Band-filtering applied to Rrs
Band-filtering applied to Rrs
Hello,
I know this was discussed and answered a long time ago, but with the current Rrs NASA OBPG data, is all Rrs NASA data from all sensors processed to the equivalency of a 11-nm tophat band-average filter, centered on each nominal sensors wavelength? I.e. if I wanted to compare to modeled or measured hyperspectral Rrs, I would ideally want to do band-pass integration with such 11-nm wide tophat filter first, before comparison with NASA satellite Rrs data?
If this is not applied to all sensors, which ones is it applied to and which ones - not?
Thanks a lot for your time!
Tiho
I know this was discussed and answered a long time ago, but with the current Rrs NASA OBPG data, is all Rrs NASA data from all sensors processed to the equivalency of a 11-nm tophat band-average filter, centered on each nominal sensors wavelength? I.e. if I wanted to compare to modeled or measured hyperspectral Rrs, I would ideally want to do band-pass integration with such 11-nm wide tophat filter first, before comparison with NASA satellite Rrs data?
If this is not applied to all sensors, which ones is it applied to and which ones - not?
Thanks a lot for your time!
Tiho
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Band-filtering applied to Rrs
Tiho,
If you want to compare satellite Rrs to hyperspectral Rrs, you should convolve the hyperspectral data using the Relative Spectral Response (RSR) functions for the given satellite. Also worth mentioning that the convolution should be conducted on the principal (ir)radiances prior to calculation of the Rrs. (Burggraaff, 2020; https://doi.org/10.1364/OE.391470). Spectral response functions can be found here: https://oceancolor.gsfc.nasa.gov/docs/rsr/rsr_tables/
Dirk
If you want to compare satellite Rrs to hyperspectral Rrs, you should convolve the hyperspectral data using the Relative Spectral Response (RSR) functions for the given satellite. Also worth mentioning that the convolution should be conducted on the principal (ir)radiances prior to calculation of the Rrs. (Burggraaff, 2020; https://doi.org/10.1364/OE.391470). Spectral response functions can be found here: https://oceancolor.gsfc.nasa.gov/docs/rsr/rsr_tables/
Dirk
Band-filtering applied to Rrs
Hi Dirk,
Thanks for the fast reply, and pointing me to that reference. I also thought about convolving with each sensor's SRF, but I remember a prior discussion here stating that Rrs has been corrected to a uniform 11nm top hat bandpass, except MERIS:
https://oceancolor.gsfc.nasa.gov/forum/oceancolor/topic_show.pl?pid=22152
Is this still the case? And for which sensors is it done now?
I was also thinking that using the individual sensor convolution would be hard on a merged data set like OC CCI.
Take care,
Tiho
Thanks for the fast reply, and pointing me to that reference. I also thought about convolving with each sensor's SRF, but I remember a prior discussion here stating that Rrs has been corrected to a uniform 11nm top hat bandpass, except MERIS:
https://oceancolor.gsfc.nasa.gov/forum/oceancolor/topic_show.pl?pid=22152
Is this still the case? And for which sensors is it done now?
I was also thinking that using the individual sensor convolution would be hard on a merged data set like OC CCI.
Take care,
Tiho
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Band-filtering applied to Rrs
Tiho,
The information in that older post is still accurate. The Rrs output by l2gen has been adjusted to an 11nm wide square bandpass for *most* sensors. Some are spectrometers, like MERIS, with narrow spectral response functions. For these we do not adjust the data. The full list of sensors with unadulterated Rrs (i.e. outband_opt=0):
MOS, MERIS, OLCI, OCM2, HICO, and OSMI (we only distribute the MERIS and HICO data (soon OLCI L2s, but not there yet); the others are capable of being processed with l2gen)
If you have hyperspectral in situ data, you could convolve those to the spectral response function of the satellite sensor(s) as DIrk suggests. You would then want to process the data through l2gen with outband_opt=0 to turn off the "out of band" correction.
Sean
The information in that older post is still accurate. The Rrs output by l2gen has been adjusted to an 11nm wide square bandpass for *most* sensors. Some are spectrometers, like MERIS, with narrow spectral response functions. For these we do not adjust the data. The full list of sensors with unadulterated Rrs (i.e. outband_opt=0):
MOS, MERIS, OLCI, OCM2, HICO, and OSMI (we only distribute the MERIS and HICO data (soon OLCI L2s, but not there yet); the others are capable of being processed with l2gen)
If you have hyperspectral in situ data, you could convolve those to the spectral response function of the satellite sensor(s) as DIrk suggests. You would then want to process the data through l2gen with outband_opt=0 to turn off the "out of band" correction.
Sean