L'Unité Mixte de Recherche TETIS (AGROPARISTECH - CIRAD - CNRS - INRAE) met en œuvre une approche intégrée de la chaîne de l’information spatiale : acquisition et traitement de données spatialisées, analyse et modélisation spatio-temporelle des systèmes agro-environnementaux et territoriaux, conception et gestion de systèmes d’information, Text and Data Mining, TDM, Big data, conditions de l'utilisation de l’information spatiale par les acteurs territoriaux pour les politiques publiques.
The TETIS Joint Research Unit (AGROPARISTECH - CIRAD - CNRS - INRAE) implements an integrated approach to the spatial information chain : acquisition and processing of spatialized data, analysis and modelling spatio-temporal analysis and modelling of agricultural and territorial systems, design and management of information systems, Text and Data Mining, TDM, Big data, conditions for the use of spatial information by territorial actors for public policies.
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TIFF Image - 11,9 MB - MD5: 940fc99e2b1845c420acbe9b147cf387
Murehwa LULC map 2018 using Landsat Data
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Murehwa LULC map 2023 using Landsat Data
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README file
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Table showing F1 scores per class, overall accuracy and kappa coefficient of the random forest models of each year of interest.
Gzip Archive - 175,1 MB - MD5: a512a7d060334fb2996165f1cc96ce6f
Input data for Agri-STAMP model
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Simulation output for Guadeloupe Island, all active substances, 1972-2014
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Simulation output for Marie-Galante Island, all active substances, 1972-2014
19 déc. 2024 - Innovation lexicon
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