Data gathering, environmental monitoring and simulations are central to Earth Science development, relying on an extensive sensing apparatus that includes remote sensing satellites, radar systems, LiDAR scanners, atmospheric monitoring sensors, optical instruments, and more. Scientific observation goes beyond being a mere direct reflection of objective matters through sensing techniques. It emerges from a complex interplay of various actors and processes—observers, instruments, methodologies, conversions, observed phenomena, and interpretations. For instance, remote sensing collects and records electromagnetic radiation reflected from the Earth's surface. These captured signals are transmitted electronically to ground stations, where they are received and processed. During this phase, raw data is transformed into interpretable formats, ultimately resulting in images that can be interpreted both visually and digitally for analysis and application.
Within the process of transforming signals, raw data, and images, the sensing apparatus transcends its initial role as a mere observational tool. Instead, it becomes an active agent, entangled within a network of relations that simultaneously shapes sensing practices and transforms fields of knowledge production. Matter and environments are no longer passive backdrops but participants that co-produce the outcomes of observation.