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This project attempts to bring about an object-oriented position toward pixels of all kinds consistent with more than a decade of development of object-oriented philosophy and the more recent and varied object-oriented ontology (OOO). For decades, spectral pixels have retained an ostensibly privileged status in remote sensing science. More specifically, scientific materialism and two of object-oriented philosopher Graham Harman's seven “radical” approaches to objects have characterized digital remote sensing science since its advent. That is, by denying both the distinction between an object and its qualities and the difference between an object and its accidents, the spectral pixel is regarded as directly representative of remotely sensed objects. Spectral data is therefore reduced to the 'actual' or 'existing'. The non-spectral, on the other hand, is often relegated to the modeling domain of the ‘potential’ where uncertainty is thought to prevail. Furthermore, non-spectral data layers are still habitually referred to as 'ancillary' and often receive short shrift in the literature. This project is a mereological approach to topographically complex landscapes. By first classifying DEM derived land-surface parameters as ecologically relevant objects, those objects then become the component parts and ultimately, the qualities of unified chorological objects segmented with eCognition™. Not only are these objects irreducible to their component parts, they are capable of being directly experienced and empirically investigated. This project thereby introduces a realist ontology and inter-objectivity to remote sensing science that should enable any GIS to better confront the complex multi-scale problems of the next few decades of unprecedented change.