Remotely-sensed Ocean color data offer a unique opportunity for studying variations of bio-optical properties which is especially valuable in the Arctic (AO) where situ are sparse. In this study, we re-processed raw from Sea-viewing Wide Field-of-View (SeaWiFS, 1998–2010) and MODerate resolution Imaging Spectroradiometer (MODIS, 2003–2016) ocean-color sensors to ensure compatibility with first ...

The detection of Dense Dark Vegetation (DDV) using the Atmospherically Resistant Vegetation Index (ARVI) and then the aerosol retrieval over DDV are the critical points of the land part of the processing of MERIS images implemented in the level 2 processor. We present here the first validation attempt of the MERIS aerosol product over land by checking its consistency and comparing it to AERONET...

A hydro-optical algorithm based on reflectance at 555nm has been used in the past for suspended particulate matter concentrations (SPM) retrieval from SeaWiFS over the Belgian coastal (case II) waters in Southern North Sea. The extra spectral resolution of MERIS offers the possibility of improvements, though necessitates algorithm recalibration. This study presents the calibration of the hydro-...

An advanced operational semi-empirical algorithm for processing satellite remote sensing data in the visible region is described. Based on the Levenberg-Marquardt multivariate optimization procedure, the algorithm is developed for retrieving major water colour producing agents: chlorophyll-a, suspended minerals and dissolved organics. Two assurance units incorporated by the algorithm are intend...

In this paper, neural network-based methods incorporating ensemble learning techniques are presented that estimate chlorophyll a (chl a) concentration in the coastal waters of the Gulf of Maine (GOM). A dataset was constructed consisting of in situ chl a measurements from the GOM matched with satellite data from the Sea-viewing Wide-Field-of-view Sensor (SeaWiFS). These data were used to develo...

Retrievals of ocean surface chlorophyll-a concentration (Chla) by multiple ocean color satellite sensors (SeaWiFS, MODIS-Terra, MODIS-Aqua, MERIS, VIIRS) using standard algorithms were evaluated in the California Current using a large archive of in situ measurements. Over the full range of in situ Chla, all sensors produced a coefficient of determination (R) between 0.79 and 0.88 and a median a...