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The following results are related to Rural Digital Europe. Are you interested to view more results? Visit OpenAIRE - Explore.
2 Research products, page 1 of 1

  • Rural Digital Europe
  • Research software
  • 2018-2022
  • Academy of Finland
  • FI
  • ZENODO

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  • Open Access English
    Authors: 
    Lipponen, Antti; Reinvall, Jaakko; Väisänen, Arttu; Taskinen, Henri; Lähivaara, Timo; Sogacheva, Larisa; Kolmonen, Pekka; Lehtinen, Kari; Arola, Antti; Kolehmainen, Ville;
    Publisher: Zenodo
    Project: AKA | Centre of Excellence of I... (336791), AKA | Seismic full-waveform inv... (321761), AKA | Centre of Excellence of I... (336791), AKA | Seismic full-waveform inv... (321761)

    POPCORN Sentinel-3 Synergy aerosol parameter post-process correction. This version carries out both accuracy and spatial anomaly corrections. Release version 1.0.0. This release consists of a Python script and trained deep learning models to post-process correct the Sentinel-3 Synergy (SY_2_SYN) aerosol data products. Developed by: Finnish Meteorological Institute and University of Eastern Finland Development of the algorithm was funded by the European Space Agency EO science for society programme via POPCORN project. Contact info: Antti Lipponen (antti.lipponen@fmi.fi) Github repository: https://github.com/TUT-ISI/S3POPCORN/

  • Open Access English
    Authors: 
    Lipponen, Antti;
    Publisher: Zenodo
    Project: AKA | Centre of Excellence in I... (250215), AKA | Centre of Excellence in I... (250215)

    Source code, data, and documentation to test the Bayesian Aerosol Retrieval algorithm for aerosol retrieval over land. The code is related to the article: Lipponen, A., Mielonen, T., Pitkänen, M. R. A., Levy, R. C., Sawyer, V. R., Romakkaniemi, S., Kolehmainen, V., and Arola, A.: Bayesian Aerosol Retrieval Algorithm for MODIS AOD retrieval over land, Atmos. Meas. Tech., https://doi.org/10.5194/amt-2017-359, accepted, 2018. The most recent version of the codes can be found at https://github.com/TUT-ISI/BARalgorithm