Ground Truth, or How to Resurrect a Tree is a story about ‘seeing something when there is nothing there.’ Equipped with the power of computation, photography and hyperspectral imaging, a group of scientists in Finland set out to overcome the spatial resolution limit of satellite imagery.

Following the quest of remote sensing researchers to develop a better interpretation model of satellite data, this project explores cutting-edge imaging techniques of forests while looking back at photography’s love affair with natural landscapes.  Using meticulous on-site measurements of physical structures and spectral properties of trees, researchers develop reliable predictive models. Ground truth data is often compared to experimental results to verify the performance of a model. A successful model allows us to distinguish various features of the Earth beyond what is shown optically in a satellite image. A computer-aided vision grants us the ability to exceed the resolution limit of the extraterrestrial apparatus, to resurrect a tree from the data collected by satellites. Powered by advanced imaging technologies and algorithms, seeing is more abstract than ever. 


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