1 INTRODUCTION We previously developed an algorithm named Tafkaa for atmospheric correction of remote sensing ocean color data from aircraft and satellite platforms. The algorithm allows quick atmospheric correction of hyperspectral data using lookup tables generated with a modified version of Ahmad & Fraser's vector radiative transfer code. During the past few years we have extended the capabi...

This paper proposes a methodology for combining satellite images with advection-diffusion models for interpolation and prediction of environmental processes. We propose a dynamic state-space model and an ensemble Kalman filter and smoothing algorithm for on-line and retrospective state estimation. Our approach addresses the high dimensionality, measurement bias, and nonlinearities inherent in s...

Primary production must constrain the amount of fish and invertebrates available to expanding fisheries; however the degree of limitation has only been demonstrated at regional scales to date. Here we show that phytoplanktonic primary production, estimated from an ocean-colour satellite (SeaWiFS), is related to global fisheries catches at the scale of Large Marine Ecosystems, while accounting f...

This paper discusses the validation of the operational Medium Resolution Imaging Spectrometer (MERIS) land product which corresponds to the biophysical variable of the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR). The FAPAR value is currently and automatically estimated from MERIS data at reduced resolution and it can be computed using the full resolution using the same phys...

The aim of the study presented herein is to use multisensor / multi-channel satellite images to compute meso-scale surface currents in the Northern and Central Baltic Proper. The images were acquired by the Thematic Mapper (TM) aboard Landsat, the Synthetic Aperture Radar (SAR) aboard ERS-2, the Wide-Field Scanner (WiFS) aboard the IRS satellites, and the Seaviewing Wide Field-of-View Sensor (S...

Gradient-descent algorithms have been successfully applied to many applications of computer vision, such as stereo matching, object recognition and medical image registration. Our work focuses on applying these techniques to remote sensing image data with a particular emphasis on data acquired under different conditions, such as multi-temporal or multi-sensor data. While most previous work has ...

We report application and validation of a spectral optimization algorithm for processing SeaWiFS data in Case 1 waters. The algorithm couples a simplified aerosol model with a sophisticated water-reflectance model to simultaneously retrieve both atmospheric and ocean parameters. Two of the retrieved ocean properties—the absorption coefficient of colored detrital material and the chlorophyll a c...

Atmospheric correction (AC) algorithms for ocean color (OC) data processing usually rely on ancillary documenting the atmosphere and sea state to help calculation of remote sensing reflectance $R_{\text {RS}}$ from radiance measured b...

Penelitian ini bertujuan untuk mengetahui variabilitas Suhu Permukaan Laut (SPL) dan konsentrasi klorofil-a (Chl-a) di perairan Palabuhanratu sekitarnya. menggunakan gabungan data citra satelit NOAA-AVHRR MODIS SPL, SeaWiFS Chl-a, angin permukaan bulanan dari European Centre for Medium-Range Weather Forecasts (ECMWF). Data pendukung berupa indeks El Nino Southern Oscillation (ENSO) dipole mode ...