DATASET

EMIS - MODIS-AQUA Monthly anomalies particulate backscattering coefficient at 443nm (4km) in m^-1

Collection: EMIS : Environmental Marine Information System 

Description

Particulate matter (particulate backscatter coefficient at 443nm, bbp in m^-1 at 4km resolution): The backscatter coefficient bbp represents the fraction of incident light that is scattered backward from its original path by particulate material in the water. The backscattering coefficient gives a good indication of the concentration of suspended organic and inorganic particles (e.g. sediments) in the water.

Contact

Email
jrc-emis (at) ec.europa.eu

Contributors

  • Frederic Melin

How to cite

Melin, Frederic (2013): EMIS - MODIS-AQUA Monthly anomalies particulate backscattering coefficient at 443nm (4km) in m^-1. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/b2d82f30-9d34-460c-bb6e-47782f2d1879

Keywords

climate change coastal environment marine environment marine monitoring ocean color particulate backscatter coefficient anomalies satellite observations sea water protection GIS digital format

Data access

EMIS - Download access (EMIS_A_ANO_BBP)
URL 
  • Direct NetCDF download

Spatial coverage

Type Value
GML
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GML
<gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2">  <gml:exterior>    <gml:LinearRing>      <gml:posList>-30 70 42 70 42 10 -30 10 -30 70</gml:posList>    </gml:LinearRing>  </gml:exterior></gml:Polygon>
WKT
POLYGON ((-30 70, 42 70, 42 10, -30 10, -30 70))

Temporal coverage

From date To date
2002-07-01 2012-12-31

Lineage information

General information: Monthly anomalies particulate backscattering coefficient at 443nm in m^-1 derived from the MODIS-AQUA sensor. Processing information: bbp data is reprocessed using SeaDAS 6.4 software and the QAA algorithm (Lee et al., 2002). Temporal characteristics: This dataset consists of standard monthly anomalies sea surface layer bbp maps at 4km resolution (L3 product). Description of observation methods/instruments: The remote sensing of 'Ocean Colour' represents a measure of the spectral variations in the light leaving the water surface, subsequently interpreted in terms of concentrations of optically-significant constituents in the water. The electromagnetic signal collected by the sensor on-board the satellite is largely determined by photons that have never reached the water surface, but have been backscattered within the atmosphere through multiple interactions between gas molecules and aerosols. After removing the atmospheric contribution, the water leaving radiance recorded at a given time by the satellite reflects the optical properties of the water which, in turn, mirrors a specific structure and biogeochemical composition of the marine waters. The satellite-derived reflectance at the air-sea interface is related to inherent optical properties of the water constituents including as bbp. Quality/accuracy/calibration information: The calculation is based on a semi-analytical bio-optical algorithm. More details as well as validation results are given in Lee et al. (2002), IOCCG (2006) or Melin et al. (2007). References: Lee, Z.-P., Carder, K.L., Arnone, R.: Deriving inherent optical properties from water color: A multiband quasi-analytical algorithm for optically deep waters. Appl. Opt., 41, 5755-5772, 2002. IOOCG Report 5: Remote sensing of inherent optical properties: Fundamentals, tests of algorithms, and applications, Eds. Z.-P. Lee, 126pp., 2006. Mélin,F., Zibordi, G., Berthon, J.-F.: Assessment of satellite ocean color products at a coastal site. Remote Sens. Environ., 110, 192-215, 2007. Other contextual information: The product is stored in NetCDF data and available for download.

Additional information

Published by
European Commission, Joint Research Centre
Created date
2020-11-23
Modified date
2020-11-23
Issued date
2013-08-29
Landing page
http://emis.jrc.ec.europa.eu/ 
Language(s)
English
Data theme(s)
Environment
Update frequency
unknown
Identifier
http://data.europa.eu/89h/b2d82f30-9d34-460c-bb6e-47782f2d1879
Popularity