Sen2agri system released

After 3 years of development, we are very happy to share the news of Sen2Agri system release. Sen2Agri system is a fully automatic production system to produce agriculture information from Sentinel-2 data, with a focus on food security applications. For this reason, the final user meeting was held in Rome at Food and Agriculture Organization and World Food Program. The Sen2Agri project was funded and managed by ESA, and developed by a consortium led by Université Catholique de Louvain, with CESBIO, CS France and CS-Romania.

A very attentive audience at the User Final Meeting, in the impressive World Food Programm conference room

The system manages the following operations :

  • Sentinel-2 and LANDSAT 8 data download,
  • L2A processing with MACCS/MAJA software (developed by CNES and CESBIO)
  • Monthly Synthesis product generation (with a method developed at CESBIO)
  • Generation of LAI products (based on a method developed at INRA, France, and updated, integrated to Orfeo Toolbox by CESBIO)
  • A Crop mask (issued several times per year), with two different methods :
    • without in situ data (method developed at UCL)
    • with in-situ data (method developed at CESBIO)
  • A crop type product (with a method developed at CESBIO, an early version of iota2 processor)

The scientific work behind the methods was described in a special issue of MDPI remote sensing.

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Theia distribue les premiers produits neige

Nous sommes heureux d'annoncer que Theia a mis en ligne 93 produits neige faits à partir de Sentinel-2. Ces produits correspondent à 6 tuiles qui couvrent une partie des Alpes, des Pyrénées et de l'Atlas pour une période comprise entre juillet et novembre 2016. La production opérationnelle devrait débuter cet automne (c'est-à-dire au fil de l'eau), et couvrira une surface plus grande. Nous essaierons aussi d'améliorer les produits grâce aux retours des utilisateurs.

Série temporelle de produits neige pour la tuile 30TYN (Pyrénées)

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Theia releases first batch of snow products

We are pleased to announce that Theia has put online 93 Sentinel-2 snow products, corresponding to 6 tiles in the Alps, Pyrenees, and Atlas mountains between July 2016 to November 2016. 300 more products should be available next week. The operational production should start in autumn 2017 (i.e. near real time), and will cover a larger area. We will also strive to improve the products based on the users feedbacks!

Time series of available products for tile 30TYN (Pyrenees)

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MUSCATE News : 20000 + 93

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THEIA passed two new milestones in this beginning of summer :

  • The number of Sentinel-2A Level2A products just passed the 20000 milestone, with the complete collection of French oversea regions, and new sites along the Ganges, Brahmaputra and Mekong rivers. These sites where chosen by a research team from the GET laboratory in Toulouse.

Data are available from https://theia.cnes.fr

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Nouvelles de MUSCATE : 20000 + 93

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Deux évènements à signaler pour le centre de traitement MUSCATE de Theia pour ce début d'été :

Les données sont disponibles sur https://theia.cnes.fr

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Muscate News

After having written rather bad news from MUSCATE for quite a long time, I am very happy to send good ones, and I have to restrain myself not to provide news every day. :)

Here is the number of L2A products we are producing every day. The visible enhanced performance is due to several reasons :

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15 000 !

Theia's Sentinel-2 L2A counter passed the 15 000 threshold on the 26th of May. The joined image shows the zones which are available so far.

 

 

 

Recently, two more sites have been added to THEIA's list of processed sites :

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Our first L2A images obtained with Sentinel-2B (and Sentinel-2A)

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The Sentinel-2B satellite was launched in March 2017, and joined his twin brother Sentinel-2A, which was orbiting since June 2015. Both satellites are now succeeding each other above our heads every 5 days. Sentinel-2 system mission is to monitor the evolution of the landscape and especially vegetation, with an observation every fifth day.

 

Very quickly, ESA managed to obtain Sentinel-2B observations over Europe very steadily, which is quite an achievement : congratulations to ESA ! CNES was greatly involved in assessing the image quality and in calibrating the sensor and has its own L1C processor (level 1C provides images registered to maps, expressed in reflectance at the top of Atmosphere).

 

By merging the time series take by Sentinel-2B and Sentinel 2A above a few sites, we managed to get dense time series of images over a few sites. To monitor a landscape, it is necessary to detect the clouds and their shadows, and to correct the variations of atmosphere transparency. This is the job of MAJA processor, which is developed jointly by CNES, CESBIO and DLR. Camille Desjardins, from CNES made it run over one of the sites..

 

So, here is the time series we obtained over a zone in Provence, France. The detected clouds are circled in green. If one ignores the clouds, which are well detected, the animation shows the slow evolution of the landscape as spring arrives. It is not possible to see a difference between the images provided by Sentinel-2B, and Sentinel-2A, which is in fact the aim of the Sentinel-2 mission. All the users will soon have access to high quality time series, with frequent observations, every five days in the absence of clouds !

 

The Muscate production center, at CNES, already distributes level 2A products  provided by MAJA software above selected regions, from Sentinel-2A data. As soon as Sentinel-2B is declared operational, its images will also be integrated in the processing.

Erratum to "Landslides in Kyrgyzstan captured by Sentinel-2"

In this post "Landslides in Kyrgyzstan captured by Sentinel-2" I showed two landslides that I identified as the Kurbu and Ayu landslides, both featured in the AGU landslide blog. However, as pointed out by Isakbek Torgoev, the Kurbu-Tash landslide is located about 5 km farther south than the one I found on the Sentinel-2 image of Apr 29. The actual Kurbu-Tash was not visible in this image due to cloud cover, but today I found a more recent image (May 19), where the Kurbu-Tash landslide is evident.. and it's even more massive! From this image I estimate that the runout distance of the Kurbu-Tash is about 7 km and not 3.5 km.
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