Abstract: Satellite remote sensing has emerged as a powerful tool for urban applications and analytics, revolutionizing the way we understand and manage urban environments. This work explores the significance and utility of satellite remote-sensing observations in urban contexts. Satellite remote sensing offers a unique vantage point, enabling comprehensive and continuous monitoring of urban areas at various spatial and temporal scales. Through sensors onboard satellites, a wide array of data can be collected, including optical, thermal, and radar imagery, as well as multispectral and hyperspectral data. These datasets facilitate the extraction of valuable information regarding land cover, land use, urban morphology, infrastructure, environmental factors, and socio-economic indicators. In urban applications, satellite remote sensing supports diverse objectives, such as urban planning, land use management, environmental monitoring, disaster management, and infrastructure development. It provides valuable insights into urban expansion, population dynamics, air quality, vegetation cover, water resources, and the impact of human activities on the environment. Satellite data combined with advanced analytics techniques, such as machine learning, image processing, and spatial modelling, enables the extraction of actionable intelligence and the generation of valuable insights for decision-making processes in urban management. Satellite remote sensing observations play a crucial role in enhancing our understanding of urban environments, facilitating informed decision-making, and promoting sustainable urban development.

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