From Event: SPIE Optical Engineering + Applications, 2016
There is a growing interest in high spatial resolution imagery for the retrieval of biogeochemical components over water to study the processes involved in inland and coastal waters as well as in the open ocean. High spatial resolution satellite presents a kind of different problems to the ones for coarse spatial resolution satellites (i.e. MODIS) for deriving ocean color products (i.e. chlorophyll-a or colored dissolved organic matter at a specific wavelength). The SeaDAS package has recently added the capability to handle Landsat 8 data and to produce ocean color standard products, but validation of the atmospheric correction with in situ data is needed.
In this work, different schemes for atmospheric correction within SeaDAS are applied. These schemes include the use of the NIR-SWIR 2, SWIR 1-SWIR 2 combinations, with and without spatial averaging to account for the low signal-to-noise ratio (SNR) in the SWIR bands. The products from the atmospheric correction in SeaDAS, i.e. remote-sensing reflectance (Rrs) at four different wavelengths, are compared with in situ data. This is the first attempt to compare in situ Rrs with the output from SeaDAS/l2gen.
Javier A. Concha, "Landsat 8's atmospheric correction in SeaDAS: comparison with AERONET-OC
(Conference Presentation)," Proc. SPIE 9972, Earth Observing Systems XXI, 997212 (Presented at SPIE Optical Engineering + Applications: August 31, 2016; Published: 18 November 2016); https://doi.org/10.1117/12.2239241.5178519747001.
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Study of self-shadowing effect as a simple means to realize nanostructured thin films and layers with special attentions to birefringent obliquely deposited thin films and photo-luminescent porous silicon