Available Algorithms
These are the parameters needed to create a dataset for each available algorithm.
Altitude
Calculates altitude of a given area.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Altitude" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["LIDAR-DTM", "LIDAR-DSM", "DTM", "DSM"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| resolution |
integer |
Desired resolution of the base image |
N/A |
False |
| model_type |
string |
Digital Terrain Model type |
dsm, dtm |
False |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Aspect
Calculates where a surface is heading (North, East, South, West).
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Aspect" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["LIDAR-DTM", "LIDAR-DSM", "DTM", "DSM"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| resolution |
integer |
Desired resolution of the base image |
N/A |
False |
| model_type |
string |
Digital Terrain Model type |
dsm, dtm |
False |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Building Footprints" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
"Cadastral" |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| minimum_segment_size |
string |
Minimum area that the detected elements must have |
N/A |
False |
Buildings Identification
Detects buildings in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
string |
"Buildings Identification" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
string |
"Imageryst" |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
Burned areas
Calculates burned spaces in the area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Burned areas" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
"Sentinel-2" |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| start_date |
string |
Start date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| end_date |
string |
End date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| cloud_percentage |
integer |
Maximum cloud cover allowed in the image |
[0 - 100] |
If no id_image given |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Contour Lines
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Contour Lines" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["LIDAR-DTM", "LIDAR-DSM", "DTM", "DSM"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| resolution |
integer |
Desired resolution of the base image |
N/A |
False |
| spatial_scale |
float |
Distance between the ground lines |
[0.5 - 5.0] |
False |
| model_type |
string |
Digital Terrain Model type |
dsm, dtm |
False |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Earthworks Monitoring
Classifies the terrain in four different classes: Moderate Vegetation, Vigorous Vegetation, Artificial or Bare Soil.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Earthworks Monitoring" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| start_date |
string |
Start date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| end_date |
string |
End date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| cloud_percentage |
integer |
Maximum cloud cover allowed in the image |
[0 - 100] |
If no id_image given |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
High Tension Towers
Detects High Tension Towers in the given area of interest
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"High Tension Towers" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Humidity
Classifies the terrain in seven different classes: Vegetation, Humid vegetation, Urban Areas or very humid vegetation, Built-up areas, Flooded areas, Water bodies or Deep water.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Humidity" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| start_date |
string |
Start date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| end_date |
string |
End date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| cloud_percentage |
integer |
Maximum cloud cover allowed in the image |
[0 - 100] |
If no id_image given |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Individual Trees
Detects individual trees in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Individual Trees" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Medium Tension Towers
Detects Medium Tension Towers in the given area of interest
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Medium Tension Towers" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Piles
Detects piles in the given area of interest
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Piles" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Power Line Supports
Detects power line supports in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Power Line Supports" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
"Imageryst" |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
Power Lines
Detects poower lines in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Power Lines" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
"Imageryst" |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
Powerblocks
Detects powerblocks in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Powerblocks" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Radiation
Calculates radiation of a given area in kW/h m2.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Radiation" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["LIDAR-DTM", "LIDAR-DSM", "DTM", "DSM"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| resolution |
integer |
Desired resolution of the base image |
N/A |
False |
| model_type |
string |
Digital Terrain Model type |
dsm, dtm |
False |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Roads
Detects roads in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Roads" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Slope (Pitch)
Calculates slope of a given area, in degrees.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Slope (Pitch)" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["LIDAR-DTM", "LIDAR-DSM", "DTM", "DSM"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| resolution |
integer |
Desired resolution of the base image |
N/A |
False |
| model_type |
string |
Digital Terrain Model type |
dsm, dtm |
False |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Solar Panels Plants
Detects solar panels of a energy plant on the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Solar Panels Plants" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Solar Trackers Plants
Detects solar trackers of an energy plant in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Solar Trackers Plants" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Substations
Detects substations in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
string |
"Substations" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
string |
"Imageryst" |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
Vegetation health
Classifies the terrain in seven different classes: Artificial coverage or water, Bare soil or diseased vegetation, Sparse or not very vigorous vegetation, Moderate vegetation, Abundant or vigorous vegetation, Very dense and vigorous vegetation, Exceptionally healthy or extremely dense vegetation.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Vegetation health" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| start_date |
string |
Start date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| end_date |
string |
End date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| cloud_percentage |
integer |
Maximum cloud cover allowed in the image |
[0 - 100] |
If no id_image given |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Vehicles
Detects vehicles in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Vehicles" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Water bodies
Classifies the terrain in three different classes: Flooded areas, Water bodies or Deep water
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Water bodies" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| start_date |
string |
Start date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| end_date |
string |
End date from which to search for an available image. Format YYYYmmdd |
N/A |
If no id_image given |
| cloud_percentage |
integer |
Maximum cloud cover allowed in the image |
[0 - 100] |
If no id_image given |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |
Wind Turbines
Detects wind turbines in the given area of interest.
Configurable Parameters
| Parameter Name |
Type |
Available values |
| id_project |
integer |
N/A |
| id_phase |
integer |
N/A |
| name_asset |
string |
"Parcels" |
| name_attribute |
integer |
"Wind Turbines" |
| input_alg_parameters |
dict |
See below |
| basemap_name |
integer |
["PlanetScope", "Sentinel-2", "PNOA", "Google"] |
| Parameter Name |
Type |
Description |
Available values |
Required |
| mask |
dict |
Area of interest where algorithm should be executed, in geojson format |
N/A |
True |
| id_image |
integer |
Id of the custom user image to use |
N/A |
False |