Application of Multitemporal Remote Sensing in Land-Cover/Land-Use Change

Dear Colleagues,

Due to the change in the natural environment and the effect of human activities, the Earth's surface changes all the time. Land use and land cover changes are the leading cause of environmental changes worldwide. In order to ensure the sustainable development of the environment and humans, monitoring changes with massive and multi-source remote sensing data has become an important application in the remote sensing field. Earth observation satellites collect hundreds of terabytes of remote sensing data each year. How to effectively process and analyze these data for the purpose of monitoring land changes is the issue that we want to address.

To this end, this Special Issue seeks papers presenting novel ideas, techniques and tools to improve remote sensing change detection. Potential topics for this Special Issue may include, but are not limited to the following:

• Multitemporal remote sensing image analysis;
• Land-cover/ Land-use change analysis;
• Building change identification;
• Scene-level classification and change analysis;
• Multi-source remote sensing data fusion for change detection;
• Urban change monitoring;
• Semantic change analysis;
• Geospatial databases for sustainable smart cities;
• Advanced algorithms for change detection based on machine learning/deep learning;
• Applications of remote sensing image change detection (vegetation change/coastline change/etc.) ;

Dr. Qiqi Zhu
Dr. Nan Wang
Dr. Sicong Liu
Guest Editors

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