non architecture | remote-sensing | astrometry | data simulation | 2018
The project fuses two distinct scalar and vector datasets, one acquired by a terrestrial LiDAR in the Arctic — while the other through Astrometry (measuring the positions and distances of stars). In a collaboration between European Space Agency [ESA] and NASA, the Mauna Kea Observatory especially the Keck Telescope is trying to catalogue and chart a three-dimensional digital archive of the Milky-Way galaxy, using the Gaia Satellite. Using methods such as 'Astrometry'; measuring the positions and distances of stars -- and 'Photometry' -- the computation of light, in terms of its observed brightness to the observing apparatus. In this project, only particular values in the data-set such as Luminosity, Spectral Radiance, Directional Emissivity, and Noise Flux were translated using OpenVDB and Voxels -- which can host and sample pre-defined data inputs into RGB, Density, Anistropy, Radiance and Spectrality.
In the resulting visualisation, every point is either a star, a planet, a quasar or a trace of LiDAR’s assaulting photon across an earthly surface, a dust particle, fog, mist or ice. All localised into a single entity: a sphere that finds an asymptote between its limit of interiority and the universal absolute. When the stellar and the particulate are all rendered in a single explosion, then different yet inter-connected regional eruptions, disrupts the semblance of non-unified celestial objects. Where the cerebral, the territorial, the terrestrial and the cosmic are already nested within a single continuum —that is precisely the continuum of all worlds: the brain, the streets, the urban, the earthly, the stellar, the galactic and the cosmic. Conceptually the project is a search to foray thought, that modally liberates the traumatic territorial organisation while churning immanence with the infinite void. The result provides a new surface for thought to tread the grounds of semblance. Semblance is not what we see, but what we think we have seen.