Marco Vargas, Ph.D.
Affiliations: | 2007 | City University of New York, New York, NY, United States |
Area:
Marine and Ocean EngineeringGoogle:
"Marco Vargas"Parents
Sign in to add mentorBarry Gross | grad student | 2007 | CUNY | |
(Improved retrieval of water leaving reflectance and chlorophyll in coastal productive waters.) |
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Publications
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Miura T, Muratsuchi J, Vargas M. (2018) Assessment of cross-sensor vegetation index compatibility between VIIRS and MODIS using near-coincident observations Journal of Applied Remote Sensing. 12: 45004 |
Obata K, Miura T, Yoshioka H, et al. (2016) Spectral cross-calibration of VIIRS enhanced vegetation index with MODIS: A case study using year-long global data Remote Sensing. 8 |
Shabanov N, Vargas M, Miura T, et al. (2015) Evaluation of the performance of Suomi NPP VIIRS top of canopy vegetation indices over AERONET sites Remote Sensing of Environment. 162: 29-44 |
Vargas M, Miura T, Shabanov N, et al. (2013) An initial assessment of Suomi NPP VIIRS vegetation index EDR Journal of Geophysical Research Atmospheres. 118: 12301-12316 |
Sapiano MRP, Brown CW, Schollaert Uz S, et al. (2012) Establishing a global climatology of marine phytoplankton phenological characteristics Journal of Geophysical Research: Oceans. 117 |
Vargas M, Kogan F, Guo W. (2011) Statistical normalization of Brightness Temperature records from the NOAA/AVHRR Proceedings of Spie - the International Society For Optical Engineering. 8156 |
Gross B, Vargas M, Zhou J, et al. (2009) Assessment of 412nm bio-optical reflectance estimator for use in atmospheric correction Proceedings of Spie - the International Society For Optical Engineering. 7459 |
Vargas M, Kogan F, Guo W. (2009) Empirical normalization for the effect of volcanic stratospheric aerosols on AVHRR NDVI Geophysical Research Letters. 36 |
Vargas M, Brown CW, Sapiano MRP. (2009) Phenology of marine phytoplankton from satellite ocean color measurements Geophysical Research Letters. 36 |
Oo M, Vargas M, Gilerson A, et al. (2008) Improving atmospheric correction for highly productive coastal waters using the short wave infrared retrieval algorithm with water-leaving reflectance constraints at 412 nm. Applied Optics. 47: 3846-59 |