Metadata Catalogue
1st stage Data-driven Classifier
It is a Support Vector Machine, pixel-based, classifier trained for a multi-class problem.
It represents the Step 4 of the Ailanthus Workflow within the Internal Joint Initiative.
Default
- Date ( Creation)
- 2019-07-04
- Date ( Publication)
- 2021-04-02
- Status
- Under development / Pre operational
- Keywords
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modelling
- Keywords
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habitat mapping
- Keywords
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SVM
- Keywords
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classifier
- Keywords
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data-driven
- Keywords
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supervised classification
- Keywords
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Ailanthus
- Keywords
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IJI
- Access constraints
- License
- Use limitation
-
The final license will be available soon
- Operation name
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Stack_4dates_L5_30m.tiff
- Description
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It is a multi-layer file containing the four multi-season images each one with its 6 bands. File format: raster geotiff.
- Function
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Input file
- Operation name
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Training_multiclass_singleshape_FAO.shp
- Description
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It represents the reference data for the training of the supervised multi-class data-driven classifier. There is a file for each class in the scene labelled according to FAO-LCCS taxonomy. A numeric code is associated to each FAO_LCCS label. File format: shapefile.
- Function
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Input file
- Operation name
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Test_multiclass_singleshape_FAO.shp
- Description
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It represents the reference data for the validation of the output map obtained from the supervised multi-class data-driven classifier. There is a file for each class in the scene labelled according to FAO-LCCS taxonomy. A numeric code is associated to each FAO_LCCS label. File format: shapefile.
- Function
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Input file
- Operation name
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ConfigurationParameter_SVMmulticlass.txt
- Description
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Parameters to be setted for the training of the SVM classifier: Kernel function; Regularization parameter; penalty parameter. File format: text file.
- Function
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Input file
- Operation name
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LC_map_numeric_multiclass_30m.tiff
- Description
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It represents the output multi-class land cover map obtained from the SVM classifier at 30 meters spatial resolution. It is a multi-class map with a numeric code associated to each different class. File format: raster geotiff.
- Function
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Output file
- Operation name
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FAO-numeric_multiclass.txt
- Description
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Look-up table to identify the correspondence between numeric and FAO-LCCS codes. File format: text file.
- Function
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Output file
- Operation name
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ConfMatr_multiclass.txt
- Description
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Confusion matrix related to the validation dataset. File format: text file.
- Function
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Output file
- Operation name
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Accuracy_Estimators_multiclass.txt
- Description
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Accuracy measures as Overall Accuracy; User's Accuracy; Producer's Accuracy; F1-score. File format: text file.
- Function
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Output file
- Topic Category
- Land cover
- Service Category
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data classification
- Service Language
- eng
- Service TRL
- TRL 9 – Actual system proven in operational environment
Metadata
- File identifier
- 9e7a1532-7f39-417f-be8b-94ea4cd3a884 XML
- Metadata language
- en
- Hierarchy level
- Service
- Metadata Schema Version
-
1.0
