IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2021 · 10 citations · 17 references
Natural SciencesEarth SciencesForestryRemote SensingSpectroscopic AnalysisSpectroscopyInfrared Remote SensingRadiometric CalibrationSatellite Image InterpretationSatellite SensorsSpectral CalibrationThermal Remote SensingCalibration CoefficientsCross-calibrationForest Fire DetectionForest Fire MonitoringInfrared Remote Sensing RadiometrySpatial MatchingSpectral CharacteristicsSpectral Matching
GaoFen-4 (GF-4) infrared spectrum (IRS) camera has a special spectral band located in the mid-wave infrared spectrum with the wavelength ranging from 3.50 to 4.10 μm. It is very important for forest fire-detection and other quantitative remote sensing applications at a high spatial resolution of 400 m. Due to the similarity of the spectral characteristics, the thermal emissive band 20 (3.660-3.840 μm) and 22 (3.929-3.989 μm) of medium resolution imaging spectrometer (MODIS) are taken as the reference bands for the radiometric cross-calibration of the GF-4/IRS camera. The time difference between selected GF-4/IRS and MODIS images at the Qinghai Lake and Se lincuo Lake test sites is less than one hour. After spatial matching, single-band and dual-band spectral matching methods are proposed in this article. Then, the DN value of GF-4 image is linearly fitted to the radiance of the corresponding MODIS image to obtain the radiometric calibration coefficients of GF-4/IRS camera. The validation results show that the cross-calibration coefficients calculated by integrating the measurement of two MODIS bands with the mean value spectral matching approach has the highest radiometric calibration consistency with the official calibration coefficients.
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