ITS4LAND

TimelineFrom February 2016 to 31 January 2020
ThemeGeospatial Artificial Intelligence (GeoAI)
CountriesEthiopia, Kenya, Rwanda
Funded byEU – Horizon 2020
More infohttps://its4land.com/

In most Western countries land rights are recorded in a land registry. Property has a verifiable owner and a mapped boundary. Usually this kind of information forms the basis for taxation as a form of income for national governments. However, in a lot of countries this is not so obvious and land tenure is not maintained. This causes a lot of disputes, land grabbing, slum formation and miss-use of land resources. The goal of its4land is to develop tools to make the mapping of land rights faster, cheaper, easier and more responsible. They are inspired by the continuum of land rights, fit-for-purpose land administration, and cadastral intelligence. Ultimately this must lead to an end-user oriented land administration system. Therefore, emergent geospatial and Earth observations technologies, including smart sketch maps, Unmanned aerial vehicles (UAVs), automated feature extraction, and Geocloud services are used.

The overriding philosophy of this project is that it transcends single disciplines, country approaches or national boundaries. In this project development means co-designing, adapting, integrating, demonstrating and validating. The project seeks to enable tool combinations that are both end-user and market responsive.

The its4land project is carried out by eight consortium partners from Europe and East Africa combining academia and private sector. African partners are Ethiopia (Bahir Dar University), Kenya (Technical University of Kenya) and Rwanda (INES Ruhengeri; ESRI Rwanda). European partners are the Netherlands (ITC), Germany (University of Muenster; Hansa Luftbild) and  Belgium (KU Leuven).

Contact persons

dr. M.N. Koeva
Project leader
Global impact
Geospatial Artificial Intelligence (GeoAI)

Geospatial information provides the spatial and temporal context that enables AI to generate location-aware insights for real-world applications. GeoAI enables accurate spatial analyses, predictive modelling, and a more responsible use of AI supported by transdisciplinary collaborations. These elements generate impactful, location-based insights for global challenges such as disaster management, urban planning, food security, and environmental monitoring. Our GeoAI know-how helps to strengthen the AI abilities of institutions so that we can create impactful insights for a better future.

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