Vegetation Detection and Ecosystem Carbon Modeling
A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Ecology".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 320
Special Issue Editors
Interests: vegetation detection; biomass and carbon modeling; ecosystem carbon dynamics; forest and agro-ecosystem monitoring; climate change mitigation
2. Department of Biology, Faculty of Science, Mahasarakham University, Maha Sarakham 44150, Thailand
Interests: forest carbon stock assessment; deforestation and carbon emissions; remote sensing of vegetation; ecosystem carbon sequestration; machine learning for carbon modeling
Special Issue Information
Dear Colleagues,
Understanding how vegetation structure influences ecosystem carbon storage is essential for advancing ecological research, climate-change mitigation, and evidence-based environmental management. Recent progress in vegetation detection—driven by remote sensing, UAV imagery, machine learning, and advanced image analysis—has dramatically improved our ability to quantify plant structure, monitor vegetation dynamics, and evaluate spatial–temporal changes across complex landscapes. At the same time, ecosystem carbon modeling has evolved into a crucial scientific tool for estimating biomass, assessing carbon sequestration, and analyzing ecosystem-level carbon fluxes under natural and anthropogenic disturbances.
This Special Issue, “Vegetation Detection and Ecosystem Carbon Modeling,” seeks to bring together high-quality research that integrates plant science, ecological processes, and quantitative modeling. We invite contributions focusing on vegetation characterization, biomass and carbon estimation, ecological carbon dynamics, forest and agro-ecosystem monitoring, and methodological innovations supporting climate-change mitigation. Studies utilizing remote sensing, UAV systems, field observations, allometric approaches, carbon-cycle modeling, machine learning, ecological simulations, and ecosystem-process assessments are particularly welcome.
The aim of this Special Issue is to provide a focused collection for researchers working at the interface of vegetation science and ecosystem carbon modeling. Submissions that introduce new approaches, present improved analysis methods, or offer practical insights for carbon management and sustainable ecosystem conservation are highly encouraged.
Dr. Teerawong Laosuwan
Dr. Yannawut Uttaruk
Guest Editors
Manuscript Submission Information
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Keywords
- vegetation detection
- ecosystem carbon modeling
- biomass estimation
- carbon dynamics
- forest and agro-ecosystem monitoring
- remote sensing
- allometric modeling
- machine learning
- UAV imagery
- climate-change mitigation
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