This paper extends Coherence-Constrained Computation Theory (CCCT) by introducing Non-Invasive Field Observation (NFO), a formal framework for extracting structural information from coherent lattice fields without triggering collapse or identity resolution. The work defines observation windows, NFO operators, and observation budgets, yielding a four-axis resource landscape consisting of time, space, coherence, and observation. The paper examines whether structured systems can be monitored through scale-dependent observational summaries while preserving the underlying field configuration and its admissible dynamics. Within this framework, observation is treated as distinct from destructive measurement, allowing informational access without direct state disruption. By modeling observation through fractal window structures on the Allen Orbital Lattice (AOL), the framework proposes a new language for transparent inspection, supervisory control, and coherence-preserving diagnostics in structured computational environments. Potential applications include advanced sensing systems, low-disturbance monitoring architectures, adaptive control systems, and new forms of data interaction in which information is inferred from background structural patterns rather than extracted through conventional invasive measurement.