Comprehensive Monitoring Technologies in Wetland and Cropland
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Agricultural Science and Technology".
Deadline for manuscript submissions: closed (20 January 2024) | Viewed by 1053
Special Issue Editors
Interests: multi-source image fusion; water color remote sensing; agricultural remote sensing
Interests: wetland remote sensing; water color remote sensing; atmospheric correction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The trade-offs of wetland and cropland generate new challenges for global carbon cycling and food supplying in understanding the balance of human–natural system. Innovations in remote sensing, Internet of Things (IoTs), smart equipments, and deep learning algorithms will facilitate the new potential to investigate such complex system more conveniently, accurately, and comprehensively.
Hence, this Special Issue focuses on the application of up-to-date deep learning models and the development of novel instruments to improve the monitoring of wetland, inland water, crops, and environments. Moreover, it also aims to compile the latest achievements within the topic and open up a platform where scholars can contribute their unique findings. Potential topics include, but are not limited to, those covered in the keywords.
Dr. Yulong Guo
Dr. Ge Liu
Guest Editors
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Keywords
- remote sensing
- wetland
- cropland
- inland water
- smart equipment
- deep learning
- IoTs
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