Géosciences Environnement Toulouse

Le GET est un laboratoire de recherche fondamentale et appliquée de plus de 165 permanents (environ 250 personnes avec les étudiants, post-doctorants, personnels sous contrat à durée déterminée, etc.). Il est membre de l’Observatoire Midi-Pyrénées. Ses domaines de compétences sont ceux des Géosciences et des Sciences de l’Environnement bâtis autour de personnels affiliés à 5 tutelles différentes (CNRS, IRD, Université Toulouse III/CNAP et CNES).

Le laboratoire est fortement interdisciplinaire ; ses collaborateurs interagissent au sein d'un continuum des sciences de l’environnement aux géosciences :
  • Évolution et dynamique de la Terre
  • Observation spatiale et in situ de la Terre
  • Géoressources Contaminants Sociétés
  • Interactions fluide-roche-vivant
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Jan 22, 2025 - Data collected as part of M-TROPICS - UMR GET
Ribolzi, Olivier; Xayyathip, Khampaseuth; Christian, Valentin; Soulileuth, Bounsamay; Robain, Henri; De Rouw, Anneke; Sounyafong, Phabvilay; Silvera, Norbert; Janeau, Jean-Louis, 2025, "Rainfall, surface runoff, soil erosion, soil physical properties and soil surface features in teak tree plantations, Houay Pano catchment, Northern Lao PDR (2001-2019)", https://doi.org/10.23708/4GTSHN, DataSuds, V1, UNF:6:wW10OqQ/F5hS3d62pR3cug== [fileUNF]
This dataset has been collected thanks to the long-term partnership with Department of Agricultural Land Management (DALaM), Lao PDR, which granted the permission for field access, and to the financial, scientific, technical, and/or logistical support of the Multiscale TROPIcal C...
May 21, 2024
Xavier, Rodrigo; Fleischmann, Ayan; Gosset, Marielle; Maciel, Tarcísio; Do Nascimento, Leandro; Ramalho, Emiliano; Bicudo, Thiago, 2023, "Measuring Amazon rainfall intensity with sound recorders: data and code", https://doi.org/10.23708/I0QYNM, DataSuds, V2, UNF:6:cXAvk8vWVI++coJPWKSnaA== [fileUNF]
Many regions still lack a network of ground weather observations, hampering effective climate monitoring and disaster management. In the Amazon basin, this occurs due to its remoteness and the challenging measurement of rainfall within the forest. Innovative rainfall estimation m...
Tabular Data - 15.9 MB - 517 Variables, 3027 Observations - UNF:6:am6cSO1jVKdN5mqReymvHA==
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