The SmartLandMaps Approach for Participatory Land Rights Mapping
Author:
Lindner Claudia12ORCID, Degbelo Auriol3ORCID, Vassányi Gergely1, Kundert Kaspar1, Schwering Angela1ORCID
Affiliation:
1. Institute for Geoinformatics, University of Münster, 48149 Munster, Germany 2. Kadaster, The Netherlands Cadastre, Land Registry and Mapping Agency, 7311 KZ Apeldoorn, The Netherlands 3. Chair of Geoinformatics, Technische Universität Dresden, 01069 Dresden, Germany
Abstract
Millions of formal and informal land rights are still undocumented worldwide and there is a need for scalable techniques to facilitate that documentation. In this context, sketch mapping based on printed high-resolution satellite or aerial imagery is being promoted as a fit-for-purpose land administration method and can be seen as a promising way to collect cadastral and land use information with the community in a rapid and cost-effective manner. The main disadvantage of paper-based mapping is the need for digitization to facilitate the integration with existing land administration information systems and the sustainable use of the data. Currently, this digitization is mostly done manually, which is time-consuming and error-prone. This article presents the SmartLandMaps approach to land rights mapping and digitization to address this gap. The recording involves the use of sketches during participatory mapping activities to delineate parcel boundaries, and the use of mobile phones to collect attribute information about spatial units and land rights holders. The digitization involves the use of photogrammetric techniques to derive a digital representation from the annotated paper maps, and the use of computer vision techniques to automate the extraction of parcel boundaries and stickers from raster maps. The approach was deployed in four scenarios across Africa, revealing its simplicity, versatility, efficiency, and cost-effectiveness. It can be regarded as a scalable alternative to traditional paper-based participatory land rights mapping.
Funder
European Social Fund
Subject
Nature and Landscape Conservation,Ecology,Global and Planetary Change
Reference62 articles.
1. Bennett, R., Oosterom, P.V., Lemmen, C., and Koeva, M. (2020). Remote sensing for land administration. Remote Sens., 12. 2. Koeva, M., Stöcker, C., Crommelinck, S., Ho, S., Chipofya, M., Sahib, J., Bennett, R., Zevenbergen, J., Vosselman, G., and Lemmen, C. (2020). Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping. Remote Sens., 12. 3. A procedure for semi-automated cadastral boundary feature extraction from high-resolution satellite imagery;Wassie;J. Spat. Sci.,2018 4. Stöcker, C., Ho, S., Nkerabigwi, P., Schmidt, C., Koeva, M., Bennett, R., and Zevenbergen, J. (2019). Unmanned Aerial System imagery, land data and user needs: A socio-technical assessment in Rwanda. Remote Sens., 11. 5. A bird’s eye view of my village – Developing participatory geospatial methodology for local level land use planning in the Southern Highlands of Tanzania;Eilola;Landsc. Urban Plan.,2019
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