Mapping, Modeling, and Monitoring Forest Change and Carbon Dynamics
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".
Deadline for manuscript submissions: 25 April 2026
Special Issue Editors
Interests: multi-source remote sensing; forest structural parameters modelling; forest change detection; forest biomass
Special Issues, Collections and Topics in MDPI journals
Interests: Image classification; radiometric normalization of satellite image; data fusion;
Special Issues, Collections and Topics in MDPI journals
Interests: multispectral remote sensing; vegetation parameter retrieval and spatio-temporal reconstruction; forest cover change monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; forest disturbance; carbon budget model
Special Issues, Collections and Topics in MDPI journals
Interests: land cover and land use change; vegetation structure and dynamics; disturbance, habitat, and carbon
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Forests are disturbed and degraded due to various natural factors, such as extreme drought and precipitation, typhoons, pests, and diseases, as well as human factors, including logging and harvesting, changes in land use types, and deforestation for farming. Simultaneously, they can recover by implementing policies such as forestry management measures and forest ecosystem protection projects. Both disturbances and restorations will reflect changes in forests' spatial and temporal distribution, increasing the uncertainty of achieving carbon targets and responding to global climate change. Therefore, it is essential to perform precise monitoring and evaluation of the forest change process and integrate it with various methods and models to accurately estimate carbon storage in forest ecosystems. Remote sensing provides essential data for monitoring forest cover and evaluating carbon, supports the development of various algorithms and models, and plays a crucial role in global and regional forest carbon management and assessment. Integrating multimodal remote sensing and methods to generate high-quality monitoring and assessment results aids in guiding sustainable forest management strategies, responding to and adapting to extreme climate events, and achieving the goal of mitigating climate change. This Special Issue welcomes studies about new insights, novel approaches, or findings in forest cover change detection, forest biomass, and carbon evaluation. We also welcome interdisciplinary contributions that emphasize the critical role of mapping, modeling, and monitoring forest change and carbon dynamics.
Dr. Wenjuan Shen
Dr. Wenli Huang
Dr. Danxia Song
Dr. Weishu Gong
Prof. Dr. Chengquan Huang
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. Forests is an international peer-reviewed open access monthly 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 2600 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
- forest cover mapping
- disturbance detection
- biomass modeling
- carbon accounting
- climate-smart forestry
- AI-based forest characterization
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