What effect can atmospheric conditions have on remote sensing data?

Atmospheric conditions can significantly impact remote sensing data, leading to variability in measurements. Factors such as humidity, temperature, atmospheric pressure, and the presence of aerosols or pollution can alter the path of electromagnetic radiation as it travels from the Earth’s surface to the sensor. This can cause scattering, absorption, and reflection of signals, which subsequently affects the quality and accuracy of the data collected. For instance, high humidity can cause more absorption of certain wavelengths leading to a loss of data integrity. Understanding these variabilities is crucial for interpreting remote sensing data accurately and for making necessary corrections to account for atmospheric conditions.