Application of Artificial Intelligence in Land Use and Land Cover Mapping II

Dear Colleagues,

Nexus of data analytics and computer vision with remote sensing data has revolutionised the information extraction of earth’s features. The rapid evolution of Artificial Intelligence and Earth Observation technologies is providing enhanced insights into landscape change and sustainable development. Land-use change data from satellite remote sensing, along with climate modelling and socio-economic indicators are playing vital roles in advancing interdisciplinary research. The huge amount of data currently produced by modern Earth Observation satellite missions and Unmanned Aerial Vehicles (UAVs), the availability of high-performance computing platforms and the development of Artificial Intelligence provide new opportunities to advance our knowledge about patterns of resource distribution and resource use. Machine learning approaches tailored for Earth Observation data can effectively support the challenges of spatial and temporal domain adaptation, hyperspectral data mining, integration of multi-source information and large-volume data analysis.

The previous special issue “Application of Artificial Intelligence in Land Use and Land Cover Mapping” was a great success. This indicates that the development of new approaches for information extraction from remote sensing data using Artificial Intelligence is incessant. Therefore, this second volume is launched aiming at collecting articles capitalizing on the integration of emerging remote sensing technologies and recent advances in computer vision and machine learning.

We welcome submissions that provide the community with the most recent advancements in all aspects mentioned above. We welcome, Original Research Articles, Reviews, Letters, and Technical Notes, as well as Highlight articles for a broader audience.

Dr. Sawaid Abbas
Prof. Dr. Jianchu Xu
Dr. Faisal M. Qamer
Prof. Dr. Janet E. Nichol
Guest Editors

Manuscript Submission Information

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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.