Evaluation of MODIS SWIR and NIR-SWIR atmospheric correction algorithms using SeaBASS data
暂无分享,去创建一个
Menghua Wang | W. Shi | S. Son
[1] Menghua Wang,et al. The NIR-SWIR combined atmospheric correction approach for MODIS ocean color data processing. , 2007, Optics express.
[2] Menghua Wang,et al. Detection of turbid waters and absorbing aerosols for the MODIS ocean color data processing , 2007 .
[3] Menghua Wang. Remote sensing of the ocean contributions from ultraviolet to near-infrared using the shortwave infrared bands: simulations. , 2007, Applied optics.
[4] Wei Shi,et al. MODIS‐derived ocean color products along the China east coastal region , 2007 .
[5] Menghua Wang. Aerosol polarization effects on atmospheric correction and aerosol retrievals in ocean color remote sensing. , 2006, Applied optics.
[6] Wei Shi,et al. Cloud Masking for Ocean Color Data Processing in the Coastal Regions , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[7] Menghua Wang,et al. Effects of ocean surface reflectance variation with solar elevation on normalized water-leaving radiance. , 2006, Applied optics.
[8] P. J. Werdell,et al. A multi-sensor approach for the on-orbit validation of ocean color satellite data products , 2006 .
[9] P. J. Werdell,et al. An improved in-situ bio-optical data set for ocean color algorithm development and satellite data product validation , 2005 .
[10] Menghua Wang,et al. Estimation of ocean contribution at the MODIS near‐infrared wavelengths along the east coast of the U.S.: Two case studies , 2005 .
[11] Menghua Wang,et al. Study of the Sea‐Viewing Wide Field‐of‐View Sensor (SeaWiFS) aerosol optical property data over ocean in combination with the ocean color products , 2005 .
[12] M. Pinkerton,et al. Modification to the atmospheric correction of SeaWiFS ocean colour images over turbid waters , 2005 .
[13] H. Gordon,et al. Normalized water-leaving radiance: revisiting the influence of surface roughness. , 2005, Applied optics.
[14] Stanford B. Hooker,et al. An overview of the SeaWiFS project and strategies for producing a climate research quality global ocean bio-optical time series , 2004 .
[15] Kirk Knobelspiesse,et al. Unique data repository facilitates ocean color satellite validation , 2003 .
[16] R. Arnone,et al. Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters. , 2002, Applied optics.
[17] Stéphane Maritorena,et al. Optimization of a semianalytical ocean color model for global-scale applications. , 2002, Applied optics.
[18] S. Maritorena,et al. Atmospheric correction of satellite ocean color imagery: the black pixel assumption. , 2000, Applied optics.
[19] K. Ruddick,et al. Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters. , 2000, Applied optics.
[20] James L. Mueller,et al. SeaWiFS Algorithm for the Diffuse Attenuation Coefficient K(490) Using Water-Leaving Radiances at 490 and 555nm , 2000 .
[21] M. Kahru,et al. Ocean Color Chlorophyll Algorithms for SEAWIFS , 1998 .
[22] H. Gordon. Atmospheric correction of ocean color imagery in the Earth Observing System era , 1997 .
[23] Menghua Wang,et al. Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. , 1994, Applied optics.
[24] B Gentili,et al. Diffuse reflectance of oceanic waters: its dependence on Sun angle as influenced by the molecular scattering contribution. , 1991, Applied optics.