Special section on Radars and Remote Sensing : vTools Events

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Special section on Radars and Remote Sensing

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Remote sensing is crucial in understanding and managing our planet's resources and environment. Remote sensing technologies enable us to monitor natural disasters, manage agricultural practices, track climate change, and support urban planning. The insights gained from remote sensing are essential for making informed decisions that impact local and global scales. This special section is dedicated to highlighting the latest research and technological advancements in the field of remote sensing. We aim to bring together a diverse group of researchers, practitioners, and enthusiasts to share their insights and findings. We invite submissions on radar Signal Processing, focusing on innovative techniques and methodologies that enhance the interpretation and application of radar data. This includes advancements in signal processing algorithms, radar designs, noise reduction, and data fusion techniques. In addition, contributions to object detection in Earth observation data that exploit radar and optical data to detect and analyse objects are welcome. Papers that present new algorithms, machine learning approaches, and case studies in object detection are highly encouraged. Another key area of interest is objects’ physical Parameter Extraction. We welcome studies focusing on extracting physical parameters such as soil moisture, temperature, and dielectric constants using radar, optical, and hyperspectral data. We also encourage submissions on other topics within the realm of remote sensing. This is an excellent opportunity to share your research, gain insights from peers, and contribute to the collective knowledge in this rapidly evolving field. We look forward to your participation and the stimulating discussions arising from your contributions. Your work will be crucial in advancing the science and application of remote sensing technologies.

Special section is technically sponsored by IEEE Slovenian Chapter GRSS and Northern Macedonia IEEE section and organized by Dušan Gleich, University of Maribor and Venceslav Kafedziski.