Soil Data Standards

When discussing soil data models confusion often arises as there are three different models to choose from (INSPIRE, ISO 28258, GloSIS). However, upon closer examination, it becomes clear that these models are very closely related. All three models utilize the Observations and Measurements standard for provision of soil data values. The minor differences between these three models pertain to the spatial features (features of interest) defined for representing parts of soils.

INSPIRE

The first of these data models is the INSPIRE Soil model, defined under the European INSPIRE Initiative. The main spatial features defined in this model are:

While the INSPIRE model formally specifies Observations only on the spatial features SoilSite, SoilProfile, ProfileElement and SoilDerivedObject, nothing hinders applying Observations to any feature type, so not only limited to the 4 types listed.

INSPIRE Soil INSPIRE Soil Spatial Feature Types

ISO 28258

ISO 28258:2013 - Soil quality — Digital exchange of soil-related data describes how to digitally exchange soil-related data. This model is a refinement of the INSPIRE model described above, also utilizing the Observations and Measurements standard for provision of soil data values. While relying on the same cascade of the spatial features Site, Plot, Profile and Profile Elements (Layers and Horizons) defined under INSPIRE, there are some subtle refinements. The derived types have been removed, replaced by soil mapping. Divergences from INSPIRE as follows:

grafik ISO 28258 Soil Mapping

GloSIS (FAO Global Soil Information System)

A decade ago, FAO constructed a UML model for sharing soil data as part of the Global Soil Information System (GloSIS) under the Global Soil Partnership. Unfortunately this model has not been openly published, but has been used by other initiatives to build implementations.

GloSIS is a further refinement of ISO 28258. Leaving the spatial features untouched, GloSIS focuses on defining Observable Properties for which soil data is to be provided, together with applicable Observing Procedures, detailing how these Observable Properties have been ascertained. It is often difficult to understand which Observable Properties apply to which spatial object when utilizing Observations and Measurements, as theoretically, any type of Observation can be applied to any spatial object. Under GloSIS, this was constrained through the use of helper classes that clearly tie Observable Properties to specific spatial features, as shown in the example of the Surface feature type in the diagram below.

grafik GloSIS Surface Helper Classes illustrating applicable Observations.

Under the SIEU-Soil Project, the GloSIS model was refined to an Ontology, GloSIS-ld, retaining all relations defined under the UML version.