Remote Sensing and Smart Forestry
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: closed (20 November 2022) | Viewed by 59231
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: artificial intelligence; visualization simulation and virtual reality for forestry
Special Issues, Collections and Topics in MDPI journals
Interests: quantitative remote sensing in forestry; application of LiDAR in forestry; digital forest resource monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; image processing; remote sensing classification
Special Issues, Collections and Topics in MDPI journals
Interests: smart forestry; smart landscape; information processing for remote sensing; software engineering
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” 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.
Remote sensing plays a big role in studying and providing management decision support for large spatial extents quickly and effectively, which in a certain way improves the speed of smart forestry construction and improves the level of forestry information management. Technological development, integration and adoption in forestry continues to grow, therefore the application of advanced forestry technology has become the current focus in the research into the development of forestry. The use of remote sensing equipped with different types of sensors in forestry has especially been gaining attention for its different applications in forestry.
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
Prof. Dr. Hua Sun
Prof. Dr. QiaoLin Ye
Prof. Dr. Fu Xu
Prof. Dr. Houbing Song
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
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