This ATBD describes the impact of the relevant absorption features due to atmospheric gases within the spectral domain of OLCI. Procedures will be discussed to correct the influence of atmospheric gas absorption for those OLCI channels, which are significantly affected.
The aim of the classification is to distinguish water and land i.e. it will be designed to separate pixels into the water and land chains as there is currently no OLCI atmospheric processing chain.
This ATBD describes the algorithm for the determination of inherent optical properties (IOPs) and the concentration of water constituents in case 2 waters from water leaving radiance reflectance spectra to be used for the Ocean and Land Colour Imager (OLCI) of the Earth Observation Mission Sentinel-3 of the European Space Agency (ESA).
This ATBD describes the retrieval of water vapour from OLCI measurements above land, ocean and clouds.
The purpose of this document is to lay out algorithms for the OLCI ocean colour products in Case 1 waters.
The purpose of this document is to lay out the OLCI atmospheric correction algorithm above Case 1 waters.
This document describes the algorithms for synergistic processing of data from SLSTR and OLCI to (i) retrieve aerosol optical properties and surface reflectance for cloud-free atmospheres over land, and (ii) to provide comparable products to SPOT-VGT, to allow continuity of data delivery for existing user community of SPOT-VGT. The document includes all assumptions, discusses technical tradeoffs and describes the algorithms in terms of physical background as well as mathematical breakdown.
The Bottom of Rayleigh Reflectance (BRR) is a level 2 product over land that can be used in pixel classification. The Rayleigh correction formulation, defined for MERIS, remains pertinent for OCLI. One major improvement should be the use of a DEM of improved spatial resolution, and a smile correction is also simple to introduce.
This Algorithm Theoretical Basis Document (ATBD) describes the Joint Research Centre (JRC)- procedure used to retrieve information of absorbed photosynthetical radiation by the vegetated terrestrial surfaces from an analysis of the Top Of Atmosphere (TOA) data acquired by the future Ocean Land Colour Instrument (OLCI).
The purpose of this algorithm is to determine the correction for NIR reflectance needed for the full atmosphere correction model - applied to visible wavelengths.
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