What is a binary raster characteristic?

A binary raster characteristic refers to a raster that is classified into two distinct classes, often representing two states or conditions. For example, this might involve a simple land cover classification where one class represents "vegetated" areas and the other represents "non-vegetated" areas. This binary approach simplifies analysis and processing, making it straightforward to perform operations such as masking or extraction based on the presence or absence of a feature.

While the other options describe different types of raster data, they do not fit the definition of a binary raster. Multiple classifications indicate a raster with more than two categories, continuous data suggests a range of values rather than distinct classes, and color-coded rasters may describe how data is visually represented but do not imply a binary classification. Thus, the essence of defining a binary raster lies in its exclusive classification into just two classes.