Which factor is NOT typically considered in the resolution of remote sensing imagery?

In the context of remote sensing imagery, resolution is primarily concerned with how information is captured and represented across different dimensions. Spatial resolution refers to the size of the smallest object that can be resolved in an image, essentially reflecting the detail captured in terms of area on the ground. Spectral resolution involves the ability to detect and store information across varying wavelengths of light, allowing for detailed analysis of material properties. Temporal resolution defines how frequently a particular area is imaged, which is crucial for monitoring changes over time.

The term "color dimensions" is not commonly used within the technical framework of remote sensing resolution. While color can be an important aspect of the data visualized in an image, specifically concerning the spectral bands used, it does not represent an independent factor of resolution in the same way that spatial, spectral, and temporal dimensions do. Consequently, it is not typically classified as a dimension of resolution in remote sensing imagery.