Analyzing and formalising land indicators of LGAF, GLII and SDGs through LADM

Over the past fifteen years, LGAF, GLII, and SDGs frameworks have jointly shaped acomplementary global land governance monitoring system. However, challenges remain indata fragmentation and standardised indicator computation. This study explores how ISO19152 LADM provides a unified technical foundation to model and monitor global landindicators. It develops a standardised conceptual model with UML-based implementation andproposes a modular indicator computation architecture based on interface classes andreusable logic components. The proposed approach supports scalable reporting, enhancesindicator operationalisation, and bridges the gap between global policy frameworks andpractical land administration systems at the national level.

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Publication Details

Journal
Survey Review
Published
2025-08-20
DOI
https://doi.org/10.1080/00396265.2025.2544400
Citations
1
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
1.01
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article

Analyzing and formalising land indicators of LGAF, GLII and SDGs through LADM

Abdullah Kara, C. Lemmen, Peter van Oosterom, John Gitau et al.
1 citations
Survey Review
3D Modeling in Geospatial Applications
1.01
article

Analyzing and formalising land indicators of LGAF, GLII and SDGs through LADM

Abdullah Kara, C. Lemmen, Peter van Oosterom, John Gitau, Mengying Chen, Regina Orvañanos Murguía
article en
1 citations

Abstract

Over the past fifteen years, LGAF, GLII, and SDGs frameworks have jointly shaped acomplementary global land governance monitoring system. However, challenges remain indata fragmentation and standardised indicator computation. This study explores how ISO19152 LADM provides a unified technical foundation to model and monitor global landindicators. It develops a standardised conceptual model with UML-based implementation andproposes a modular indicator computation architecture based on interface classes andreusable logic components. The proposed approach supports scalable reporting, enhancesindicator operationalisation, and bridges the gap between global policy frameworks andpractical land administration systems at the national level.

Survey ReviewVol. 57(405)
Gebze Technical University (TR), United Nations Human Settlements Programme (KE), University of Twente (NL), Delft University of Technology (NL)
Openalex Percentile: Top 21%
3D Modeling in Geospatial Applications
1.01
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Analyzing and formalising land indicators of LGAF, GLII and SDGs through LADM — Abdullah Kara, C. Lemmen, et al. · Survey Review (2025) | TGRS Research Map | TGRS