Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

SLSTR/Sentinel-3B L1 Full Resolution Top of Atmosphere Radiances and Brightness Temperature

Metadata Updated: July 9, 2024

The SLSTR/Sentinel-3B L1 Full Resolution Top of Atmosphere Radiances and Brightness Temperature product with shortname S3B_SL_1_RBT, is generated from the data acquired by the Sea and Land Surface Temperature Radiometer (SLSTR), on-board SENTINEL-3, is a dual scan temperature radiometer. The principal aim of the SLSTR instrument is to maintain continuity with the AATSR series of instruments. The SLSTR instrument design incorporates the basic functionality of AATSR in addition to new, more advanced features including a wider swath, new channels (including two channels dedicated to fire detection), and higher resolution in some channels. The principal objective of SLSTR products is to provide global and regional Sea and Land Surface Temperature (SST, LST) to a very high level of accuracy (better than 0.3 K) for both climatological and meteorological applications.

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

The S3B_SL_1_RBT is a Level 1B product which consist of full resolution, geolocated, co-located nadir and along track view, Top of Atmosphere (TOA) brightness temperatures (in the case of thermal IR channels) or radiances (in the case of visible, NIR and SWIR channels) from all SLSTR channels. It also contains quality flags, pixel classification information and meteorological annotations. Based on components activated by configuration which are not part of the operational production baseline, the S3B_SL_1_RBT may contain 77 or 111 files. Out of the these files, 22 or 34 files contain the actual measurements, where the other 54 or 76 files contain the annotations data.

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

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

Dates

Metadata Created Date November 12, 2020
Metadata Updated Date July 9, 2024

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date July 9, 2024
Publisher Not provided
Maintainer
Identifier C1625667016-LAADS
Data First Published 2019-08-01
Language en-US
Data Last Modified 2024-07-03
Category Sentinel-3B, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation European Space Agency. 2019-08-01. SLSTR/Sentinel-3B L1 Full Resolution Top of Atmosphere Radiances and Brightness Temperature. Version 1.
Creator European Space Agency
Harvest Object Id 480b0205-21b9-4ee9-b551-180bfa8b1776
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://cmr.earthdata.nasa.gov:443/search/concepts/C1625667016-LAADS.html
Metadata Type geospatial
Old Spatial -180.0 -90.0 180.0 90.0
Program Code 026:001
Source Datajson Identifier True
Source Hash ac2a490e029351f5875e33e40cd373432405ac0538b43f71baef5aae36512617
Source Schema Version 1.1
Spatial
Temporal 2018-04-25T18:00:00Z/2024-07-08T00:00:00Z

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