True or False. Radiometric correction involves adjusting the brightness and color values of data.

Radiometric correction is indeed a process that focuses on adjusting brightness and color values in data, which makes the answer true. This correction aims to remove systematic and random errors associated with the data collected by sensors.

When a sensor captures an image, it can be influenced by various factors such as atmospheric conditions, sensor calibration, and the surface reflectance of the object being imaged. Radiometric correction helps normalize these influences to ensure that the data accurately represents the true reflectance characteristics of the objects in the scene. This is essential for reliable analysis and interpretation of the data across different times, sensors, or environmental conditions.

While the relationship to thermal images, data collection timing, and other specific contexts can be important considerations in the broader topic of remote sensing, radiometric correction as a concept applies generally to all types of images gathered from sensors, not limited to only thermal imagery or specific phases of data collection. Thus, the statement in question is validated by the comprehensive nature of the radiometric correction process.