Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Dear Colleagues,

As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS), which deal with the spatial information, have been maturing rapidly. In addition, over the last few decades, machine learning techniques have been successfully applied to science and engineering research fields. Machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards and natural resources.

This Special Issue of Applied Sciences, “Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing”, aims to attract novel contributions covering machine learning techniques applied to GIS and RS.

Topics of interest include, but are not limited to:

• Application of machine learning techniques combined with GIS
• Application of machine learning techniques to remote sensing
• Application of machine learning techniques to Global Positioning System (GPS)
• Spatial analysis and geocomputation based on machine learning techniques
• Spatial Prediction using machine learning techniques
• Data processing of geoinformation using machine learning techniques
• Comparison analysis among several machine learning techniques applied to GIS and RS
• Application of machine learning techniques on geosciences, environments, natural hazards and natural resources as case studies

Prof. Dr. Saro Lee
Prof. Dr. Hyung-Sup Jung
Guest Editors

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