Which aspect of remote sensing is most affected by cloud cover?

Cloud cover significantly impacts data accuracy in remote sensing by obstructing the view of the Earth's surface from overhead sensors. When clouds are present, they can block the electromagnetic signals that remote sensing instruments rely on to capture images and data, making it challenging to obtain clear and accurate measurements. As a result, the presence of clouds may lead to incomplete data or erroneous interpretations that can compromise the reliability of the analysis.

Physical measurements, while affected by atmospheric conditions, are primarily concerned with the direct observables rather than the interpretation of collected data. Data collection methods and storage techniques may change due to cloud cover indirectly, but it is the actual accuracy of analysis that is directly compromised since the cloud cover alters what information is captured in the first place. Thus, the impact of cloud cover is most pronounced in the accuracy of the resultant data analysis.