TY - JOUR
T1 - Atmospheric Correction of Hyperspectral Airborne GCAS Measurements Over the Louisiana Shelf Using a Cloud Shadow Approach
AU - Zhang, Minwei
AU - Hu, Chuanmin
AU - Kowalewski, Matthew G.
AU - Janz, Scott J.
AU - Lee, Zhongping
AU - Wei, Jianwei
PY - 2017/1/1
Y1 - 2017/1/1
N2 - As an image-driven method to correct for atmospheric effects, the cloud shadow (CS) approach does not require accurate radiometric calibration of the sensor, making it feasible to process remotely sensed data when radiometric calibration may contain non-negligible uncertainties. Using measurements from the Geostationary Coastal and Air Pollution Events Airborne Simulator and from the Moderate Resolution Imaging Spectroradiometer over the Louisiana Shelf, we evaluate the CS approach to airplane measurements in turbid-water environments. The original CS approach somehow produced remote-sensing reflectance ( R rs , sr −1 ) with an abnormal spectral shape, likely a result of the assumption of identical path radiance for the pair of pixels in and out of the shadow, which is not exactly valid for measurements made from a low-altitude airplane. To overcome this limitation, an empirical scheme using an effective wavelength-dependent radiance reflectance for the cloud ( γ , sr −1 ) was developed and reasonable GCAS R rs retrievals are then generated, which were further validated against in situ R rs . Issues and challenges in applying CS to measurements of low-altitude airplanes are discussed.
AB - As an image-driven method to correct for atmospheric effects, the cloud shadow (CS) approach does not require accurate radiometric calibration of the sensor, making it feasible to process remotely sensed data when radiometric calibration may contain non-negligible uncertainties. Using measurements from the Geostationary Coastal and Air Pollution Events Airborne Simulator and from the Moderate Resolution Imaging Spectroradiometer over the Louisiana Shelf, we evaluate the CS approach to airplane measurements in turbid-water environments. The original CS approach somehow produced remote-sensing reflectance ( R rs , sr −1 ) with an abnormal spectral shape, likely a result of the assumption of identical path radiance for the pair of pixels in and out of the shadow, which is not exactly valid for measurements made from a low-altitude airplane. To overcome this limitation, an empirical scheme using an effective wavelength-dependent radiance reflectance for the cloud ( γ , sr −1 ) was developed and reasonable GCAS R rs retrievals are then generated, which were further validated against in situ R rs . Issues and challenges in applying CS to measurements of low-altitude airplanes are discussed.
UR - https://digitalcommons.usf.edu/msc_facpub/1963
UR - https://doi.org/10.1080/01431161.2017.1280633
U2 - 10.1080/01431161.2017.1280633
DO - 10.1080/01431161.2017.1280633
M3 - Article
VL - 38
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
ER -