation; change detection; environmental studies; forest inventories
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past few decades, global vegetation cover has undergone significant changes influenced by both climate change and human activities. Significant greening has been observed worldwide, particularly in the northern mid-to-high latitudes, where increased vegetation coverage is responsible for such greening. Comparatively, vegetation cover in tropical and subtropical regions has not experienced significant changes, indicating relatively stable coverage over the past few decades. Such vegetation coverage changes would have large potential for climate mitigation, as well as local ecological conservation and restoration. Thus, conducting thorough studies is a high priority for estimating global vegetation cover in recent decades.
Remote sensing technologies have been developed for decades and are widely used to estimate and monitor global vegetation coverage changes, taking advantage of its relatively long-term nature and fine-scale observations. Therefore, remote sensing could serve as an important tool for estimating global vegetation cover, utilizing observations from various sensors and instruments. Machine learning has also been a popular approach for estimating global vegetation cover in recent years to specify the driving mechanisms and shape the distributions of global vegetation. This Special Issue will incorporate different useful methods and multi-sourced data to accurately estimate global vegetation cover at fine spatiotemporal scales.
Dr. Mingzhu He
Dr. Markus Hollaus
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.
Keywords
- vegetation coverage
- remote sensing
- multi-sourced data
- machine learning
- data fusion
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
