1aca752e-ad4b-4b50-9281-f79df08232b9 1aca752e-ad4b-4b50-9281-f79df08232b13 2024-06-12T19:09:46 ISO 19115:2003/19139 Marino Watershed: Landuse – classification level 1 A very high spatial resolution Land Use and Land Cover map was produced for the greater Marino watershed (Peru) using the MORINGA processing chain. The methods involved multisource satellite imagery and a random forest model, as well as manual post-treatment. The final map provides important information for environmental management and monitoring and contributes to developing standardized methodologies for accurate LULC mapping. Classification 2019 – Level 1 Vallet Ameline AgroParisTech ameline.vallet@universite-paris-saclay.fr Dupuy Stéphane UMR TÉTIS stephane.dupuy@cirad.fr Verlynde matthieu AgroParisTech matthieu.verlynde@agroparistech.fr Gaetano Raffaele UMR TÉTIS raffaele.gaetano@cirad.fr https://gitlab.irstea.fr/umr-tetis/idg-tetis/idg-tetis-quicklooks/-/raw/main/img/marino_l1.png thumbnail image/png Land use Machine learning Supervised classification Remote sensing Land use Land cover Habitats and biotopes GEMET - INSPIRE themes, version 1.0 agriculture geographie zones naturelles paysages ecosystemes GEMET - Concepts 75c312bc-79f9-4d74-a7c0-3c67c019196c GCMD Keywords viewer Sol TETIS Thesaurus, version 1.0 21112019 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License imageryBaseMapsEarthCover biota https://doi.org/10.57745/DDP1ZR WWW:LINK-1.0-http--link Access :