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
Simple
- Point of contact
-
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
-
-
Land use
-
Machine learning
-
Supervised classification
-
Remote sensing
-
-
GEMET - INSPIRE themes, version 1.0
-
GEMET - Concepts
-
GCMD Keywords viewer
-
TETIS Thesaurus, version 1.0 21112019
- Use limitation
-
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
- Language
- fra
- Character set
- UTF8
- Topic category
-
- Imagery base maps earth cover
- Biota
- OnLine resource
-
Protocol Linkage Name WWW:LINK-1.0-http--link
https://doi.org/10.57745/DDP1ZR Access :
Metadata
- File identifier
- 1aca752e-ad4b-4b50-9281-f79df08232b9 XML
- Metadata language
- fra
- Character set
- UTF8
- Parent identifier
-
Marino Watershed: Landuse
1aca752e-ad4b-4b50-9281-f79df08232b13
- Hierarchy level
- Dataset
- Date stamp
- 2024-06-12T19:09:46
- Metadata standard name
-
ISO 19115:2003/19139