In English
=> MUSCATE sentinel-2 L2A counter just reached 80000 products, but a lot more products were processed these past weeks. Indeed, the MUSCATE team started processing the early Sentinel-2B images acquired from July to October 2017, which were missing on our catalog. Indeed. We only started Level 2A treatments in October 2017, in real time (a […]
En Français
=> Le compteur de produits de Niveau 2A de Sentinel-2 de MUSCATE vient de franchir les 80000 produits, mais en fait, MUSCATE en a produit beaucoup plus. En effet, l’équipe d’exploitation (Joel, Raquel, Sylvie) a commencé à traiter les données de Sentinel-2B acquises de juillet à octobre 2017, qui manquaient dans notre catalogue. Nous n’avions […]
snow-ice
Theia just published the first Venµs images today, including a beautiful view of the Pyrenees. Once you have dezipped/untared/unzipped the files you can make a true color composite using the command:gdal_translate -b 7 -b 4 -b 3 -scale 0 300 0 255 -ot byte VE_VM01_VSC_PDTIMG_L1VALD_ES_LTERA_20180419.DBL.TIF myColorCompo.tifI tend to focus on the snow so I stretched […]
In English
Great news for our little Venµs satellite project: Theia has started distributing Venµs L1C data in near real time. The data acquired yesterday are already available on https://theia.cnes.fr These L1C products are tagged with 0.9 version, which means that their quality is not as good as what we think we will be able to deliver in […]
En Français
Le 1er avril est le moment privilégié par les hydrologues pour caractériser le potentiel hydrologique du manteau neigeux. Dans le cadre de l’OPCC [1] nous avons compilé différents indicateurs [2] :
In English
Update from May 4th 2018 : ESA has started planning for a global reprocessing in 2019 The information gathered by Sentinel-2 system on Sentinel-2 orbit, attitude, date accuracy, and viewing directions of all detectors allows an excellent accuracy for the geolocation of all Sentinel-2 pixels. The overall geo-location accuracy is better than 11 or 12 […]
In English
=> Thanks to our collaboration with DLR,, who developed the method [1], and with an ESA funding, we added within MAJA a correction for thin cirrus clouds that works for LANDSAT 8 and Sentinel-2. This correction uses the cirrus band at 1.38 µm, which allows to estimate cirrus reflectance, which is then subtracted from the […]
En Français
=>Grâce à notre collaboration avec le DLR, qui a mis au point la méthode [1], nous avons mis en place dans MAJA une correction des cirrus fins pour LANDSAT 8 et Sentinel-2. Cette correction utilise la bande cirrus située à 1.38 µm, qui permet d’estimer la réflectance des cirrus qui est ensuite soustraite des autres […]
Pre-processing (geometry, atmosphere, clouds)
A first set of 35 images (L1C) is available for download on the following CNES web site: https://theia.cnes.fr Venµs is now systematically acquiring data on all selected sites since January 2018, although a few acquisitions were missed from time to time for various technical reasons, which should become progressively less frequent. The commissioning phase of the […]