Dimitry Van der Zande – RBINS Kevin Ruddick - RBINS

Slides:

Advertisements

Similar presentations

GMES Marine Service MY OCEAN 5th GEO European projects Workshop Frédéric ADRAGNA MyOcean Project Manager London – 8/9 February 2011.

Advertisements

Lisl Robertson, University of Cape Town, RSA with assistance from Stewart Bernard Christo Whittle GOOS AFRICA.

An Optically-Based Technique for Producing Merged Water-Leaving Radiances; Validation and Application for the Mediterranean Basin Motivation: Combining.

A33C-0161 On the New Satellite Aerosol Measurements for Atmospheric Applications: VIIRS Aerosol Products Summary Different match-up criteria also were.

OOI Data QC workshop, June 6-8, 2012, Darling Marine Center, Univ. Maine Data QC for the BOUSSOLE bio-optical time series project (issues, and solutions?)

September 17-18, 2008 Tokyo International Exchange Center SIT-22 Tokyo, Japan Ocean Color Radiance (OCR) Virtual Constellation (VC) Image from ESA’s GlobColour.

Weymouth (125) Lowestoft (375) RV Endeavour Smarter Marine Monitoring from Space Rodney Forster, Cefas 1- Current uses in monitoring, operations and forecasting.

Sentinel-3 Validation Team (S3VT) Meeting ESA/ESRIN, Frascati, Italy, th November 2013 BOUSSOLE David ANTOINE CNRS-LOV, France now at: Curtin University,

Lesson 12: Technology I Technology matters Most of the topics we’ve learned so far rely on measurement and observation: – Ocean acidification – Salinity.

Characterization of radiance uncertainties for SeaWiFS and Modis-Aqua Introduction The spectral remote sensing reflectance is arguably the most important.

Optical in situ and geostationary satellite-borne observations of suspended particles in coastal waters Griet Neukermans 1,2 Promoter: Hubert Loisel 2.

AERONET-OC: Gloria Istanbul, November Giuseppe Zibordi.

Evaluation of atmospheric correction algorithms for MODIS Aqua in coastal regions Goyens, C., Jamet, C., and Loisel, H. Atmospheric correction workshop.

PJW, NASA, 13 Jun 2012, AtmCorr in Wimereux Comparison of ocean color atmospheric correction approaches for operational remote sensing of turbid, coastal.

2nd MERIS/(A)ATSR User Workshop 22nd to 26th September 2008 ESA/ESRIN Frascati (Rome) Italy Update on validation of MERIS  w ’s at the BOUSSOLE site David.

IMOS Remote Sensing Cal/Val Twin goals: Local algorithm and product development Contribute to global databases and algorithms 3 main activities SST, Helen.

Monthly Composites of Sea Surface Temperature and Ocean Chlorophyll Concentrations These maps were created by Jennifer Bosch by averaging all the data.

Surface Reflectance over Land: Extending MODIS to VIIRS Eric Vermote NASA GSFC Code 619 MODIS/VIIRS Science Team Meeting, May.

UNH Coastal Observing Center NASA GEO-CAPE workshop August 19, 2008 Ocean Biological Properties Ru Morrison.

A.B. VIIRS (Nov. 20, 2013).

In situ science in support of satellite ocean color objectives Jeremy Werdell NASA Goddard Space Flight Center Science Systems & Applications, Inc. 6 Jun.

1 Water Framework Directive (WFD) of the European Union © Acri-st, all rights reserved – 2014 Satellite-derived data for the Water Framework Directive.

Atmospheric Correction Algorithms for Remote Sensing of Open and Coastal Waters Zia Ahmad Ocean Biology Processing Group (OBPG) NASA- Goddard Space Flight.

VALIDATION OF SUOMI NPP/VIIRS OPERATIONAL AEROSOL PRODUCTS THROUGH MULTI-SENSOR INTERCOMPARISONS Huang, J. I. Laszlo, S. Kondragunta,

Retrieving Coastal Optical Properties from MERIS S. Ladner 1, P. Lyon 2, R. Arnone 2, R. Gould 2, T. Lawson 1, P. Martinolich 1 1) QinetiQ North America,

Monitoring Bio-Optical Processes Using NPP-VIIRS And MODIS-Aqua Ocean Color Products Robert Arnone (1), Sherwin Ladner (2), Giulietta Fargion (3), Paul.

