Africa

Land Matrix Regional Focal Point (RFP) in Africa, hosted by the University of Pretoria, covers the whole of the African continent, which is the most targeted region for large-scale land acquisitions (LSLAs) in the global south. The RFP engages with a number of organisations across the continent to disseminate information, support advocacy, and stimulate land debate.

Country profiles

Country profiles present national-level data of large-scale land acquisitions and transactions including who the investors are, what the aim of the investment is, who the former owner was and what the land was previously used for, and what the potential benefits and impacts of the land deals are.

By making this information available, the Land Matrix hopes to enhance broad engagement and data exchange, facilitating the continuous improvement of the data. Find out how to get involved here .

Download country profiles for:

Header for Country profile: Kenya
Country profile: Kenya

Of the total land area of Kenya, only around 10% is classified as arable land, with the 14 recorded concluded deals in the Land Matrix database equalling just 0.46% of the total land area. Although this is a relatively small land footprint, these deals may still have significant implications for …

Header for Country profile: Ghana
Country profile: Ghana

Since large-scale land acquisitions (LSLAs) cover less than 9% of Ghana’s 4.7 million hectares of arable land, it may not seem like they would have a significant impact on the country’s agricultural landscape. However, their impact in fact goes far beyond the land footprint only, through their use of water …

Header for Profil pays le Sénégal
Profil pays le Sénégal

Ce profil pays présente les données de la Land Matrix pour et comprend les acquisitions de terres à grande échelle le Sénégal.

News & publications

Header for Insight into large-scale LULC changes and their drivers through breakpoint characterization: An application to Senegal
Insight into large-scale LULC changes and their drivers through breakpoint characterization: An application to Senegal

As global land cover/ land use change (LULCC) threatens the human’s well-being, accurate detection and characterization of LULCC is of paramount importance. The increasing availability of dense satellite image time series (SITS), together with the ever-improving change detection algorithms, has allowed significant progress to be made. However, much remains to …

Header for Survey on large-scale land acquisitions in Senegal: Focus on agricultural jobs
Survey on large-scale land acquisitions in Senegal: Focus on agricultural jobs

Building on activities initiated with the Land Matrix with the financial support of GIGA, a pilot operation has been entrusted to ISRA-BAME. This initiative aims to consolidate existing data and deepen collection to identify and characterise large-scale land acquisitions (LSLAs) in Senegal. This approach aligns with GIGA's project, which seeks …

Header for Guinée/Problématique d’acquisitions foncières à grande échelle : lancement d’un processus de collecte de données pour l’identification des terres agricoles
Guinée/Problématique d’acquisitions foncières à grande échelle : lancement d’un processus de collecte de données pour l’identification des terres agricoles

L’ong ACORD-Guinée, en collaboration avec ses partenaires de l’Institut Sénégalais de Recherche Agricole (ISRA-BAME), a procédé à la présentation d’un outil de collecte de données pour l’identification et la caractérisation des Acquisitions de Terres à Grande Échelle (ATGE). La plateforme dénommée Land Matrix vise à identifier, à collecter et à …

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