Pattern Orientation in PIP/NEV Imaging: A Comparative Analysis of Pyramid Complexes and Natural Landscapes

Abstract

Patterns appear before interpretation. That is where this work begins. A comparative observational analysis of pattern orientation in Polycontrast Interference Photography (PIP) and New Energy Vision (NEV) imaging is conducted using a dataset comprising more than 840 recordings collected across 15 countries. A series of PIP and NEV recordings, collected across different environments and continents, reveals a consistent contrast in pattern orientation. In open landscapes and urban settings, color-gradient structures tend to extend horizontally. This baseline behavior is visible in rural Serbia, along the Aswan roadway, and in the Sedona formation, despite its partial geometric resemblance to a stepped pyramid. Across the broader dataset, horizontally oriented patterns represent the dominant baseline condition in natural landscapes, urban environments, and archaeological sites, including megalithic complexes and temples. The situation changes over pyramidal structures. Recordings above the Bosnian Pyramids of the Sun and the Moon show vertically organized patterns, stable across different years and recording conditions. A comparable structure is observed at the Pyramid of Khafre in Egypt, suggesting that the phenomenon is not limited to a single location. This vertical pattern orientation is reproducibly observed across multiple pyramid sites in Bosnia and Egypt (including Giza, Dahshur, Abusir, and Hawara), and remains consistent across acquisition distances ranging from approximately 100 m to several kilometers. Between pyramidal features, the pattern shifts again. Oblique structures appear in transition zones, while panoramic imaging reveals clear spatial contrast: vertical organization above the pyramids, horizontal banding above the nearby urban environment. Across the full dataset, a smaller subset of observations exhibits oblique or mixed orientations, typically associated with transitional spatial zones or localized environmental conditions. The cross-site stability of these observations, across sites and instruments, points to a reproducible difference in pattern orientation linked to specific landscape forms. Whether these patterns reflect optical interference effects, environmental conditions, or other physical processes remains open. What is clear is that pyramidal structures exhibit a distinct, repeatable configuration not observed in the surrounding terrain. The analysis is based on visual classification of pattern orientation using standard PIP/NEV system outputs. No computational image analysis was applied, and the findings are therefore presented as descriptive and hypothesis-generating. The consistency of observed patterns across geographically diverse environments suggests a structured relationship between landscape type and pattern orientation, providing a basis for future quantitative investigation.