Title
SDG Land Administration Indicators based on ISO 19152 LADM
Author
Chen, Mengying (Student TU Delft)
van Oosterom, P.J.M. (TU Delft Digital Technologies)
Kalogianni, E. (TU Delft Digital Technologies)
Dijkstra, Paula (Kadaster)
Contributor
van Oosterom, Peter (editor)
Paasch, Jesper M. (editor)
Date
2023
Abstract
The Sustainable Development Goals (SDGs), comprising of 17 Global Goals, serve as a global framework for addressing various facets of sustainable development. Several of these goals emphasize the crucial role of land management and equitable land distribution in achieving sustainable development objectives. ISO 19152, known as the Land Administration Domain Model (LADM), plays a pivotal role in land administration systems globally. It provides a standardized framework for land management, including land tenure, marine georegulation, valuation, and spatial plan information. This paper explores the integration of land administration indicators within the ISO 19152 standard, aligning them with the United Nations Agenda 2030 SDGs. The process involves a systematic approach to selecting and developing these indicators. In the indicator selection phase, firstly, we establish the foundational lexicon linked to LADM then extract lexemes from SDGs indicators, analyze their semantic relationships, and evaluate their alignment with LADM; secondly, we meticulously evaluated chosen indicators by analyzing their SDG indicator metadata, focusing on the “Method of Computation" section to align these indicators with LADM's basic classes; thirdly, categorizing them based on their association with LADM. This categorization ranges from indicators with no direct correlation to those with full computational interdependence, specifically, they are: Non-Association (Category 0), Full Computational Association (Category 1), Partial Computational Association (Category 2), Indirect Association (Category 3), Association with Other International Standards (Category 4). Following indicator selection, our approach to indicator development is summarized. This entails expressing information from UN SDG "Method of Computation" documents in UML class diagrams, adding operation names and parameters to the most relevant class, and specifying implementation methods for each operation. An in-depth analysis of SDG Indicator 1.4.2 demonstrates the feasibility of deriving indicators entirely from LADM data. Finally, the paper discusses potential future work, including the integration of semantic networks and ontologies for keyword extraction, further exploration of Category 1 Indicators, and practical implementation through case studies, data collection, indicator testing, validation, and reflection.
Subject
ISO 19152 LADM
SDGs
Land administration indicators
To reference this document use:
http://resolver.tudelft.nl/uuid:d07c975c-969e-4c46-be9a-4239a56dad38
DOI
https://doi.org/10.4233/uuid:aa432673-6150-4665-aae9-eb708cfc8a86
Publisher
International Federation of Surveyors (FIG)
ISBN
978-87-93914-08-7
Source
11th International FIG Workshop on the Land Administration Domain Model & 3D Land Administration (LADM2023)
Event
11th International FIG Workshop on LADM & 3D LA, 2023-10-11 → 2023-10-13, http://www.gdmc.nl/3DCadastres/workshop2023/, Gävle, Sweden
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2023 Mengying Chen, P.J.M. van Oosterom, E. Kalogianni, Paula Dijkstra