Remote Sensing and Smart Forestry (Third Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 108
Special Issue Editors
Interests: remote sensing; machine learning; artificial intelligence; cloud computing; parallel and distributed computing
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing for wetlands; artificial intelligence and digital twin for forest and wetlands
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; cybersecurity and privacy; cyber-physical systems; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Special Issue entitled “Remote Sensing and Smart Forestry (Third Edition)” welcomes papers dealing with smart forestry construction and presents the scientific research achievements of remote sensing applications in the field of forestry in a concentrated way.
Forests are the basis of human survival and development, and rapid and accurate acquisition of forest change information is of great significance for the sustainable development of ecological environment. Remote sensing plays a big role in studying and providing management decision support mainly including: forest resources survey, forest fire monitoring, forest pests and diseases monitoring, and forest resources dynamic monitoring.
The vertical structure of forest ecosystem and the rough terrain under the forest canopy are very complex, which presents a great challenge to the existing remote sensing monitoring technology. The improvement of spatial resolution and spectral resolution of remote sensing technology, as well as the development of radar remote sensing, aerial remote sensing and UAV remote sensing, which provide rich information sources for forestry remote sensing and broaden the applications of forestry remote sensing.
Special attention will be paid to the application of remote sensing-based smart forests, and this Special Issue aims to do just that. The papers will be reviewed and selected by the academic committee and recommended for publication in Remote Sensing. We kindly invite experts and scholars in related fields to contribute novel and original research to enrich our research community.
Prof. Dr. Weipeng Jing
Prof. Dr. Huaiqing Zhang
Dr. Houbing Song
Dr. Chao Li
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
- remote sensing
- smart forestry
- intelligent forestry
- forestry technology
- virtual reality
- artificial intelligence
- image processing
- remote sensing classification
- LiDAR application in forestry
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Related Special Issue
- Remote Sensing and Smart Forestry II in Remote Sensing (8 articles)
