Image quality

Sentinel-2 Enhance button: 5-meters resolution for 10 bands at your fingertips

Enhance button is a very common movies trope, where a character scrolls through some video footage or photos and asks a computer to enhance its resolution to an insane level of details, enabling solving crime mysteries and conspiracies of all sort with clues that were invisible in the original image. While this meme has been […]

25.04.2024

Borgefjell Nationalpark

Quel est l’angle solaire zénithal maximum dans les produits Sentinel-2 ?

Pour certaines applications il est utile de connaître l’angle solaire au moment de l’acquisition d’un produit Sentinel-2. Par exemple pour notre chaine de détection de la neige LIS nous avons besoin de pré-calculer les ombres créées par le relief à partir d’un MNT. Cela nous permet d’améliorer la détection de la neige dans les zones […]

28.02.2024

An update on the use of CAMS 48r1

As announced in a previous post, the aerosol definition of the new 48r1 release of the CAMS auxiliary data has changed as compared to the former 47r1. At that time, we recommended to disable the use of CAMS data with MAJA before we adapt the code. Meanwhile, we have also tested the actual impact on […]

20.07.2023

A new article on the validation of MAJA’s Sentinel-2 surface reflectances

Whether you are a user of the atmospheric correction processor MAJA or THEIA’s Sentinel-2 Level 2 products, you will probably be interested to read our new article on the validation of MAJA Sentinel-2 surface reflectances. The article is published in open access in Remote Sensing : Colin, J.; Hagolle, O.; Landier, L.; Coustance, S.; Kettig, […]

22.05.2023

SEN2VENµS, un jeu de données pour l’entraînement d’algorithmes de super-résolution pour Sentinel-2

=> Nous sommes heureux d’annoncer la publication de SEN2VENµS, un dataset pour l’entraînement d’algorithmes de super-résolution pour Sentinel-2 ! Julien Michel, Juan Vinasco-Salinas, Jordi Inglada, & Olivier Hagolle. (2022). SEN2VENµS, a dataset for the training of Sentinel-2 super-resolution algorithms (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6514159 Une description détaillée du jeu de donnée a été publié sous la […]

17.05.2022

SEN2VENμS, a dataset for the training of Sentinel-2 super-resolution algorithms

=>  We are happy to announce the publication of SEN2VENµS, a dataset for the training of Sentinel-2 super-resolution algorithms ! Julien Michel, Juan Vinasco-Salinas, Jordi Inglada, & Olivier Hagolle. (2022). SEN2VENµS, a dataset for the training of Sentinel-2 super-resolution algorithms (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6514159 A detailed description of the dataset has been published as a […]

Premiers retours sur le nouveau traitement géométrique Sentinel2

=> Si vous travaillez avec des produits Sentinel2, vous avez probablement entendu dire que le nouveau traitement géométrique de l’ESA est actif depuis le 1er avril 2021. Ce nouveau traitement se base sur l’affinage des paramètres de prise de vue par rapport à un ensemble d’images de reference (Global Reference Image, GRI), et doit diminuer l’erreur […]

05.05.2021

A first peek at new Sentinel2 geometric processing

=> If you are working with Sentinel2 products, you probably heard that ESA new geometric processing is active since 1st of April 2021. This new processing, based on the geometric refinement of viewing parameters with respect to a Global Reference Image (GRI), should bring absolute location error from 11 meters (95.5% of products) to better […]

Venµs’ moon

=>Well, the audience of our blog is still steady increasing, there is no need to use explicit titles to get more connexions. And although I mainly use space to look down, I do not think the planet has a natural satellite. So why this title ?The Venµs satellite actually showed us the moon, and not […]

08.10.2017

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