Analysis of GOCI data in Preparation for GEO-CAPE Curtiss O. Davis 1 ZhongPing Lee 2 1 COAS, Oregon State University, Corvallis, OR USA

Remote Sensing & Satellite Research Group

AMFIC: Aerosol retrieval Gerrit de Leeuw, FMI/UHEL/TNO Pekka Kolmonen, FMI Anu-Maija Sundström, UHEL Larisa Sogacheva, UHEL Juha-Pekka Luntama, FMI Sini.

Evaluation of VIIRS ocean color data using measurements from the AERONET-OC sites Samir Ahmed* a, Alex Gilerson a, Soe Hlaing a, Ioannis Ioannou a, Menghua.

Use of remote sensing in monitoring algal blooms in inland water bodies Anabel A. Lamaro Fortaleza 1-

Ocean Color Radiometer Measurements of Long Island Sound Coastal Observational platform (LISCO): Comparisons with Satellite Data & Assessments of Uncertainties.

Soe Hlaing *, Alex Gilerson, Samir Ahmed Optical Remote Sensing Laboratory, NOAA-CREST The City College of the City University of New York 1 A Bidirectional.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Image: MODIS Land Group,

Ocean Color Remote Sensing Pete Strutton, COAS/OSU.

What is the key science driver for using Ocean Colour Radiometry (OCR) for research and applications? What is OCR, and what does it provide? Examples of.

Optical Water Mass Classification for Interpretation of Coastal Carbon Flux Processes R.W. Gould, Jr. & R.A. Arnone Naval Research Laboratory, Code 7333,

GlobColour overview and achievements after two years Globcolour / Medspiration user consultation, Nov , 2007, Oslo Session 2 – Progress with the.

NASA Ocean Color Research Team Meeting, Silver Spring, Maryland 5-7 May 2014 II. Objectives Establish a high-quality long-term observational time series.

ESA’s ENVISAT Satellite RGB Imagery from MERIS (ENVISAT) Applied Research in Geomatics, Atmosphere, Nature and Space (UK) Managing Director:

Page 1 Validation Workshop, 9-13 th December 2002, ESRIN ENVISAT Validation Workshop AATSR Report Marianne Edwards Space Research Centre Department of.

VIIRS Product Evaluation at the Ocean PEATE Frederick S. Patt Gene C. Feldman IGARSS 2010 July 27, 2010.

GlobColour / Medspiration user consultations, Nov 20-22, 2007, Oslo Validation of the GlobColour Full product set ( FPS ) over open ocean Case 1 waters.

SNPP Ocean SIPS status SNPP Applications Workshop 18 November 2014 Bryan Franz and the Ocean Biology Processing Group.

NASA’s Coastal and Ocean Airborne Science Testbed (COAST) L. Guild 1 *, J. Dungan 1, M. Edwards 1, P. Russell 1, S. Hooker 2, J. Myers 3, J. Morrow 4,

ISAC Contribution to Ocean Color activity Mediterranean high resolution surface chlorophyll mapping Use available bio-optical data sets to estimate the.

April 29, 2000, Day 120 July 18, 2000, Day 200October 16, 2000, Day 290 Results – Seasonal surface reflectance, Eastern US.

SeaWiFS Calibration & Validation Strategy & Results Charles R. McClain SeaWiFS Project Scientist NASA/Goddard Space Flight Center February 11, 2004.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Image: MODIS Land Group,

Coastal Optical Characterization Experiment (COCE) Activities at STAR NOAA 2013 Satellite Conference, April 7-12, 2013 M. Ondrusek,

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 NOAA CoastWatch/OceanWatch Ocean Color Activities: Contributions to Ocean.

NASA OBPG Update OCRT Meeting 23 April 2012 Bryan Franz and the NASA Ocean Biology Processing Group.

International Ocean Color Science Meeting, Darmstadt, Germany, May 6-8, 2013 III. MODIS-Aqua normalized water leaving radiance nLw III.1. R2010 vs. R2012.

OC3522Summer 2001 OC Remote Sensing of the Atmosphere and Ocean - Summer 2001 Ocean Color.

WP4. Brainstorm Statistics -RS component- Dimitry Van der Zande (RBINS)

Consulting and Technology Technical Excellence | Pragmatic Solutions | Proven Delivery Calibration Test Sites Selection and Characterisation WP 240 Equipment.

Altimeter and scatterometer seminar SMHI, March 2012 Future of satellite altimeters Sentinel-3 and SWOT Julia Figa Saldaña With contributions from Sentinel-3.

VIIRS-derived Chlorophyll-a using the Ocean Color Index method SeungHyun Son 1,2 and Menghua Wang 1 1 NOAA/NESDIS/STAR, E/RA3, College Park, MD, USA 2.

