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Marino Watershed: Landuse – classification level 3
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 3
Simple
- Point of contact
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Organisation name Individual name Electronic mail address Role AgroParisTech
Vallet Ameline
Principal investigator UMR TÉTIS
Dupuy Stéphane
Principal investigator AgroParisTech
Verlynde matthieu
Principal investigator UMR TÉTIS
Gaetano Raffaele
Principal investigator
- Keywords
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Land use
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Machine learning
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Supervised classification
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Remote sensing
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GEMET - INSPIRE themes, version 1.0
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GEMET - Concepts
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GCMD Keywords viewer
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TETIS Thesaurus, version 1.0 21112019
- Use limitation
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
- Language
- fra
- Character set
- UTF8
- Topic category
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- Imagery base maps earth cover
- Biota
- OnLine resource
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Protocol Linkage Name WWW:LINK-1.0-http--link
https://doi.org/10.57745/DDP1ZR Access :
OGC:WMS
https://idg-tetis.teledetection.fr/geoserver/marino_watershed/wms Classification_2019_level3
Metadata
- File identifier
- 1aca752e-ad4b-4b50-9281-f79df08232b11 XML
- Metadata language
- fra
- Character set
- UTF8
- Parent identifier
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Marino Watershed: Landuse
1aca752e-ad4b-4b50-9281-f79df08232b13
- Hierarchy level
- Dataset
- Date stamp
- 2024-06-12T18:57:17
- Metadata standard name
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ISO 19115:2003/19139
Overviews
Spatial extent
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