Biomass
After SMOS in 2009, and VENµS in 2017, the CESBIO Laboratory is very proud to see its third proposed mission, Biomass, reach orbit. As always, it has been a long journey from the idea, at the beginning of the century, to the selection in 2013 as the seventh Earth Explorer Mission by ESA, to the […]
Sentinel-2
Sentinel-2 captured several clear-sky images of Myanmar before and after the 28 March 2025 earthquake. The animation below shows a 5-day apart sequence of images captured by Sentinel-2B and Sentinel-2C (10 m resolution) near the epicenter located close to Mandalay. The surface slip due to the earthquake follows the Sagaing Fault, a major fault in […]
CESBIO
=> In arid or semi-arid regions, where irrigation is widespread, monitoring agricultural water resources is essential to anticipate shortages. These resources may come from large dams, small reservoirs, or groundwater aquifers. This is the case in the state of Telangana, in South India, where numerous large dams (shown in cyan blue in the figure below) […]
CO3D
=> Dans les régions arides ou semi-arides, où l’irrigation est généralisée, le suivi de la ressource en eau agricole est primordial pour anticiper les pénuries. Cette ressource peut-être l’eau de grands barrages, de petits réservoirs ou provenant de l’aquifère. C’est le cas de l’état du Télangana, en Inde du Sud, où de nombreux grands barrages […]
Landsat
Pour contribuer à caractériser les conditions hydrométéorologiques lors de la crue torrentielle qui a frappé la Bérarde en juin, j’ai analysé une nouvelle série de cartes d’enneigement qui couvre la période 1984-2024 [1]. Grâce à la profondeur temporelle de cette série, on constate que l’altitude de la ligne de neige dans le bassin versant du […]
Datascience
The results presented here are based on published work: Y. Zérah, S. Valero, and J. Inglada. « Physics-constrained deep learning for biophysical parameter retrieval from sentinel-2 images: Inversion of the prosail model« , in Remote Sensing of Environment, doi: 10.1016/j.rse.2024.114309. This work is part of the PhD of Yoël Zérah, supervised by Jordi Inglada and Silvia Valero. […]
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