Wijnand (‘Wine’) Durk Langeraar is a Dutch national based in the Netherlands, with more than three decades of international professional experience in mapping and modeling using GIS and GPS, remote sensing, spatial analysis - serving a wide range of disciplines. Wine has worked in Africa, the Middle East, Southeast Asia, Central Asia, Pacific Islands, and Europe. He is fluent in a good number of languages.
Dedicated to delivering state-of-the-art mapping and modeling services using GIS, GPS, remote sensing and spatial analysis; providing geospatial expertise to a wide range of clients and disciplines, ranging from modeling of renewable energy scenarios, to land and land use policy and management, to 3D terrain modeling, to census mapping, to rapid appraisals and random sampling survey design and implementation, to health database development, to disaster management, to environmental and resource modeling, and providing training.
GIS & GPS
Modeling of renewable energy scenarios
Land and land use policy and management
3D terrain modeling
Rapid appraisals and implementation
Health database development
Wijnand Durk Langeraar (‘Wine’) specializes in mapping and modeling with GIS, GPS, remote sensing, and spatial analysis, and is dedicated to implementing this to a wide range of clients and disciplines ranging from urban planning and mapping, to land cover and infrastructure satellite image interpretation and mapping, to modeling of renewable energy scenarios, to land and land use policy and management, to 3D terrain modeling, to GPS-GIS integration, to census mapping and management, to health database development, to disaster management, to environmental and resource modeling, and more.
Recently, Wine has developed a methodology to quantify detailed precipitation during the last 20 years for areas anywhere in the world. Annual, monthly, daily, down to half-hourly rainfall episodes are assessed with a ground resolution of one-tenth of a degree. He is doing this by accessing data derived from NASA’s remarkable Global Precipitation Measurement (GPM) mission. GPM produces worldwide precipitation assessments. By combining maximum rainfall with catchment areas, potential maximum stream flow events can be calculated for road crossings, necessary for robust culvert and bridge designs.
As census mapping manager in Timor-Leste he pioneered and implemented a technique of putting all of the country’s households on the map with GPS during the 2004 Population and Household Census, and subsequently linking the census database with the household locations. This turned out to be a triumph, and a first world-wide (he was interviewed by CNN as a result). It provided the Government with powerful tools for development. Patterns emerge otherwise never noticed, and correlations and causalities become apparent and can be acted upon with surgical precision, thus saving the Government time and lots of money. A number of countries in Africa, Middle East, South East Asia and Pacific have subsequently asked Wine to implement his GPS for Census technique.
He is interested in designing and conducting random sampling surveys applying GIS, satellite remote sensing, and GPS techniques. This bundle of technologies can be utilized not only for rapid appraisals (Forestry, land use etc) but also for sample surveys that must be independent, such as census post-enumeration surveys to quantify omissions and erroneous enumerations, and Living Standards Measurement Studies (LSMS). End 2013 Wine, with Juan Muñoz of Sistemas Integrales in Chile, formulated a revolutionary GIS-based random sampling method for household surveys which is census-independent and politically neutral. This study was sponsored by The World Bank.
Early 2013, Wine developed a novel technique of putting together downloaded Google Earth imagery into seamless and precision geo-referenced mosaics that can be used in a GIS straight away. High-resolution imagery is expensive, and this technique provides a low-cost and very effective alternative.
In 2010 Wine developed a spectacular moving map display technique in the course of a TA project for the Asian Development Bank related to renewable energy in Central Asian countries. These 4-D animated maps show the spatial extent evolution of Net Present Value scenarios for solar and wind power plants with varying electricity tariffs. An enormous amount of information is compressed in these moving map displays. The information is allowing the Bank to make exceedingly informed decisions on exactly where to invest in renewable energy power plants.
In early 2019 Wine has advised the rehabilitation of the Highlands Highway in Papua New Guinea. He analysed catchments upstream of points where highway crosses streams and rivers, and performed average monthly stream flow calculations, and produced maps of population density and distribution, yr 2022 population prognosis, elevation, slope, land cover/land use, earth sciences, and generated other spatial information relevant to road design and rehabilitation..
Apart from the technical aspects of his work, Wine has also provided ample strategic advice to a number of countries. In East Timor and Myanmar he formulated a national spatial data infrastructure. In Mongolia, Iraqi Kurdistan, East Timor, Fiji among other, he formulated strategies for line agencies on how to meaningfully incorporate ICT in their work process. Recently, while working at ADB HQ in Manila he made suggestions on how ADB could integrate ICT and other technologies in its operations and for the development of its client member countries.
