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Map resolution. Map resolution is defined as: the size of the smallest feature that can be represented in a surface. The accuracy at which the location and shape of map features can be depicted for a given map scale.
It is the size of the smallest feature that can be represented in a surface. For example, small areas may have to be represented as points. THIS DEFINITION IS FOR PERSONAL USE ONLY. All other reproduction requires permission.
In computers, resolution is the number of pixels (individual points of color) contained on a display monitor, expressed in terms of the number of pixels on the horizontal axis and the number on the vertical axis. The sharpness of the image on a display depends on the resolution and the size of the monitor.
The resolution of an image refers to the potential detail provided by the imagery. In remote sensing we refer to three types of resolution: spatial, spectral and temporal. For example, a spatial resolution of 250 m means that one pixel represents an area 250 by 250 meters on the ground.
So these are 2 different terms which are there, one has to remember so 4 resolutions spatial resolution, spectral resolution, temporal resolution and radiometric resolution, these 4 type of resolution are known in remote sensing we will see one by one details about this.
Data resolution is the smallest difference between adjacent positions that can be recorded. Since a paper map is always the same size, its data resolution is tied to its scale. Resolution also limits the minimum size of feature that can be stored.
It is usually presented as a single value that represents the length of one side of a square. For example, a spatial resolution of 30 meters means that one pixel represents an area 30 meters by 30 meters on the ground. The resolution of an image is an indication of the potential detail in an image.
Scale is the scale represents the relationship of the distance on the map/data to the actual distance on the ground. Source scale is the scale of the data source (i.e. aerial photo or satellite image) from which data is digitized (into boundaries, roads, land cover, etc. in a GIS).
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