International Journal of Remote Sensing · 1999 · 660 citations · 0 references
Natural SciencesEarth SciencesGeoinformaticsRemote SensingSurveyingTerrain AnalysisRadiometric CalibrationReflectance ModelingRemote Sensing Image AnalysisRemote Sensing ImageryEmpirical Line CalibrationReflectance CalibrationRemote Sensing CalibrationRemote Sensing ReflectanceSurface ReflectanceSurface Reflectance EstimationSurface Reflectance MeasurementSurface Reflectance Modeling
Remotely sensed data must be calibrated to physical units of reflectance, and the empirical line method offers a logistically simple way to estimate surface reflectance. The study reviews and case‑studies the empirical line method to highlight its ease of application and potential pitfalls when not properly planned and implemented. The method relies on several theoretical assumptions and practical considerations that must be addressed prior to application. The empirical line method can calibrate remotely sensed data to reflectance with only a few percent error.
To have lasting quantitative value, remotely sensed data must be calibrated to physical units of reflectance. The empirical line method offers a logistically simple means of generating acceptable estimates of surface reflectance. A review and case-study identify the ease with which this method can be applied, but also some of the pitfalls that can be encountered if it is not planned and implemented properly. A number of theoretical assumptions and practical considerations should be taken into account before applying this approach. It is suggested that the empirical line method allows the calibration of remotely sensed data to reflectance with errors of only a few percent.