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  • 2022 SEASTARex

    The 2022 SEASTARex campaign over the Iroise Sea (offshore Brittany in France), is the first scientific demonstration and validation campaign for the SEASTAR satellite mission Earth Explorer 11 candidate.

  • 20th GHRSST Science Team Meeting

    The 20th GHRSST International Science Team meeting in 2019 brought together sea surface temperature experts to look at future innovations.

  • 3rd Advanced Training Course on Land Remote Sensing 2011

    This 2011 advanced ESA training course focused on land remote sensing theory and applications.

  • ADAM Surface Reflectance Database v4.0

    ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1° spatial resolution (Plate Carree projection) and over the spectral range 240-4000 nm. The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices. The ADAM climatologies that feed the ADAM calculation tools are: For ocean: Monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). Monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land: Monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. Uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice: Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005.

  • Advanced Scatterometer Processing System for ERS data

    ASPS System and Product description presented at the ERS-ENVISAT Symposium Salzburg 2004: The Advanced Scatterometer Processing System for ERS Data: Design, Products, and Performances

  • Advanced Training Course in Land Remote Sensing 2012

    The 2012 advanced training course focused on land remote sensing theory and applications.

  • AfriScat

    AfriScat campaign, a follow on to TropiSCAT campaign, was to acquire long-term P-Band radar data in an African tropical forest.

  • AfriScat

    AfriScat campaign, a follow on to TropiSCAT campaign, was to acquire long-term P-Band radar data in an African tropical forest.

  • Amazon-rainforest-backscattering-during-the-ERS-2-Scatterometer-mission.pdf

    Paper presented at ASAR workshop 2003 Amazon Calibration session: On the stability of Amazon rainforest backscattering during the ERS-2 Scatterometer mission lifetime.

  • AROMAT-II

    This campaign covers the fields of atmospheric composition: NO2, SO2, aerosols, over Romania (Bucharest and Turceni) and Germany (Berlin).

  • AROMAT-II

    This campaign covers the fields of atmospheric composition: NO2, SO2, aerosols, over Romania (Bucharest and Turceni) and Germany (Berlin).

  • ASPS product handbook

  • Assessment of scatterometer wind retrieval model by ERS and ADEOS cyclone tracking

  • Assimilation of reprocessed ERS scatterometer data into ECMWF weather analysis on the Mediterranean Sea

  • BUFR-encoder-upgrade-for-ESACA-data.pdf

    Upgrade description and validation report: BUFR encoder upgrade for ESACA data.

  • Calibration strategy for ERS scatterometer data reprocessing.pdf

    Paper included in the Proceedings of SPIE Remote Sensing of the Ocean and Sea Ice 2005 - vol.5977- Brugge (Belgium): Calibration strategy for ERS scatterometer data reprocessing. WS Cal/Val.

  • CMOD4-Model-Description.pdf

    This document presents the backscatter model CMOD4.

  • CMOD5-N- C-band geophysical model function for equivalent neutral wind

  • Cyclone-tracking-with-ERS-2-scatterometer-Algorithm-performances-and-post-procesed-data-examples.pdf

    Paper presented at ERS-ENVISAT Symposium Gothenburg: Cyclone Tracking with ERS-2 Scatterometer - Algorithm performances and post-processed data examples

  • Dragon 2 Cooperation Programme

    The Dragon 2 Programme focussed on the exploitation of ESA, ESA's Third Party Missions and Chinese Earth observation data for science and applications development in land, ocean and atmospheric applications.