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UAS Applications in Agroforestry
This special issue belongs to the section “Forest Remote Sensing“.
Special Issue Information
Dear Colleagues,
With the development of compact and light sensors and the increased carrying capacity of UAVs, the use of UAV platforms with single or multiple sensors can quickly and non-destructively obtain large amounts of data of objects on the ground. This technology has obvious advantages and broad application prospects in many fields such as agriculture, forestry and ecological environments. It has become an important remote sensing tool for crop growth monitoring, yield estimation, nutrition diagnosis, pest and disease monitoring, field management, and forest and grassland resource assessment.
This special issue aims to present the latest UAV remote sensing data processing technology and showcase its latest research trends and application prospects in related agricultural and forestry fields, with an overall goal to promote the research and sustainable development of UAV remote sensing technology in agriculture and forestry.
We particularly welcome contributions that include, but are not limited to, the following topics:
- Data processing and analysis methods about UAS technology;
- Application of UAS technology in precision agriculture;
- Application of UAS technology in forestry monitoring;
- Application of UAS technology in grassland monitoring.
Dr. Xiaoyu Song
Dr. Chenghai Yang
Prof. Dr. Wenjiang Huang
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 250 words) can be sent to the Editorial Office for assessment.
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
- UAS data processing
- UAS data analysis methods
- crop growth monitoring
- yield estimation
- crop nutrition diagnosis
- forest monitoring
- grassland monitoring
- pest monitoring
- disease monitoring
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