Explain spatial and spectral resolution in satellite remote sensing.

Here are two remotely sensed satellite data resolutions to consider:

1. Spatial Resolution: This refers to the size of the smallest feature on the ground that can be distinguished in an image. A higher spatial resolution (smaller pixel size) provides more detail, allowing for the identification of smaller objects or features, which is crucial for detailed mapping or urban studies.
2. Spectral Resolution: This describes the number and width of the specific wavelength intervals (spectral bands) a sensor can measure. A higher spectral resolution (more and narrower bands) allows for better differentiation between various features on the Earth's surface, which is important for detailed land cover classification or vegetation analysis.