Soil depth model
The soil depth model gives a very general picture of the power of the soil cover. The soil depth has been calculated by interpolation of known soil depth data, obtained, for example, through drilling. To support the interpolation between observation points, surface-covering soil type information has been used. Soil depth is of great importance in a variety of areas. Some examples are planning of different types of construction, infrastructure and groundwater protection. Such planning includes finding appropriate technical solutions and cost estimates depending on the depth of the soil. In many cases, you want to avoid large soil depths, for example, to avoid high costs associated with drilling. In other cases, large soil depths are an advantage, for example because the soil layers have a large storage capacity for groundwater. Furthermore, soil depth data together with information on soil type are important in hydrological modelling.
Trust score
How is this computed?Composite of 5 axes from our methodology (proof-based officialness, live verification, metadata completeness, license clarity, agent readiness).
- Officialnessweight 25%50/100
Not public-sector → neutral score; not subject to the proof checker.
- Availabilityweight 25%55/100
Verification has failed 0 consecutive times.
- Metadata completenessweight 20%50/100
5 of 10 recommended metadata fields populated.
- License clarityweight 15%50/100
License info not yet tracked for APIs (datasets only).
- Agent readinessweight 15%20/100
Spec format known (rest) · Topic tags assigned
Data access
This entry links to a dataset, file download, or documentation page rather than a self-describing API, so there's no field schema to display.
Verification Status
Using the API
Configuration
- Base URL
- https://api.sgu.se
- Format
- rest
Query examples
curl -s 'https://api.sgu.se' -H 'Accept: application/json'Base API endpoint — see the documentation for available routes.