Remote sensing algorithms are computational methods used to process and analyze data collected from satellite or airborne sensors to extract meaningful information about the Earth's surface and atmosphere. These algorithms are essential for applications such as environmental monitoring, agriculture, urban planning, and disaster management, enabling the interpretation of complex datasets to support decision-making and scientific research.