At present Wine is involved as geospatial data leader in a project dealing with reducing deforestation through improved spatial planning in the two Papua provinces of Indonesia.
Wine has almost four decades of professional experience in SE Asia, Middle East, Pacific, Central Asia, Europe, and Africa. He is fluent in a good number of languages.
LAND EQUITY INTERNATIONAL Suite 12, 74 Kembla St WOLLONGONG NSW 2500 PO Box 798 WOLLONGONG NSW 2520 Australia (Client: DFID / UK Government - Papua provinces Indonesia)
RENARDET S.A., rue Rothschild No. 50, Genève, Switzerland. (Client: Department of Works, Goroka, Papua New Guinea. ADB LOAN 3547, 3548, AND GRANT 0538-PNG - Sustainable Highlands Highway Investment Program)
EMPLOYER: Self-employed - Volunteer services
LAND EQUITY INTERNATIONAL Suite 12, 74 Kembla St WOLLONGONG NSW 2500 PO Box 798 WOLLONGONG NSW 2520 Australia (client: USA Millennium Challenge Account – Indonesia, Jalan Menteng Raya kav. 21, Jakarta Pusat)
EMPLOYER: Oxford Policy Management Limited, 6 St Aldates Courtyard, 38 St Aldates, Oxford, OX1 1 BN ("OPM"), UK. (Client: National Bureau of Statistics, Indonesia/World Bank)
EMPLOYER: Asian Development Bank, Manila, Philippines. (Client: Urban Development and Water Division, CWRD - Central and West Asia Department). Based in Lahore, Pakistan, and work from home
EMPLOYER: URS AUSTRALIA PTY LTD registered office 4/407 Pacific Highway, Artarmon, Australia 2064 (“URS”). (Client: SIMFER S.A. Address: Immeuble Bellevue, Boulevard de Bellevue DI 536 BP 848 Conakry, Republic of Guinea – RIO TINTO SIMANDOU PROJECT- Plan d’Action de Réinstallation et de Compensation). Worked mainly from home
EMPLOYER: Asian Development Bank, Manila, Philippines. (Client: ADB Natural Resources & Agriculture Division, Central and West Asia Department). Works from home and at ADB HQ Manila
EMPLOYER: Experience International, Inc. 239/2 Lumpini 1 Building, Suite 42, 4th Floor, Sarasin Road, Lumpini, Pathumwan. Bangkok 10330, Thailand. (Client: Government of Iraq – USAID)
EMPLOYER: Sistemas Integrales José Miguel de la Barra 412 - Casilla 13168 - Santiago, Chile
POSITON & DUTIES: Research and Development - Preparing GIS-based sampling frame for probability proportional to population sample drawing, Preparing all GIS data for mapping of sampling units, Writing technical note
Major subjects: (1) Sedimentology (Thesis: Palaeo-environment of an Eocene Sedimentary Basin, Pyrenees, Spain), (2) Mining Politics and Mining Law (Thesis: The Oil Politics of Libya)
Online course Python scripting for ArcGIS for Desktop ver. 10
Web-enabled GIS (GeoSamba) training, NGIS
Advanced ESRI ArcGIS training, NGIS
Project Management course, MDF
Arabic speaking and writing, at FAO, Rome
Aerial Photo Interpretation Applied to Soil Survey (with emphasis on remote sensing), International Institute for Aerospace Survey and Earth Sciences (ITC)
In the last months of 2013, Juan Muñoz of Sistemas Integrales in Chile, and I have jointly formulated a novel and very effective technique for random household sampling based for a major part on LandScan population data. Here is the link to LandScan:
The study has been possible thanks to financial assistance from the Development Research Group of The World Bank.
Why did Juan and I feel that a new sampling method was urgently needed? The old way of random sampling is critically dependent on reliable and accessible census databases and census cartography. National statistical agencies are the sole source of such data in many countries, which can make the data hard to get hold of. Even when available, census databases are often unreliable and almost always outdated.
In the report we propose an alternative strategy, intended to delivering a sample of households with well-defined probabilities, on the basis of Geographic Information System (GIS) techniques, Global Positioning System (GPS) technology, high-resolution satellite imagery (Google Earth Pro), and additional information sources other than censuses, in particular the LandScan population database. This method of sampling is politically neutral
The developed technique was formulated using Myanmar LandScan population data, but the technique can be employed anywhere, as an independent low-cost, swift and very accurate household sampling strategy: an eminently suitable alternative way to draw a sample if census results are not available in time.
The reason the technique was developed for Myanmar was because there was an initial plan to implement it there early 2014. This has now been postponed until later this year.
Download the whole story HERE
Holland at present