SPOT5 (Take5) reprocessed L2A data are online

=>The SPOT5 (Take5) project just released a new version of all SPOT5 (Take5) L2A data to account for several small issues encountered during the first processing :

  • for two very bright desert sites (Libya, Tunisia), one cloud threshold was too low, and large parts of the desert were classified as clouds. The threshold has been changed specifically for these two sites.
  • the level 2A of Northern sites with a persistent snow cover were not issued in the first version. It has been solved, but as it is not possible to estimate aerosols above snow, they have been processed with a default Aerosol Optical Thickness value, as long as they are fully covered by snow.
  • the shadows below large clouds were often not detected. The shadow detection method has been completely reworked resulting in largely enhanced cloud shadow masks.
  • the Aerosol Optical Thickness images were a little too noisy, and the spatial smoothing of the values has been increased.
  • one site had been omitted because of a problem of DTM, which had been unnoticed (our processor is a prototype) :  BrailaCasasuRomania
  • one site (DevonUK) had a poor geometry because of a bad reference image. The reference image has been changed and the Level1C and level 2A have been reprocessed
  • The older version has been removed from the distribution site and replaced by the newer version. The reprocessed data are available here :
  • https://spot-take5.org
  •  In order to avoid confusion between the older and newer version, you may check that the following HTML tag contains 2016 instead of 2015.
  • <DATE_PROD>2016-xx-xx</DATE_PROD>

 

Plus d'actualités

Évolution du jour de déneigement dans les Alpes françaises et les Pyrénées

Les socio-écosystèmes des Alpes et des Pyrénées dépendent étroitement des fluctuations annuelles du manteau neigeux. En particulier, le moment de l’année où la neige disparait détermine le début de la saison de croissance de la végétation de montagne et donc la période des estives. Le changement climatique est en train de bouleverser ce rythme saisonnier. […]

BIOMASS, the third launched satellite mission designed at CESBIO !

After SMOS in 2009, and VENµS in 2017, the CESBIO laboratory is very proud to see its third proposed mission, Biomass, reach orbit. As always, it has been a long journey from the idea, at the beginning of the century, to the selection in 2013 as the seventh Earth Explorer Mission by ESA, to the […]

Biophysical parameter retrieval from Sentinel-2 images using physics-driven deep learning for PROSAIL inversion

The results presented here are based on published work: Y. Zérah, S. Valero, and J. Inglada. « Physics-constrained deep learning for biophysical parameter retrieval from sentinel-2 images: Inversion of the prosail model« , in Remote Sensing of Environment, doi: 10.1016/j.rse.2024.114309. This work is part of the PhD of Yoël Zérah, supervised by Jordi Inglada and Silvia Valero. […]

Rechercher