Vegetation and Remote Sensing Phenology in Deciduous Forests
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: 31 October 2025 | Viewed by 1440
Special Issue Editors
Interests: forest ecosystem sensitivity and resilience; vegetation phenology; carbon dynamics
Interests: temperate deciduous forest; tree phenology; shrub phenology; invasive species
Interests: plant/vegetation phenology; bioclimatology; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: vegetation phenology; carbon cycle of forest ecosystems
Interests: vegetation dynamics under global change; remote sensing application in eco-environment
Interests: plant/land surface phenology; climate change; vegetation dynamic; global change ecology
Interests: vegetation phenology; phenology modeling; climate change
Interests: land surface phenology; tropical forest long-term dynamics; human-climate interactions; satellite data-fusion; time series analysis
Special Issue Information
Dear Colleagues,
The primary objective of this Special Issue (SI) is to advance our understanding of deciduous forest ecosystems by examining the seasonal patterns and dynamics of vegetation growth, leaf emergence, flowering, and senescence, as well as its broader implications for ecosystem management, biodiversity conservation, and climate change mitigation. This SI aims to provide a comprehensive overview of the latest advancements in remote sensing technologies and methodologies that enable the precise monitoring and analysis of phenological events in deciduous forests. By bringing together cutting-edge research, we hope to foster new insights and strategies for sustaining these vital ecosystems in a changing world.
The articles within this SI can span a range of topics, from the development of novel algorithms for phenological metric extraction to the application of satellite data in tracking phenological changes across diverse regions. The contributions will highlight the efficacy of remote sensing in delineating the intricate dynamics of deciduous forests with an unprecedented level of detail and accuracy.
This SI encourages an interdisciplinary approach, inviting contributions from ecologists, geographers, remote sensing specialists, climatologists, and environmental scientists. The synergy of these diverse perspectives enriches our collective grasp of deciduous forest phenology and its broader ecological significance. As the field continues to evolve, we anticipate that the studies presented here will inspire further inquiry and innovation, contributing to the advancement of ecological and global change studies.
We invite submissions that explore innovative methodologies, case studies, and theoretical advancements in vegetation and remote sensing phenology. Topics of interest include, but are not limited to, new techniques for enhancing the accuracy of phenological data (such as the use of machine learning algorithms, big data analytics, or the fusion of multi-source remote sensing datasets), the impact of climate change on phenological shifts, and the integration of vegetation phenology with vegetation or climate models.
Dr. Rong Yu
Dr. Alison Donnelly
Dr. Liang Liang
Dr. Jingru Zhang
Dr. Shilong Ren
Dr. Shuai An
Dr. Weiguang Lang
Dr. Yu Shen
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
- vegetation phenology
- remote sensing
- deciduous forests
- precise monitoring
- machine learning
- big data analytics
- multi-source remote sensing datasets
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