Code

Iota2 can also do regression

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 […]

29.01.2024

End-to-end learning for land cover classification using irregular and unaligned satellite image time series

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 […]

19.01.2024

Iota2 ne fait pas que de la classification, elle produit aussi des indicateurs environnementaux !

Contexte scientifique Le projet SOCCROP, qui a été financé par l’association Planet A, avait pour objectif de développer un indicateur pour quantifier les échanges annuels de CO2 entre les parcelles cultivées et l’atmosphère. Mesurer les flux permet d’accéder à l’évolution des stocks de carbone des sols agricoles. Cet indicateur peut être utile dans différents contextes […]

13.09.2023

Découvrir les structures cachées du paysage grâce au lidar

Le lidar est magique ! Cette technologie permet de mesurer très précisément l’altitude du sol y compris sous la végétation. Voici un exemple qui montre des sentiers cachés dans une forêt du Jura :   L’image en teintes de gris est un « hillshade » c’est-à-dire un ombrage du relief. Ce relief est issu du RGE ALTI […]

28.05.2023

Iota2 latest release – Deep Learning at the menu

‎ Table of Contents 1. New iota2 release 2. Classification using deep learning 2.1. Material 2.1.1. Satellite image time series 2.1.2. Preparation of the ground truth data 2.1.2.1. Sub data set 2.1.2.2. Clean the ground truth vector file 2.2. Configuration of iota2 2.2.1. Config and ressources files 2.2.2. Iteration over the different sub ground truth […]

16.09.2022

Formation iota2 pour les CES Theia

Ce mercredi 6 juillet, le CESBIO a accueilli les membres de différents CES Theia pour une formation au logiciel Iota². Ce logiciel open-source permet le traitement des séries temporelles issues des missions Sentinel. Cette formation a été organisée dans le cadre du projet CNES TOSCA PARCELLE qui  vise à soutenir le développement de Iota2. Quinze […]

08.07.2022

Snowmelt and snow sublimation in the Indus basin

The Indus basin has one of the largest irrigation system in the world. Available water resources are abstracted almost entirely, mostly for crop irrigation in Pakistan. The Indus basin is also considered as one of the large basins in Asia with the highest dependence on snowmelt runoff. The contribution of snow and ice melt to […]

27.09.2021

Towards a composite of the most recent clear-sky observations from the Theia Snow collection

We are thinking of a new « live » product which would allow anyone to display the most recent snow observations from Sentinel-2 in a web browser. This service would simply display a composite of the latest Theia Snow products over a given time window (e.g. the past 20 days). This can be easily coded thanks to […]

20.05.2020

Sentinel-2 also sees grassland taxonomic diversity !

Sentinel-2 image time series are widely used to map land cover, see for instance here or here. However, they can be used to extract other relevant information about the observed landscapes. In a recently published article (https://doi.org/10.1016/j.rse.2019.111536), we have used fifteen months of Sentinel optical and radar data to predict taxonomic and functional diversity at […]

20.12.2019

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