The iota2 Land cover processor has processed some Sentinel-2 data

=> You already heard about iota2 processor, and you must know that it can process LANDSAT 8 time series et deliver land cover maps for whole countries. These las days, Arthur Vincent completed the code that allows processing Sentinel-2 time series. Even if atmospherically corrected Sentinel-2 data are not yet available above the whole France, we used  the demonstration products delivered by Theia to test our processor. Everything seems to work fine, and the 10 m resolution of Sentinel-2 seems to allow seeing much more details. The joined images show two extracts near Avignon, in Provence, which show the differences between Landsat 8 and Sentinel-2. Please just look only at the detail level, and not at the differences in terms of classes. Both maps were produces using different time periods, and a period limited to winter and beginning of spring for Sentinel-2, and the learning database is also different. Please don,’t draw conclusions too fast about the thematic quality of the maps. First extract shows a natural vegetation zone, with some farmland (top LANDSAT8, bottom Sentinel-2)

coudoux.png

The second extract shows the Rhone, Durance rivers, and the town of Avignon. You have probably noticed that the bridges can be seen, while they could not be classified in LANDSAT 8 data. And as there is a very famous French song about Avignon bridge (Sur le pont d’Avignon, on y danse on y danse), we know Sentinel-2 is right. 

avignon.png

 Using 10m resolution data, together with 12 spectral bands sharply increases computation time, compared to LANDSAT 8. But thankfully, we have also optimized a part of the processing (computing the input features), which uses now a specific OTB application. The new application is much faster and reduces the amount of internal data. As usual, the new version of iota2 processor, with these improvements can be downloaded here

Plus d'actualités

Near real time snow cover maps in the Copernicus Browser!

Copernicus provides near real time snow cover maps at 20 m resolution (fractional snow cover, code name: FSC OG). These products have been recently reprocessed and are now available through the Copernicus Data Space Ecosystem (CDSE) API and visualization tool, the Copernicus Browser! The latter is very useful to explore the data, for example if […]

Suivi du manteau neigeux dans les parcs naturels des Alpes franco-italiennes

Dans les Alpes, le manteau neigeux est un stock d’eau saisonnier naturel dont dépendent la faune, la flore et les humains pour de multiples usages (refuges, bétail, etc.). Dans le cadre du projet ACLIMO financé par le programme européen Interreg ALCOTRA, le Cesbio a été sollicité pour mettre en oeuvre un outil d’estimation de l’équivalent […]

The missing link to valorize CESBIO’s applicative research works

=>  My colleagues at CESBIO are extremely creative! Over the past ten years, they have developed a wide range of new products and methods for extracting information from Copernicus data. They don’t just develop and validate the method on a few sites; they continue their work until they have produced data for the whole of […]

Rechercher