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  Marino Watershed: Landuse – classification level 2

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 2

 
Citation proposal
. Marino Watershed: Landuse – classification level 2. https://idg-tetis.teledetection.fr/geonetwork/srv/api/records/1aca752e-ad4b-4b50-9281-f79df08232b10
 

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  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 )
  • Land use
  • Land cover
  • Habitats and biotopes
GEMET - Concepts ( Theme )
  • agriculture
  • geographie
  • zones naturelles
  • paysages
  • ecosystemes
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
fra
Character set
UTF8
Topic category
  • Imagery base maps earth cover
  • Biota
OnLine resource
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gmd:MD_Metadata

File identifier
1aca752e-ad4b-4b50-9281-f79df08232b10   XML
Metadata language
fra
Character set
UTF8
Parent identifier
1aca752e-ad4b-4b50-9281-f79df08232b13
Hierarchy level
Dataset
Date stamp
2024-06-12T18:57:44
Metadata standard name
ISO 19115:2003/19139
 
 

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