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This book provides a groundbreaking exploration of satellite remote sensing's role in tracking the mobility and spread of COVID-19, focusing on its origin in Wuhan City.

Comprises a broad overview of quantum theory for understanding automatic detection of air turbulence with remote sensing data. Quantum theory explains the electromagnetic wave ranges of varieties of remote sensing satellite data from short wavelength to long wavelength.

Synthetic Aperture Radar Image Processing Algorithms for Nonlinear Oceanic Turbulence and Front Modelling is both a research and practice-based reference that bridges the gap between the remote sensing field and the dynamic oceanography exploration field. In this perspective, the book explicates how to apply techniques in synthetic aperture radar and quantum interferometry synthetic aperture radar (QInSAR) for oceanic turbulence and front simulation and modeling. It includes detailed algorithms to enable readers to better understand and implement practices covered in their own work and apply QInSAR to their own research. This multidisciplinary reference is useful for researchers and academics in dynamic oceanography and modeling, remote sensing and aquatic science, as well as geographers, geophysicists, and environmental engineers.

This book equips readers to understand how to monitor tsunamis from space with remote sensing technology art to create a better alarm warning system. The innovation in space technologies has generated a new trend for observing and monitoring tsunamis from space. Most tsunami remote sensing studies focus on using classical image processing

This book equips readers to understand how to monitor tsunamis from space with remote sensing technology art to create a better alarm warning system. The innovation in space technologies has generated a new trend for observing and monitoring tsunamis from space. Most tsunami remote sensing studies focus on using classical image processing tools.