The three images above represent the same area. The magenta objects in the image on the left depict brush. The images in the middle and on the right are the result of analysis of the left image.
The image in the middle is made of 10 meter by 10 meter pixels. Each of these pixels has a value associated with it. That value represents the percent of brush canopy within that pixel. The pixels are colored based on that value. Pixel values of less than 10% are the bright yellow and pixel values of over 40% are the bright red pixels.
The analysis continues in the image on the right. Here only the pixels whose value is greater than or equal to 30% and where the area covered is greater than 200 square meters are shown in a transparent red. Because images such as this define areas that match a particular attribute, they are extremely useful for decision making by land managers.
The above is only an example of what can be done by combining remote sensing and geospatial analysis. These combinations are only limited by imagination.