Which of the following best defines temporal resolution in a raster?

Temporal resolution in the context of raster data refers to the frequency at which images of the same geographic area are captured over time. This is critical in applications that require monitoring changes, such as environmental studies, agriculture, and urban planning. High temporal resolution allows for timely observations and updates, which can be essential for tracking dynamic changes in landscapes or ecosystems.

For instance, if a satellite collects images of the same area every day, it has a high temporal resolution, allowing researchers to analyze daily changes. In contrast, a satellite that collects images once a month has a lower temporal resolution. Thus, option B accurately captures the essence of temporal resolution, emphasizing the repetitive nature of data acquisition over time in raster imagery.

The other options refer to different characteristics of raster data. Clarity of an image relates to spatial resolution, which concerns how detailed an image is, while the size of the raster cells pertains to spatial resolution again, indicating how much area each cell represents. Color depth refers to the number of bits used to represent the color of a raster cell, affecting the potential range of colors and shades that can be represented, but this does not relate to the temporal aspect of the dataset.