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In remote sensing we refer to three types of resolution: spatial, spectral and temporal. Spatial Resolution refers to the size of the smallest feature that can be
 
 22 Apr 2014 In addition to spatial, spectral, and radiometric resolution, the concept of temporal resolution is also important to consider in a remote sensing system. Thus, the actual temporal resolution of a sensor depends on a variety of factors, including the satellite/sensor capabilities, the swath overlap, and latitude.
 Resolutions of Remote Sensing. 1. Spatial (what area and how detailed). 2. Spectral (what colors – bands). 3. Temporal (time of day/season/year). 4.
 Four types of resolutions are defined for the remote sensing systems. • Spatial resolution. • Spectral resolution. • Temporal resolution. • Radiometric resolution.
 Definition. Temporal resolution is defined as the amount of time needed to revisit and acquire data for the exact same location. When applied to remote sensing, this amount of time depends on the orbital characteristics of the sensor platform as well as sensor characteristics.
 Temporal resolution (TR) refers to the precision of a measurement with respect to time. Jump up ^ "Honeywell Sensing and Internet of Things". Jump up
 Temporal resolution depends on several factors--how long it takes for a satellite The Canada Centre for Remote Sensing has another short note on temporal
 Characterization of different remote sensing (RS) satellite imaging systems results from the systems diverse spatial, temporal and spectral resolutions.
 The temporal resolution of a satellite like Landsat is 16 days, while for a NOAA satellite it is four hours. So the NOAA satellite has a higher temporal resolution
     
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