Remote Sensing Interpretation Systematic Engineering for Natural Resources Monitoring and Management (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing and Geo-Spatial Science".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 44
Special Issue Editors
Interests: geoinformatics; remote sensing; resources and environment monitoring; geological hazard monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: geomatics, remote sensing; Geo-AI; disaster risk management; sustainability and resilience
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; land use land cover change mapping; urban land use changes, vegetation processes and atmospheric aerosols
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing technology is indispensable for high-level land use, land management, and sustainable infrastructure design. In recent years, multi-source and multi-temporal remote sensing big data, from optical to microwave, from low to very high spatial resolution, and from multispectral to hyperspectral, and LiDAR data are available and can be applied for broader land management. Meanwhile, with the development of artificial intelligence, big data, and cloud computing techniques, efficient and intelligent remote sensing image interpretation in high-level land use, land management, and sustainable infrastructure design has been systematically engineered, and these issues are currently faced with various challenges in terms of data, information, knowledge, modeling, and computing power. Such challenges can be tackled with innovations in image interpretation, information/feature extraction, modeling techniques, and applications to problems concerning our environment.
Under such circumstances, this Special Issue aims at providing knowledge, methodologies, and approaches for scientific research and decision support systems relating to intelligent remote sensing image interpretation in land use, land management, and sustainable infrastructure design.
We invite contributions from colleagues who wish to innovate the discipline of remote sensing for land use, land management, and sustainable infrastructure design.
Prof. Dr. Dongping Ming
Dr. Jagannath Aryal
Prof. Dr. Kasturi Devi Kanniah
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
- multi-source data fusion
- sample database construction
- object based image analysis
- GeoAI
- region/parcel partition on different scales
- land cover/use classification
- land cover/use change monitoring/projection/modelling
- thematic information extraction
- advanced image processing techniques (machine learning and deep learning)
- authenticity verification
- cloud based intelligent remote sensing application
- GIS for land use/cover management
- Impact of land use/cover on environment
