1st stage Splitter
The service, starting from a multi-class shapefile containing the land cover classes in the scene, expressed in FAO-LCCS taxonomy, aims to generate a series of shapefiles, one for each different class. A numeric code is also associated to each class.
The algorithm uses as input training and test data used to obtain the multi-class land cover mapping of the scene by a supervised, pixel-based classification.
Within the Ailanthus workflow of the Internal Joint Intiative, it represents the step 1 and 2 of the first stage (where a multi-class problem is considered).
Default
Identification
- Date ( Creation )
- 2019-07-04
- Date ( Publication )
- 2021-04-02
- Status
- Under development / Pre operational
- Version
- 1.0
- Keywords
- Splitting file
- Keywords
- divide file
- Keywords
- one-to-many files
- Keywords
- FAO-to-numeric
- Keywords
- Ailanthus
- Keywords
- IJI
- Keywords
- data processing
- Access constraints
- License
- Use limitation
- The final license will be available soon
- Protocol
- DOI
- Operation name
- Training_multiclass_FAO.shp
- Description
- In the first step this service takes the training data.
- Function
- Input file
- Operation name
- Test_multiclass_FAO.shp
- Description
- In the second step it takes the test data.
- Function
- Input file
- Operation name
- Training_multiclass_singleshape_FAO.shp
- Description
- In the first step this service takes the training data.
- Function
- Output file
- Operation name
- Test_multiclass_singleshape_FAO.shp
- Description
- In the second step it takes the test data.
- Function
- Output file
- Topic Category
- Land cover
- Service Category
- data processing
- Service Language
- eng
- Service TRL
- TRL 9 – Actual system proven in operational environment