One of the most important things to understand about remote sensing data is the resolution of datasets. When deciding on a dataset to use and first approaching a problem, remote sensing scientists need to consider four different types of resolution. These are:
- Spatial resolution: the size of each pixel in the imagery.
- Temporal resolution: how often imagery is taken of the area of interest.
- Spectral Resolution: how many colors, or “bands” of light a sensor measures.
- Radiometric Resolution: how sensitive a sensor is to changes in brightness.