Data Forest explores the deep temporal rhythms embedded in ancient trees. Using 3D scanning and photogrammetry, the project documents bark structures, growth patterns and micro-landscapes that reveal the ecological transformations caused by human activity through modern forestry.
Data Forest explores the deep temporal rhythms embedded in ancient trees. Using 3D scanning and photogrammetry, the project documents bark structures, growth patterns and micro-landscapes that reveal the ecological transformations caused by human activity through modern forestry.
The resulting film weaves between scientific observation and poetic abstraction, creating a meditative portrait of living matter as an archive of time. Data Forest demonstrates how digital sensing tools can open new forms of environmental storytelling grounded in texture, duration and presence.
