IT- tillämpningar inom vetenskap

ISO 19109 defines rules for creating and documenting application schemas, including principles for the definition of features. The scope of this International Standard includes the following: - conceptual modelling of features and their properties from a universe of discourse; - definition of application schemas; - use of the conceptual schema language for application schemas; - transition from the concepts in the conceptual model to the data types in the application schema; - integration of standardized schemas from other ISO geographic information standards with the application schema. The following are outside the scope: - choice of one particular conceptual schema language for application schemas; - definition of any particular application schema; - representation of feature types and their properties in a feature catalogue; - representation of metadata; - rules for mapping one application schema to another; - implementation of the application schema in a computer environment; - computer system and application software design; - programming.

ISO 19152 provides the concepts and detailed structure for standardization in the land administration domain. In order to achieve public policy objectives, some regulations use geographical spaces for mandating or enabling particular behaviours or outcomes. This part of ISO 19152 defines a general schema for spatial plan information in the context of the land administration. This standard proposes integrating the Rights, Restrictions, and Responsibilities (RRRs) information from the spatial plan information, as an additional package, into the ISO 19152:2012 – Geographic Information – Land Administration Domain Model (LADM) standard. It provides the general reference model, as an extension of core LADM (ISO 19152-1:202X and 19152-2:202X), for all objects of spatial planning those covering land/water and below/on/above surfaces. This standard supports 4D (3D + time) representation of the spatial plans including marine spatial plans. Spatial plan information plays an essential role in land management. The integration of physical and sectoral planning at the local level usually produces some degree of permissions, authorizations, restrictions, responsibilities, obligations, and sanctions. However, it is typical in many countries to establish land administration and the spatial plan processes through different regulations, authorities, and processes. Integrating spatial plans into a package in the LADM is essential to ensure that stakeholders have the complete picture of RRRs of land or space.

Vienna agreement ISO lead

Training data is the building block of machine learning models. These models now constitute the majority of machine learning applications in Earth science. Training data is used to train AI/ML models, and to then validate model results. Formalizing and documenting the training data by characterizing the training data content, metadata, data quality, and provenance, and so forth is essential. This document describes work actions around training data: — Documents the UML model with a target of maximizing the interoperability and usability of EO imagery training data; — Defines different AI/ML tasks and labels in earth observation in terms of supervised learning, including scene level, object level and pixel level tasks; — Describes the description of the permanent identifier, version, license, training data size, measurement or imagery used for annotation, and so on; — Defines the description of quality (e.g. training data errors, training data representativeness) and the provenance (e.g. agents who perform the labeling, labeling procedure).