| dc.creator | Hwan Ahn,Yu | |
| dc.creator | Shanmugam,P | |
| dc.creator | Hyung Ryu,Joo | |
| dc.date | 2004-01-01 | |
| dc.date.accessioned | 2019-04-24T21:23:17Z | |
| dc.date.available | 2019-04-24T21:23:17Z | |
| dc.identifier | https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-65382004000200002 | |
| dc.identifier.uri | http://revistaschilenas.uchile.cl/handle/2250/56713 | |
| dc.description | This paper describes methods for the correction of the atmospheric effects in the Landsat VIS/NIR imagery in relation to the retrieval of meaningful information about the ocean color, especially from Case-2 waters around Korean peninsula. Three atmospheric correction (AC) methods implemented and examined, using the TOA radiance or reflectance data, are 6S radiative transfer model, spectral shape matching (SSMM) and path-extraction methods. The results show that overall shape and magnitude of radiance or reflectance spectra of the atmospherically corrected Landsat VIS/NIR imagery by SSMM appears to have very good agreement with the in-situ spectra collected for clear and turbid waters, while path-extraction over turbid waters though often reproduces in-situ spectra, but yields significant errors for clear waters due to the invalid assumption of zero values for the black ocean pixels of the Landsat VIS/NIR bands. Because of the standard atmosphere with constant aerosols and models adopted in 6S model, a large error is possible between the retrieved and in-situ spectra. Validation suggests that accurate the retrieval of water-leaving radiance is not feasible with the invalid assumption of classical AC algorithms, but is feasible with SSMM. | |
| dc.format | text/html | |
| dc.language | en | |
| dc.publisher | Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción | |
| dc.relation | 10.4067/S0717-65382004000200002 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Gayana (Concepción) v.68 n.2 suppl.TIProc 2004 | |
| dc.title | ATMOSPHERIC CORRECTION OF THE LANDSAT SATELLITE IMAGERY FOR TURBID WATERS | |
