Index

Acting



Composing












Fluxing






Inhabiting





Metamorphosing




Navigating







Othering




Processing










Regulating










Resonating













Agency
Environing

Landing


Blackboxing
Cosmology
Cosmotechnics
Cosmogram
Cosmopolitics

Envelope
Figure-Ground
Immanence
Institution
Network
New Climatic Regime

Biosphere
Entropy
Great Acceleration
Protocol

Technosphere
Tipping Point


Critical Zone
Earthbound
Habitat
Oikos
Territory

Animism
Holobiont
Strata
Vital Materialism

Anthropocene
Deep Time
Global
Multiplicity
Planetary
Pluriverse
Terrestrial


Ghost Acreage
Modernity
Substitute
Zomia

Computation
Internet of Things
Layer
Model
Operational
Representational
res extensa
Scale
Simulation
Tabula Rasa


Contingency

Cybernetics
Earth System
Feedback Loop
Gaia
Gaia Device
Heterarchy

Recursivity
Stay-Out Zones
World-systems

Futurity
Horizon

Image
Resolution
Sample
Sensor
Synchronisation


Term Sensor
Contributor Kan LI

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.

This transformation of environmental sensing calls a shift of scientific paradigms from matters of fact to matters of concern by engaging with a multiplicity of entangled relations shaped by diverse actors and processes. This cognitive shift does not seek to undermine the authority of scientific observation and experimental results, nor does it diminish the pursuit of high-precision instruments. Instead, while maintaining the need to continuously refine scientific instruments, approaches, and institutions, it emphasises patterns of difference and marks complex processes of modulation. Ultimately, this shift urges a commitment to understanding which differences matter, how they matter, and for whom they hold significance.