{"id":4978,"date":"2026-05-11T13:03:30","date_gmt":"2026-05-11T13:03:30","guid":{"rendered":"https:\/\/hygeos.com\/?p=4978"},"modified":"2026-05-11T14:47:36","modified_gmt":"2026-05-11T14:47:36","slug":"hygeos-at-egu-2026","status":"publish","type":"post","link":"https:\/\/hygeos.com\/en\/hygeos-at-egu-2026\/","title":{"rendered":"HYGEOS at EGU 2026"},"content":{"rendered":"
<\/span><\/div><\/div><\/div><\/div><\/div><\/div>

HYGEOS at EGU 2026<\/h1><\/div>

The European Geosciences Union (EGU) General Assembly (GA)<\/a> took place in Vienna from 3rd<\/sup> to 8th<\/sup> May 2026. Again this year, HYGEOS scientist display exciting results, and took the opportunity to meet with colleagues from Europe and beyond.<\/p>\n<\/div>

Advancing Thermal Remote Sensing: Optimizing LST\/LSE Retrieval for the TRISHNA mission and Urban Climate Monitoring<\/strong><\/h3><\/div>

Our team presented an optimized version of the surface temperature-emissivity separation algorihtm DirecTES, for the upcoming Thermal infraRed Imaging Satellite for High-resolution Natural resource Assessment<\/a> (TRISHNA) satellite mission (jointly developed by CNES and ISRO). We introduced a universal spectral emissivity library and implemented a dynamic selection criterion that ensures reliable LST and Land Surface Emissivity (LSE) retrieval across diverse surface types. This innovation resolves previous threshold limitations, effectively eliminating retrieval gaps in heterogeneous and desertic landscapes. Validation with match-ups of ECOSTRESS satellite observations and in-situ ground measurements at La Crau, France, demonstrated strong performance: a root mean square error (RMSE) of < 0.9 K and a bias < 0.15 K. These results confirm the algorithm\u2019s readiness for operational deployment on TRISHNA. The presentation is available here<\/strong><\/a>.<\/p>\n

The session also facilitated valuable scientific exchange on enhancing the spatio-temporal resolution of thermal maps. Experts highlighted the potential of fusing multispectral thermal infrared (TIR) and visible-band observations with auxiliary surface parameters\u2014including emissivity maps and Local Climate Zones (LCZ)\u2014to train machine learning and deep learning models. This data-driven approach holds significant promise for generating high-resolution, urban-scale thermal maps to support climate adaptation planning.<\/p>\n

Our team remains committed to advancing remote sensing technologies that deliver actionable insights for urban climate resilience and sustainable development.
For further information on our work with TRISHNA, thermal data processing, or to discuss collaboration opportunities, please contact maxime.farin@hygeos.com<\/a><\/span><\/strong><\/p>\n<\/div>

Support to CAMS update: changes to the Integrated Forecasting System with atmospheric composition mode<\/strong><\/h3><\/div>

The Integrated Forecasting System with atmospheric composition extension (IFS-COMPO) of ECMWF<\/a> is used in the Copernicus Atmosphere Monitoring Service<\/a> (CAMS) to provide global analyses and forecasts of atmospheric composition, including reactive gases, as well as aerosol and greenhouse gases. The IFS-COMPO system is composed of tropospheric and stratospheric aerosol and chemistry components.<\/p>\n

Samuel R\u00e9my<\/strong><\/a> presented a poster<\/strong><\/a> that detail the changes of the new upgrade of the CAMS global real-time data assimilation and forecasting system that ECMWF will introduce on 12 May 2026<\/b>. It will have an impact on the <\/span>CAMS global atmospheric composition forecasts (COMPO) and on the CAMS global greenhouse gas forecasts (GHG) datasets.\u00a0The main updates include change in the assimilated observations, changes\u00a0to the aerosol and reactive gases modeling and updates to more recent versions of prescribed emissions. In addition, with the implementation of the IFS Cycle 50r1, a subset of model levels forecast fields is now available every hourly step.<\/p>\n<\/div><\/div><\/div><\/div>

<\/i>Go back<\/span><\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Discover HYGEOS’ works presented in the EGU 2026 General Assembly. <\/p>\n","protected":false},"author":2,"featured_media":3485,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19],"tags":[],"class_list":["post-4978","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-conference"],"yoast_head":"\nHYGEOS at EGU 2026<\/title>\n<meta name=\"description\" content=\"HYGEOS experts presented results obtained in preparation to the TRISHNA mission and achievements to support Copernicus Atmosphere Monitoring Service.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hygeos.com\/en\/hygeos-at-egu-2026\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HYGEOS 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