From data collection to actionable maps

Remote sensing and geographic information systems (GIS) work together to capture, organize, and analyze spatial data from Earth's surface, enabling a broad range of real-world applications such as urban planning and environmental monitoring. Remote sensing employs satellites, drones, and radar to collect data, which is then processed using algorithms to create meaningful categories like vegetation or water bodies. GIS further transforms this data into layers that support various sectors by providing structure and context for spatial analysis. Different sensing techniques, including multispectral and hyperspectral imaging, LiDAR, and synthetic aperture radar, offer distinct advantages depending on the level of detail required and the specific geospatial challenge. Platforms like Felt simplify the integration of remote sensing data into GIS workflows by enabling users to visualize and analyze spatial information effortlessly, improving collaboration and decision-making across industries.