Remote Sensing for Long-Term and Multitemporal Land Use/Land Cover Changes Evaluation

Dear Colleagues,

Historical and recent remote sensing technologies have been producing many types of data acquired by various sensors with different spatial coverage, ranging from the local to the global level. Depending on the applied technology, the obtained data vary significantly in time, spectral and spatial resolutions, and a wide range of methods for their preprocessing and analysis exist. Time series of remote sensing data can be used for various environmental analyses, and during the last decades, huge developments have also been recorded in the field of remote sensing for long-term and multitemporal land-use/land-cover change (LULCC) detection and evaluation. Thus, the aim of this Special Issue is to document the development of research activities in this field, with focus on (but not limited to) the following issues:

• Recently developed general concepts and innovative methodological approaches for long-term and multitemporal LULCC evaluation using remote sensing;
• Advances in the field of remote sensing data sources for long-term and multitemporal/multiseasonal LULC change detection and evaluation; comparison and/or a combination of data sources (data fusion, data harmonization, use of multiple data sources); integration of remote sensing with other types of data;
• Case studies focused on long-term and multitemporal LULC change detection/evaluation using different remote sensing technologies (aerial, spaceborne, UAV, LiDAR, radar) on various scales (local, regional, continental, global), with various spectral resolutions (panchromatic, multispectral, hyperspectral) and time resolutions (long-term, multitemporal/multiseasonal);
• Definition, detection, and reliability of the change in LULCC evaluation/research by means of remote sensing;
• Accuracy of LULC change detection/evaluation based on remote sensing data; potential of dense time series (multitemporal/multiseasonal) of remote sensing data to increase the accuracy of change detection analysis;
• Remote sensing datasets and products for LULC change evaluation: possibilities for their use, quality assessment, and intercomparison, problematic of used nomenclatures;
• Applications of remote sensing in the field of LULC change evaluation for operational use and practice.

Dr. Lucie Kupková
Dr. Markéta Potůčková
Guest Editors

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