Emerging Advances in Digital Forest Monitoring, Analysis, and Modeling
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 December 2024 | Viewed by 39
Special Issue Editor
Interests: earth system modeling; ecosystem biophysics and biogeochemistry; wildfires; natural greenhouse gases and nature-based climate solutions; machine learning and causal inference; remote sensing and GIS
Special Issue Information
Dear Colleagues,
Forests are critical in global energy–water–carbon cycles, biodiversity, climate mitigation and adaptation, and human socioeconomics. While there have been substantial investigations focusing on forests, the roles of forests in ecosystems, the climate, and human systems remain largely uncertain. Emerging advances in digital techniques, analysis, and modeling enable better the assessment and understanding of forest properties and processes across various spatial and temporal scales under environmental changes.
This Special Issue aims to synthesize and present current advanced digital techniques and their applications in the monitoring, analyzing, and modeling of forests, including, but not limited to, carbon stock, vegetation structure and traits, biophysical and biogeochemical processes, biodiversity, disturbances, forest resistance and resilience, forest management, human–forest interactions, natural climate solutions, and sustainable development. Research utilizing the following techniques are highly relevant to this Special Issue: remote sensing, Geographic Information Systems (GIS), air and ground observations (e.g., eddy covariance, chamber, and isotope), statistical analysis, machine/deep learning, digital twin, and Earth system modeling/terrestrial ecosystem modeling.
Dr. Fa Li
Guest Editor
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
- forests
- digital techniques
- remote sensing and GIS
- ground and air observations
- machine learning
- ecosystem analysis and modeling
