OLCI/SENTINEL-3A L1 Full Resolution Top of Atmosphere Reflectance

Metadata Updated: August 9, 2018

The Ocean and Land Colour Instrument (OLCI) on board European Earth Observation satellite mission, SENTINEL-3, is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth at a ground spatial resolution of 300m, over all surfaces, in 21 spectral bands. OLCI is based on the imaging design of ENVISAT's Medium Resolution Imaging Spectrometer (MERIS). It has a 1270km wide swath.

For more information about the instrument and the mission, visit "Sentinel Online" at https://sentinel.esa.int/web/sentinel/home

The OLCI Level-1B product, S3A_OL_1_EFR, is Level 1 full resolution (i.e. at native instrument spatial resolution - ~300m) Top of the Atmosphere Reflectance product. This is composed of an information package map, called a manifest, 22 measurement data files, and seven annotation data files. The 21 measurement data files (one for each band) Top Of Atmosphere (TOA) radiances, calibrated to geophysical units (W.m-2. sr-1 [HTML_REMOVED]m-1), georeferenced onto the Earth's surface, spatially resampled onto an evenly spaced grid. Seven annotation files information on illumination and observation geometry, environment data (meteorological data) and quality and classification flags. Both measurement data files and annotation data files are written in netCDF 4 format. The manifest file is in XML format and contains metadata associated with the instrument and the processing. The S3A_OL_1_EFR is generated in Earth Observation (EO) processing mode and all parameters in this product are provided for each re-gridded pixel on the product image and for each removed pixel.

The OL_1_EFR product package is described below:

Element name Description Manifest.safe SENTINEL-SAFE product manifest Oa##_radiance.nc Radiance for OLCI acquisition bands 01 to 21 Removed_pixels.nc Removed pixels information needed for Level-1C generation Time_coordinates.nc Time stamp annotations Geo_coordinates.nc High resolution georeferencing data Quality_flags.nc Classification and quality flags Tie_geo_coordinates.nc Low resolution georeferencing data Tie_geometries.nc Sun and view angles Tie_meteo.nc ECMWF meteorology data Instrument_data.nc Instrument data

note: Oa## represents all the OLCI channels (Oa1 to Oa21).

For more information about the product, read the SENTINEL-3 OLCI User Guide at https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources




Metadata Created Date August 9, 2018
Metadata Updated Date August 9, 2018

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 9, 2018
Metadata Updated Date August 9, 2018
Publisher Not provided
Unique Identifier C1286874966-LAADS
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id ae9d655c-a604-40c5-a803-8fe15d2d7741
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2016-08-01T00:00:00.000Z
Language en-US
Metadata Type geospatial
Data Last Modified 2018-04-04T00:00:00Z
Program Code 026:001
Publisher Hierarchy U.S. Government > National Aeronautics and Space Administration > Not provided
Related Documents https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/450/, https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-olci/processing-levels/level-1
Source Datajson Identifier True
Source Hash f546561647993111f49efe5cc6cab931989fc913
Source Schema Version 1.1
Spatial -180.0 -90.0 180.0 90.0
Temporal 2016-08-01T00:00:00Z/2018-04-04T00:00:00Z
Category GMES, geospatial

Didn't find what you're looking for? Suggest a dataset here.