Marino Watershed: Training dataset

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.

Training Dataset

Principal investigator

AgroParisTech - Vallet Ameline

Principal investigator

UMR TÉTIS - Dupuy Stéphane

Principal investigator

AgroParisTech - Verlynde matthieu

Principal investigator

UMR TÉTIS - Gaetano Raffaele

Keywords

Land use
Machine learning
Supervised classification
Remote sensing

GEMET - INSPIRE themes, version 1.0 ( Theme )

GEMET - Concepts ( Theme )

GCMD Keywords viewer ( Theme )

75c312bc-79f9-4d74-a7c0-3c67c019196c

TETIS Thesaurus, version 1.0 21112019 ( Theme )

Sol

Use limitation: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

Metadata language: FR

Character set: UTF8

Topic category

Imagery base maps earth cover
Biota

OnLine resource: Access : ( WWW:LINK-1.0-http--link )

OnLine resource: Training_database_2019 ( OGC:WMS-1.3.0-http-get-map )
Training_database_2019

gmd:MD_Metadata

File identifier: 1aca752e-ad4b-4b50-9281-f79df08232b12 XML

Metadata language: FR

Character set: UTF8

Parent identifier: Marino Watershed: Landuse 1aca752e-ad4b-4b50-9281-f79df08232b13

Hierarchy level: Dataset

Date stamp: 2024-06-12T19:07:24

Metadata standard name: ISO 19115:2003/19139

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