an ESA DUE initiative


ESA Privacy Notice

Further to the GDPR applicable since the 25th of May 2018, ESA has published theire privacy notice:

[...] Protection of Personal Data is of great importance for ESA, which strives to ensure a high level of protection as required by the ESA Framework on Personal Data Protection (herein the “ESA PDP Framework”) which applies in this field. ESA implements appropriate measures to preserve the rights of data subjects, to ensure the processing of personal data for specified and legitimate purposes, in a not excessive manner, as necessary for the purposes for which the personal data were collected or for which they are further processed, in conditions protecting confidentiality, integrity and safety of personal data and generally to implement the principles set forth in the PDP Framework. [...]

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International LST and Emissivity Group

The International Land Surface Temperature and Emissivity Working Group (ILSTE-WG) aims to provide advice and recommendations to the wider scientific and user communities on the best practices for retrieval, validation and exploitation of Land Surface Temperature (LST), Ice Surface Temperature (IST), Lake Surface Water Temperature (LSWT), and Land Surface Emissivity (LSE).

Period of report: January 2016

The main activities in this reporting period can be summarised as follows:

  • Deliverables all in progress, in review or awaiting approval
  • ILSTE-WG Steering Committee Telecon to discuss the Requirements of LST for Climate ready for the next GCOS Implementation Plan held on 3rd February 2016
  • Obtained 6 months (Jul-Dec 2010) of Lake Tahoe in-situ data for JPL's four buoys (Bulk Temperature & Radiative Skin Temperature)
  • Production of 3 years of merged GEO LST with updated variables (primary files), all GEOs bias-corrected to SEVIRI;
  • Improvement to CDR product include:
    • Development of an aerosol mask
    • Consistent approach (3-component model) to uncertainty estimation with SST and IST and other single-sensor LST datasets being integrated into CDR
    • Assessment of the uncertainty in the temporal correction between ATSR sensors using SEVIRI data