Remote Sensing-Assisted Forest Inventory Planning
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 228
Special Issue Editors
Interests: remote sensing; forest inventory; statistics; survey sampling
Interests: remote sensing; forest inventory; statistics; survey sampling
Interests: forest management; forest IT; remote sensing; GIS applications; terrain mobility
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the challenges brought on by climate change, energy consumption and economic growth, the sustainable utilisation of forest resources and environmental protection is extremely essential to achieve the sustainable development of human societies. Remote sensing plays a critical role in improving understanding of forest structure, ecosystem functions, as well as their interactions with human societies and climate drivers. In recent years, a large amount of remotely sensed data (e.g., multispectral, hyperspectral, LiDAR, and Synthetic Aperture Radar) and a large variety of platforms (e.g., satellite, airborne, unmanned aerial vehicles, and ground-based) have emerged to provide us with a powerful tool to precisely estimate and monitor forest resources. Remote sensing not only streamlines the traditional forest inventory procedure, but also provides invaluable real-time insights into dynamic changes in forest cover, carbon sequestration and biodiversity.
This Special Issue on “Remote Sensing-assisted Forest Ecosystem Inventory and Management” centres on leveraging remote sensing for promoting forest ecosystem management with cutting-edge theories and techniques. Topics include but are not limited to:
- Forest inventory and monitoring
- Forest management planning
- Design-based inference
- Model-based inference
- Uncertainty analysis
- Survey sampling
- Optimization
- Simulation
- Modelling
Prof. Dr. Zhengyang Hou
Dr. Qing Xu
Prof. Dr. Timo Tokola
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
- forest ecosystems
- forest management
- forest inventory
- forest planning
- biostatistics
