Event Title
SCIAMACHY Data Validation Using MODIS Band Spectral Response Function
Faculty Mentor
Constantine Lukashin; Anne Case Hanks
Location
Memorial Gym
Start Date
20-4-2012 2:30 PM
End Date
20-4-2012 3:30 PM
Description
Due to the increasing concern of global climate change, it is important that spaceborne sensors are properly calibrated to ensure the most accurate and consistent observations possible. In an effort to test the accuracy of the instruments relevant to climate studies, we developed algorithms to validate calibration of instruments used in climate research – SCIAMACHY/ENVISAT – with the goal of inter-calibration with MODIS/TERRA. To make SCIAMACHY and MODIS measurements comparable, first, the spectral convolution algorithm was used to simulate MODIS narrow-band measurement. Then, we obtained seasonal averages of nadir reflectance measured over clear sky ocean and deep convective clouds scenes using MODIS Relative Spectral Response (RSR) for bands in visible wavelength range.
SCIAMACHY Data Validation Using MODIS Band Spectral Response Function
Memorial Gym
Due to the increasing concern of global climate change, it is important that spaceborne sensors are properly calibrated to ensure the most accurate and consistent observations possible. In an effort to test the accuracy of the instruments relevant to climate studies, we developed algorithms to validate calibration of instruments used in climate research – SCIAMACHY/ENVISAT – with the goal of inter-calibration with MODIS/TERRA. To make SCIAMACHY and MODIS measurements comparable, first, the spectral convolution algorithm was used to simulate MODIS narrow-band measurement. Then, we obtained seasonal averages of nadir reflectance measured over clear sky ocean and deep convective clouds scenes using MODIS Relative Spectral Response (RSR) for bands in visible wavelength range.
Comments
Poster presentation