Actions
  • shareshare
  • link
  • cite
  • add
add
auto_awesome_motion View all 4 versions
Research software . Software . 2021

S3 POPCORN with accuracy and spatial anomaly corrections v1.0.0

Lipponen, Antti; Reinvall, Jaakko; Väisänen, Arttu; Taskinen, Henri; Lähivaara, Timo; Sogacheva, Larisa; Kolmonen, Pekka; +3 Authors
Open Access
English
Published: 31 Aug 2021
Publisher: Zenodo
Abstract

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/

Subjects

satellite, aerosol, Sentinel-3, machine learning, correction

moresidebar