High-Resolution Multisource Remote Sensing of Vegetation: Biomass, Structure, and Carbon Dynamics
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 30 January 2026 | Viewed by 105
Special Issue Editors
Interests: vegetation production; vegetation remote sensing; plant payment content; climate change
Interests: vegetation biophysical parameters; retrieval methods; phenology; vegetation monitoring
Interests: vegetation biophysical parameters; time series analysis; deep learning model; vegetation dynamics
Special Issues, Collections and Topics in MDPI journals
Interests: vegetation productivity; mountainous areas; surface topography; process models
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent years have seen the launch of an increasing number of satellites equipped with visible, near-infrared, Lidar, and microwave sensors, leading to the growing availability of high-spatial-resolution (less than 30 m) remote sensing data for the detection of vegetation dynamics. Scholars have developed and produced numerous types of high-spatial-resolution vegetation data, such as vegetation structural data (e.g., leaf area index, clumping index, vegetation cover, etc.), vegetation functional data (e.g., vegetation pigment content, photosynthetic capacity), and data on carbon dynamics (e.g., vegetation productivity, biomass), based on the latest high-spatial-resolution remote sensing data from Landsat, Sentinel-2, Planet Scope, Gaofen, and the Global Ecosystem Dynamics Investigation (GEDI) instrument series. These high-spatial-resolution data are highly beneficial to research fields addressing issues such as global change, food security, and forest ecosystem services, opening new doors for Earth science research.
This Special Issue aims to publish studies covering the high-spatial-resolution data acquired by multisource remote sensing platforms in vegetation and carbon dynamic sciences. Topics may cover, but are not limited to, the development, comparison, and validation of high-spatial-resolution remote sensing vegetation algorithms and products; novel high-spatial-resolution remote sensing vegetation data related to biomass, vegetation structure, and plant production; and vegetation or carbon dynamic analysis based on high-spatial-resolution remote sensing data.
- Development of high-spatial-resolution remote sensing (HiRS) vegetation algorithms and products.
- Comparison or validation of HiRS vegetation products.
- Novel HiRS vegetation data related to biomass, vegetation structure and plant production, etc.
- Carbon dynamic analysis based on HiRS vegetation products.
- Monitoring vegetation dynamics with HiRS vegetation data.
Dr. Shangrong Lin
Prof. Dr. Gaofei Yin
Dr. Guodong Zhang
Dr. Xinyao Xie
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
- high-spatial-resolution vegetation remote sensing product
- carbon dynamic
- biomass
- vegetation structure parameters
- vegetation monitoring
- lidar based vegetation products
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