LEGEND Land Policy Bulletin 7
This LEGEND bulletin considers the impact that new technology can have on documenting land rights and democratising access to land data around the world.
This LEGEND bulletin considers the impact that new technology can have on documenting land rights and democratising access to land data around the world.
Review of the advantages and disadvantages of the current Tanzania Tide Gauge (TG) vertical Datum (VD) has revealed that some of the problems cannot be solved to conform to the Satellite geodesy era timely and cost effectively. The current VD is costly and uneconomic. By changing to a Global Navigation Satellite Systems (GNSS) compatible VD, most of the problems of the current Tide Gauge-Vertical Datum (TG-VD will disappear and thus boost greatly economic and social prosperity.
The study tried to assess the state of data in India, particularly to track and report two critical land governance indicators viz. women land rights and forest rights, critical to ensure equity and sustainability in terms of public policy.
With UN’s SDG, defining similar indicators, study also attempts in aligning them around SDG indicators. Status of these two parameters were analyzed using nation-wide datasets collecting whole population data, through census of India, Agriculture Census operations following robust processes and reporting them open access.
This LEGEND bulletin explores the relationship between agribusiness and land rights. It features articles on the power of local engagement for financial investment, using technology for mapping rights, and catalysing private sector respect for community land rights.
This report summarizes the World Bank’s activities to support the Open Data efforts of developing countries during the period 2012 - 2017. It is largely descriptive, but Chapter 4 includes key analysis and lessons learned. The main objectives of this report are to share information within the World Bank and with its partners and client countries, and to preserve the institutional memory and highlight the lessons learned as a way to improve the development effectiveness of Open Data.
The GODAN Action online map of agri-food data standards is a deliverable of the GODAN Action project.
Ce profil pays présente les données de la Land Matrix pour République Démocratique du Congo et inclut les acquisitions de terres à grande échellequi:
• consistent en des transferts du droit d’exploitation ou de contrôle des terres au moyen bail ou de la concession;
• couvrent des surfaces de 200 hectares ou plus;
• ont été initiées depuis l’année 2000;
• impliquent une conversion potentielle des terres (souvent de pâturages extensifs et de services écosystémiques vers un usage agricole);
Data and information on land are fundamental for enabling smallholder farmers to gain secure access and control over their land, which provides the basis for investing in their operations.
This briefing paper outlines the importance and benefits of increasing the availability and accessibility of land information in support of improved food security and nutrition.
GODAN Action supports data users, producers and intermediaries to effectively engage with open data and maximise its potential for impact in the agriculture and nutrition sectors. In particular, we work to strengthen capacity, to promote common standards and best practice, and to improve how we measure impact.
GODAN Action supports data users, producers and intermediaries to effectively engage with open data and maximise its potential for impact in the agriculture and nutrition sectors. In particular, we work to strengthen capacity, to promote common standards and best practice, and to improve how we measure impact.
In 2015, forest area for Kenya was 44,130 sq. km. Forest area of Kenya increased from 40,238 sq. km in 1996 to 44,130 sq. km in 2015 growing at an average annual rate of 0.51 %.
This platform details the first results generated by our global disaster displacement risk model. It presents data on displacement risk associated with sudden-onset disasters. The main objective is to start presenting evidence on how to address internal displacement from a prospective point of view by assessing the likelihood of such population movements taking place in the future.