Minimize Programme
Thursday 6 April 2017
Introduction
09:30 - 09:40 Welcome and Introduction

P. Goryl, A. Dehn;

ESA

09:40 – 10:00 Welcome presentation from LOA LOA
10:00 – 10:10 Lessons learned from previous IDEAS+ Cal/Val workshops and current Meeting Objectives G. Davies, F. Niro; Serco
Calibration, Traceability and Uncertainty
10:10 – 10:30 A Tuneable Laser for the Characterisation of Spectrometers (ATLAS): Status and updates J. Groebner; PMOD-WRC
10:30 – 11:00 Coffe break
11:00 – 11:20 An automated Radiometric Calibration and data quality structure for Optical EO Missions S. Mackin; EOSense
11:20 – 11:50 Traceability and Uncertainty: lessons learned from FIDUCEO and relevance for ESA-SPPA activities C. Merchant; Uni. Reading
Land and Cryosphere
11:50 – 12:20 Land Products Validation for Sentinel-2 and Landsat-8:Results and Lessons Learned from MBASSS project R. Soffer;J.P. Arroyo-Mora; NRC
12:20 – 13:20 Lunch
13:20 – 13:40 Sentinel-2 Bottom-of-Atmosphere reflectance factor inter-comparison and biophysical parameter retrieval B. Brede; Uni. Wageningen
13:40 – 14:00 Use of the Dynamic Time Warping method to consolidate Sentinel-2/Landsat-8 fused time series G. Salgues, B. Berthelot;
Magellium
14:00 – 14:20 Atmospheric Correction Inter-comparison Exercise for Sentinel-2 and Landsat-8 (ACIX): Status and updates G. Doxani; Serco
14:20 – 14:40 Cloud Detection Round Robin for Proba-V: Intercomparison results and recommendations R. Iannone, F. Niro; Serco
14:40 – 15:00 Sentinel-1 for Wet Snow Monitoring D. Small; U. of Zurich
10:30 – 11:00 Coffe break
Oceans and Coastal Zones
15:30 – 15:50 Atmospheric Correction and Vicarious Calibration of MERIS/OLCI C. Mazeran; Solvo
15:50 – 16:10 Analysis of the uncertainty in the MERIS atmospheric correction and its impact on the vicarious gain calibration F. Zagolski; ParBleu
16:10 – 16:30 Multi-Scale analysis of coastal altimetry data, multi-sensor observations and numerical modelling over NWMed sea M. Meloni; Serco
16:30 – 16:50 A framework for Variational uncertainty +
The new Land-water Intertidal Mask
C. Brockmann;
Brockmann Consult
Discussion and Recommendations
16:50 – 17:30 Discussion and Recommendations ESA. All
18:00 Visit to LOA Calibration Facility (PHOTONS)
20:00 Social Dinner (Restaurant Grill Sainte-Anne, Lille)

 

Friday 7 Apr 2017
Atmosphere 1: Aerosol
09:00 – 09:20 Some key aspects of Inversion Method implementation in Remote Sensing O. Dubovik; LOA
09:20 – 09:40 Update of PHOTONS Calibration Facility and advances in Aerosol Retrieval from joint photometer and lidar observations P. Goloub; LOA
09:40 – 10:00 Testing New Approaches to retrieve Aerosol properties from joint Photometer-LIDAR inversion Qiaoyun Hu; LOA
10:00 – 10:20 Analysis of sensitivity tendencies in Aerosol Remote Sensing B. Torres; LOA
10:20 – 10:40 Aerosol and Surface Retrieval from MERIS using GRASP algorithms, preliminary results for OLCI and SLSTR (CAWA project) O. Dubovik; LOA
10:40 – 11:00 Coffe break
Atmosphere 2: Atmospheric Composition
11:00 – 11:20 Pandonia Fiducial Reference Measurements for Atmospheric Composition: Status and Updates M. Tiefengraber; Luftblick
11:20 – 11:40 Contributions to Pandonia by six Pandora-2s at globally distributed sites J. Fischer; FUB
11:40 – 12:00 The Boundary layer Air Quality-analysis Using Network of Instruments (BAQUNIN) A. Iannarelli, S. Casadio; Serco
12:00 – 12:20 ITCZ Analysis using AIRWAVE retrievals of TCWV from (A)ATSR series and potential extension to SLSTR E. Papandrea, S. Casadio; Serco
12:20–13:20 Lunch
13:20–13:40 Generation of a consistent Long Term dataset of stratospheric trace gases from Odin SMR data G. Brizzi; Serco
13:40–14:00 ESA Atmospheric Validation Data Centre (EVDC): Project's status and future evolution P. Castracane; RHEA
Discussion and Recommendations
14:00 – 15:00 Collaborations, synergies and potential future activities within IDEAS+ framework ESA. All
14:00 – 15:00 Meeting wrap-up and Recommendations Date and scope for next Cal/Val Workshop G. Davies, F. Niro; Serco

 

 

The list of Participants to the Workshop can be found here.