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Performance of Three Reflectance Calibration Methods for Airborne Hyperspectral Spectrometer Data
Department of Natural Resources and Environmental Management, College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa, 1910 East-West Road, Honolulu, Hawaii 96822, USA
Department of Sol, Water and Environmental Science, University of Arizona, 1177 East Fourth Street, Tucson, Arizona 85721, USA
* Author to whom correspondence should be addressed.
Received: 30 December 2008; in revised form: 29 January 2009 / Accepted: 3 February 2009 / Published: 3 February 2009
Abstract: In this study, the performances and accuracies of three methods for converting airborne hyperspectral spectrometer data to reflectance factors were characterized and compared. The “reflectance mode (RM)” method, which calibrates a spectrometer against a white reference panel prior to mounting on an aircraft, resulted in spectral reflectance retrievals that were biased and distorted. The magnitudes of these bias errors and distortions varied significantly, depending on time of day and length of the flight campaign. The “linear-interpolation (LI)” method, which converts airborne spectrometer data by taking a ratio of linearly-interpolated reference values from the preflight and postflight reference panel readings, resulted in precise, but inaccurate reflectance retrievals. These reflectance spectra were not distorted, but were subject to bias errors of varying magnitudes dependent on the flight duration length. The “continuous panel (CP)” method uses a multi-band radiometer to obtain continuous measurements over a reference panel throughout the flight campaign, in order to adjust the magnitudes of the linear-interpolated reference values from the preflight and post-flight reference panel readings. Airborne hyperspectral reflectance retrievals obtained using this method were found to be the most accurate and reliable reflectance calibration method. The performances of the CP method in retrieving accurate reflectance factors were consistent throughout time of day and for various flight durations. Based on the dataset analyzed in this study, the uncertainty of the CP method has been estimated to be 0.0025 ± 0.0005 reflectance units for the wavelength regions not affected by atmospheric absorptions. The RM method can produce reasonable results only for a very short-term flight (e.g., < 15 minutes) conducted around a local solar noon. The flight duration should be kept shorter than 30 minutes for the LI method to produce results with reasonable accuracies. An important advantage of the CP method is that the method can be used for long-duration flight campaigns (e.g., 1-2 hours). Although this study focused on reflectance calibration of airborne spectrometer data, the methods evaluated in this study and the results obtained are directly applicable to ground spectrometer measurements.
Keywords: Reflectance retrieval; hyperspectral reflectance; airborne remote sensing; sensor calibration; radiometry
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MDPI and ACS Style
Miura, T.; Huete, A.R. Performance of Three Reflectance Calibration Methods for Airborne Hyperspectral Spectrometer Data. Sensors 2009, 9, 794-813.
Miura T, Huete AR. Performance of Three Reflectance Calibration Methods for Airborne Hyperspectral Spectrometer Data. Sensors. 2009; 9(2):794-813.
Miura, Tomoaki; Huete, Alfredo R. 2009. "Performance of Three Reflectance Calibration Methods for Airborne Hyperspectral Spectrometer Data." Sensors 9, no. 2: 794-813.