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July 05, 2021

ESA Φ-lab participates to ISPRS 2021 and IGARSS 2021

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The International Society for Photogrammetry and Remote Sensing Congress, or ISPRS, and the International Geoscience and Remote Sensing Symposium, or IGARSS, are two of the main annual rendez-vous events for the entire Earth observation community. This year the ESA Φ-lab has a significant  contribution to these events, taking part to sessions and scientific tracks and publishing several papers in both events.

The ISPRS Congress will be held virtually from 5 to 9 July.

The ESA Earth observation Programmes Directorate will be present with an online stand, a technology track titled “The ESA Earth Observation Platforms to leverage Open Science and Pioneer Innovative Applications” and two scientific tracks that will feature Φ-lab Research Fellows and Visiting Researchers:

  • Monday 5 July, 10:00 – 10:50, Jamila Mifdal and Nicolas Longépé will be amongst the speakers in th session titled “Thematic Information Extraction” (MO.3.2:#620)
  • Tuesday 6 July, 11:00 – 11:50, Dario Spiller will be amongst the speakers in the session titled “Hyperspectral Image Processing and Data Fusion” (TU.4.3: #539)

For more information: https://www.isprs2020-nice.com/programme/2021Digital_Program_06012021.pdf

The IGARSS event will be held from 12 to 16 July, also virtually.

The Directorate will be present with an online stand and some sessions, including one co-chaired by two ESA Φ-lab members, Nicolas Longépé and Bertrand Le Saux, titled “Physics-aware AI4EO and Simulation” on Friday 16 July, 14:40 – 16:10.

Ana Raquel Carmo and Nicolas Longépé will present their paper on “Deep Learning Approach For Tropical Cyclones Classification Based On C-Band Sentinel-1 Sar Images” on Friday 16 July, 8:30 – 8: 45, whereas other Φ-lab researchers, including James Wheeler, Dario Spiller and Alessandro Sebastianelli, also have successfully submitted accepted papers.

For more information: https://igarss2021.com/technical_program.php


Header image: Extreme weather events monitoring with AI4EO: tropical cyclone detection and categorization using deep neural networks. ©Raquel Carmo


To know more: ESA Φ-lab, ISPRS 2021, IGARSS 2021