Abstract “Clear water” is a scale-dependent concept, so it is more likely to successfully find the “clear water” from images with smaller scale than that with larger scale data. In this study, an optimal spectral relationship of moderate-resolution imaging spectroradiometer (MODIS) 250m and 1km resolution data at near-infrared bands (OSRLM) is constructed for converting pseudo “clear water” reflectance at 859nm to those at 748 and 869nm. According to scale effects, the satellite-observed pseudo “clear water” reflectance is greater than 5.18%, larger than that derived from OSRLM model. An atmospheric correction model for MODIS 1km data using pseudo “clear water” reflectance of MODIS 250m data (ACMM) was developed for improving the performance of traditional “clear water” atmospheric correction model (CWAC). The model validation results indicate that ACMM model has a better performance than CWAC model. By comparison, the uncertainty decreases by 19.18% in the use of ACMM model over CWAC model for deriving water-leaving reflectance in Taihu Lake, China. This uncertainty is significantly reduced in water-leaving reflectance estimation due to partial removal of scale effects on “clear water”. These findings imply that satellite-derived aerosol scattering contribution at smaller scale usually has a better performance than that at larger scale.
The use of MODIS 250m bands to improve the MODIS 1km ocean color atmospheric correction algorithm in turbid water
Advances in Space Research ; 51 , 9 ; 1750-1760
2012-11-30
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
MODIS Atmospheric Data Handler
Online Contents | 2008
Future U.S. ocean color missions—OCI, MODIS and HIRIS
Elsevier | 1987
|Performance of the MODIS Semi-Analytical Ocean Color Algorithm for Chlorophyll-a
British Library Conference Proceedings | 2004
|