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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

Simple

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

  • Land use
  • Land cover
  • Habitats and biotopes

GEMET - Concepts

  • agriculture
  • geographie
  • zones naturelles
  • paysages
  • ecosystemes

GCMD Keywords viewer

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

TETIS Thesaurus, version 1.0 21112019

  • Sol
Use limitation

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

Metadata language
fra
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 )
File identifier
1aca752e-ad4b-4b50-9281-f79df08232b12 XML
Metadata language
fra
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

 
 

Overviews

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Spatial extent

Keywords

GCMD Keywords viewer
75c312bc-79f9-4d74-a7c0-3c67c019196c
GEMET - Concepts
agriculture ecosystemes geographie paysages zones naturelles
GEMET - INSPIRE themes, version 1.0
Habitats and biotopes Land cover Land use
TETIS Thesaurus, version 1.0 21112019
Sol

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Associated resources

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