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00-01: Innovative approaches to land data generation
Time:
Monday, 25/Mar/2019:
9:30am - 10:30am
Session Chair: Klaus Deininger, World Bank, United States of America
Location:Preston Auditorium
Presentations
Survey Solutions: An open source software to collect socio-economic and spatial data
Sergiy Radyakin, Michael Lokshin
World Bank, United States of America
.Survey Solutions is free software that aims at building capacity in developing countries by providing institutions involved in data collection with cost-effective, sustainable solution for conducting complex surveys and censuses. Survey Solutions combines powerful functionality for data capturing on tablets and web with tools for survey management and data aggregation. This technology reduces the time lag between data collection and data analysis, dramatically improves data quality and cuts survey costs. The ability to collect GIS information using high resolution images, register GPS coordinates and data obtained from sensors, and time stamps opens up possibilities of tackling new, policy relevant questions.
Survey Solutions is used by governments, NGOs, universities, and private companies in 147 countries.
Practical experience with mapping informal farms and houses in Zambia
Emmanuel Tembo3, Frank Kakungu2, Kelvin Chibangula3, Shadreck Mutti1
1World Bank, Zambia; 2Central Statistics Office, Zambia; 3MLNR, Zambia
Ministry of Lands & Natural Resources (MLNR) in Zambia has embarked on a National Land Titling Programme which is expected to run up 2021. However, MLNR and Ministry of Agriculture do not have accurate statistics on the number and sizes of farms due to number of reasons including; Duo land tenure system i.e. Leasehold and Customary; and lack of up-to-date Land information system. Since information on farms is critical in food security planning, and in order to provide accurate statistics on formal and informal large farms, the World Bank is supporting a program obtaining a full listing and perimeter mapping of all formal and informal large and medium-scale farms under the Zambia Integrated Forest Landscape Project (ZIFLP) context. Further, Under the country's regularisation of informal settlements, the Bank is also supporting the mapping of residential properties in Lusaka, Zambia. The presentation highlights our practical experiences in implementing the above exercises.
Combining drone imagery, street view, cadastral data and machine learning for urban development
Luis Triveno
World Bank, United States of America
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Data collaboratives: How data sharing can yield better insights
Holly Krambeck, Sarah Antos
World Bank, United States of America
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Building capacity to use drone imagery for land administration and management: Opportunities and challenges