Remote Sensing of the Ocean and Coastal Waters

D e v e l o p m e n t o f t h e M N I R-S W I R a n d AA a t m o s p h e r I c c o r r e c t I o n a n d s u s p e n d e d s e d I m e n t c.

Deliberative control for satellite-guided water quality monitoring

Ocean Report Australia – Ocean Colour & SST

Research into Salar de Uyuni Reflectance Values

Extending MICROS to include Solar Reflectance Bands (SRB)

Jian Wang, Ph.D IMCS Rutgers University

IMAGERY DERIVED CURRENTS FROM NPP Ocean Color Products 110 minutes!

RESULTS-1. Validation of chlorophyll algorithms

Satellite Sensors – Historical Perspectives

Satellite-derived data for the Water Framework Directive (WFD) of the European Union Abstract : The application of the Water Framework Directive (WFD)

Assessment of Satellite Ocean Color Products of the Coast of Martha’s Vineyard using AERONET-Ocean Color Measurements Hui Feng1, Heidi Sosik2 , and Tim.

Presentation transcript:

Dimitry Van der Zande – RBINS Kevin Ruddick - RBINS AERONET-Ocean Colour: presentation of the network, and the new North Sea installations Dimitry Van der Zande – RBINS Kevin Ruddick - RBINS

AERONET-OC: Continuous calibration/validation The ocean color component of the Aerosol Robotic Network (AERONET-OC) has been implemented by NASA to support long-term satellite ocean color investigations through cross-site consistent and accurate measurements collected by autonomous radiometer systems deployed on offshore fixed platforms. The main application of AERONET-OC data is the calibration/validation of primary satellite products for current (e.g. NASA MODIS & VIIRS) and future satellite missions (ESA Sentinel-3, Sentinel-2) over a variety of complex coastal waters. CIMEL-SEAPRISM AERONET-OC stations providing NRT data to NASA

Two AERONET-OC stations in the BCZ Two new AERONET-OC stations have been prepared/installed in Belgian waters for the validation of ocean colour sensors in a multi-sensor perspective. One is located in a nearshore turbid water location (Zeebrugge-MOW1 site) One is located further offshore in clearer water (Thornton site) Belgian waters and the location of the two new AERONET-OC sites. RGB composite from Landsat-8 on 8.9.2014 at 10:40 UTC CIMEL-SeaPRISM installed on the Zeebrugge-MOW1 site.

CIMEL SeaPrism on MOW1

CIMEL SeaPrism on MOW1 (Zeebrugge) Measurement pole ‘MOW1’ near Zeebrugge in 10m water depth, 3.65km from land. SeaPrism instrument is installed on the platform rail Time series of Suspended Particulate matter (top) and Chlorophyll a (bottom) at the Zeebrugge/MOW1 location for MERIS, MODIS and SeaWiFS over the period 2002-6 (top) Water reflectance from MERIS (2nd reproc) data for 2002-2012 with the mean of all spectra (red line). (bottom) Water reflectance from AERONET-OC measurements (Feb 2014-Feb 2015) 1865 water leaving radiance spectra  222 retained after level 1.5 QC SeaPRISM has been recalibrated by NASA and is ready for redeployment

CIMEL SeaPrism on Thornton site (C-Power OTS) Cimel 906 installation

CIMEL SeaPrism on Thornton site (C-Power OTS)

CIMEL SeaPrism on Thornton site (C-Power OTS) Time series of Suspended Particulate matter (top) and Chlorophyll a (bottom) at the Thornton Bank location for MERIS, MODIS and SeaWiFS over the period 2002-6 (top) Water reflectance from MERIS (2nd reproc) data for 2002-2012 with the mean of all spectra (red line). (bottom) Water reflectance from AERONET-OC measurements (April-Nov 2015) C-Power offshore transformer station on the Thornton bank in 19m water depth, 26.25km from land. SeaPRISM instrument will be installed on the upper platform rail corner. 1369 water leaving radiance spectra  399 retained after level 1.5 QC SeaPRISM will be dismounted in November 2015 for recalibration by NASA Redeployment planned March 2016

CIMEL SeaPrism: data AERONET-OC data processed by NASA In NRT available from AERONET-OC website V1 = all data V1.5 = quality controlled by NASA V2 = quality controlled after 2nd calibration of CIMEL

Conclusions The North Sea AERONET-OC stations enables continuous calibration/validation in 2 types of water which vary strongly in terms of CHL and SPM Automated measurements potentially will deliver a match-up with satellite observations on every cloudless day. (~50-80/year) The network of North Sea AERONET stations will be extremely useful for validation of the new satellites missions (Sentinel-2 / Sentinel-3)