Iota2 is constantly evolving, as you can check at the gitlab repository. Bugs fix, documentation updates and dependency version upgrade are done regularly. Also, new features are introduced such as the support of Landsat 8 & 9 images, including thermal images, or for what concerns us in this post, the support of regression models. In […]
The results presented here are based on published work : V. Bellet, M. Fauvel, J. Inglada and J. Michel, « End-to-end Learning For Land Cover Classification Using Irregular And Unaligned SITS By Combining Attention-Based Interpolation With Sparse Variational Gaussian Processes, » in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2023.3343921. This […]
=> Update the 8th of January, 2024 : A new change in the interface from the Copernicus Dataspace on January the 2nd, implemented without prior notice, has caused a new interruption of our downloads, and the real time processing at THEIA, at a moment when no one was available to change things on the our […]
=> Les résultats présentés ici sont issus des travaux publiés dans l’article: F. Mouret, D. Morin, H. Martin, M. Planells and C. Vincent-Barbaroux, « Toward an Operational Monitoring of Oak Dieback With Multispectral Satellite Time Series: A Case Study in Centre-Val De Loire Region of France, » in IEEE Journal of Selected Topics in Applied Earth Observations […]
=> The results presented here are based on work published in the journal paper: F. Mouret, D. Morin, H. Martin, M. Planells and C. Vincent-Barbaroux, « Toward an Operational Monitoring of Oak Dieback With Multispectral Satellite Time Series: A Case Study in Centre-Val De Loire Region of France, » in IEEE Journal of Selected Topics in Applied […]
The iconic Khumbu Glacier in Nepal is fed by several tributaries, such as this branch in the Lingtren–Khumbutse catchment. Recently a new Pléiades triplet covering the Khumbu region was added into the DINAMIS repository (acquisition date 22 Oct 2023). There is another triplet in the same area acquired on 11 Mar 2016 hence we can […]
=> À mesure que la résolution de nos missions satellitaires s’améliore, le volume de données des produits de sortie augmente, et la part des coûts de calcul et de stockage de ces produits augmente également. Supposons que vous prépariez une nouvelle mission satellite, par exemple une mission de type Sentinel, dans l’espoir d’une utilisation potentielle […]
=> As the resolution of our satellite missions improve, the data volume of output products increases, and the share of the computing and storage costs of its products increases too. Let’s assume we are preparing a new satellite mission, for instance a Sentinel-like mission, with the hope of potential use by operational or private users, […]
In a previous post, we showed that spatio-temporal fusion methods would enable to obtain hybrid data with the revisit of the S2-NG mission (3 to 5 days), and the resolution of the Sentinel-HR mission (2 m), with an uncertainty better than the atmospheric correction errors (better than 0.01 in reflectance). In this section, we tested […]