Ocean subsurface particulate backscatter estimation from CALIPSO spaceborne lidar measurements

Peng Chen; Delu Pan; Tianyu Wang; Zhihua Mao

doi:10.1117/12.2277103

13 October 2017 Ocean subsurface particulate backscatter estimation from CALIPSO spaceborne lidar measurements

Peng Chen, Delu Pan, Tianyu Wang, Zhihua Mao

Proceedings Volume 10422, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017; 104220X (2017) https://doi.org/10.1117/12.2277103
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

Abstract

A method for ocean subsurface particulate backscatter estimation from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) on the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite was demonstrated. The effects of the CALIOP receiver’s transient response on the attenuated backscatter profile were first removed. The two-way transmittance of the overlying atmosphere was then estimated as the ratio of the measured ocean surface attenuated backscatter to the theoretical value computed from wind driven wave slope variance. Finally, particulate backscatter was estimated from the depolarization ratio as the ratio of the column-integrated cross-polarized and co-polarized channels. Statistical results show that the derived particulate backscatter by the method based on CALIOP data agree reasonably well with chlorophyll-a concentration using MODIS data. It indicates a potential use of space-borne lidar to estimate global primary productivity and particulate carbon stock.

Citation Download Citation

Peng Chen, Delu Pan, Tianyu Wang, and Zhihua Mao "Ocean subsurface particulate backscatter estimation from CALIPSO spaceborne lidar measurements", Proc. SPIE 10422, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017, 104220X (13 October 2017); https://doi.org/10.1117/12.2277103

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