Innovations in Remote Sensing Technology for Resource and Environmental Monitoring
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 37
Special Issue Editors
2. Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria 0028, South Africa
Interests: data science; artificial intelligence; global change; regime shifts; non-linear drivers; modelling tools
Special Issues, Collections and Topics in MDPI journals
Interests: adoption of remotely sensed datasets in understanding urban land use; land covers; urban green spaces; urban ecosystem services; urban heat islands; climate change and urban transformation
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; GIS; geospatial modelling; surface hydrology; spatial ecology
Special Issues, Collections and Topics in MDPI journals
Interests: earth observation; remote sensing; GIS; machine learning; land cover and land use classification; management; leadership; strategic planning
Special Issue Information
Dear Colleagues,
This Special Issue aims to highlight the latest innovations and applications of remote sensing technology in monitoring natural resources and environmental changes. Articles which explore cutting-edge developments in sensor technology, data processing algorithms, and their integration with artificial intelligence and machine learning will feature. Key focus areas include high-resolution satellite imaging, LiDAR, UAV-based sensors, and hyperspectral imaging, which have significantly improved the accuracy and efficiency of resource assessment and environmental monitoring. Furthermore, the Issue emphasizes the role of remote sensing in addressing critical challenges, such as deforestation, water resource management, human settlement expansion, and climate change impacts.
Prof. Dr. George Johannes Chirima
Prof. Dr. John Odindi
Dr. Cletah Shoko
Prof. Dr. Paidamwoyo Mhangara
Guest Editors
Manuscript Submission Information
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Keywords
- remote sensing
- environmental changes
- resource assessment
- sensor technology
- high-resolution imaging
- LiDAR
- hyperspectral imaging
- artificial intelligence
- machine learning
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