Stories help to bring data to life. Explore our rich collection of data stories on land and property rights, and share your own story on the Land Portal by signing up today.
Browse the most recent stories, drafted and published by the team at the Land Portal.
This Land Portal data story looks at the increase of maize production in and around Thailand, and its relation to a poultry value chain as an ingredient in animal feed.
This Land Portal data story explores the history of double dispossession in South Africa, from the colonial and apartheid era until contemporary times due to mining investments.
Indigenous Peoples and local communities have proven experience at maintaining and improving the carbon density of forest landscapes, often under dire and violent circumstances. Like much of the front line workers that have been so crucial in the current global climate, Indigenous Peoples and local communities are first responders in their own right, on the front lines of the fight to protect the planet’s remaining tropical forests.
Browse the most recent stories, drafted by the partners and colleagues within our network.
This is the story of how dozens of communities in Mozambique are mapping and documenting their own land rights. "A New Hope" is the winner of the Land Portal's Second Data Story Contest, and is authored by the team at Terra Firma Mozambique.
We meet Rosalía in a roadside café in a dusty town in the Quiché department, in Guatemala’s Western Highlands. She lowers her voice whenever people come in – you never know who might be listening. Land is sensitive stuff, especially in Quiché, a region that still bears, perhaps more than any other part of Guatemala, the scars of the civil war (1960-1996) – as we will see. In 2018 alone, 15 defenders of land rights in Guatemala have been killed with total impunity, several of them in Quiché.
This story was submitted as part of the Land Portal Data Stories Contest and was the recipient of the second prize.
This data story gives an overview of current land grabbing databases, their lack of spatial information and how remote sensing datasets can overcome this lack when being used to detect large scale agricultural production schemes.
