Cost effective data collection tools for agriculture statistics
1. Cost effective tools for data
collection
Michael Rahija, Statistician, FAO
Lars Gunnar Markland, Forestry Officer, FAO
Veronica Boero, Regional Statistician, FAO
FAO-OEA/CIE-IICA working group on agricultural and livestock statistics
for Latin America and the Caribbean
Quito, Ecuador, 24 - 26 October 2017
2. TABLE OF CONTENTS
• Rationale
• Cost effective tools for data collection
• Computer Assisted Personal Interviewing
Tools
• Administrative Registers
• Geospatial Tools
3. RATIONALE
• 232 SDG indicators
• Sustainable Development Solutions Network
(SDSN) estimates the cost at 1 billion USD for
monitoring only a subset of core indicators in 77
LIC countries.
• As of 2015, the gap between donor and national
contributions was between 100 and 200 million.
• FAO is the custodial agency for 21 SDG
indicators, and bares a responsibility to
strengthen national capacity.
4. COMPUTER ASSISTED PERSONAL INTERVIEWING
Barriers to adoption
1) the initial investment related to the acquisition of the
necessary equipment and technology;
2) Limited know-how of an ever changing landscape of
tools
6. COMPUTER ASSISTED PERSONAL INTERVIEWING
General CAPI Tools
• Global Strategy supported
Survey Solutions.
• Addresses shortcomings of
other software suites.
• Less training, more features,
and continuous
improvements.
• Used in more than 100
countries for around 500
surveys.
7. COMPUTER ASSISTED PERSONAL INTERVIEWING
The use of CAPI implies a large change of the
survey/census operation processes
• All validation and monitoring processes have to be in
place and tested before going to the field
• Validation processes are different to those using PAPI
• Data processing is done at the same time as the field
work
• Supervision structures are different
8. COMPUTER ASSISTED PERSONAL INTERVIEWING
Capacity Development Efforts
• Global Strategy to Improve Agricultural and Rural Statistics in
LAC under the IaDB project
• Regional workshop in Aguascalientes, México November 2016
• Pilot agricultural integrated survey in Dominican Republic 2017-18.
• Discussion group http://www.estadisticasagroalc.org/grupos/uso-de-
dispositivos-electronicos-para-captura-y-procesamiento-de-datos/
• Global Strategy to Improve Agricultural and Rural Statistics
• 10 Module E-learning course available at www.gsars.org.
• World Bank Surveys and Methods Team
• Various workshops throughout the world on household surveys.
• https://support.mysurvey.solutions
9. ADMINISTRATIVE REGISTERS
The role of the Administrative Registers in Agricultural
Statistics are:
• Provide timely and reliable data
• Fill agricultural data gaps
• Facilitate monitoring of global commitments with the Agenda2030. COP21, etc.
• Allow disaggregation of estimates at lower levels
• Strengthen the Agricultural Statistical System and the National Statistical System
Capacity Development Efforts
Global Strategy to Improve Agricultural and Rural Statistics in LAC
under the IaDB project
• Regional workshop in Asuncion, Paraguay in September 2017
• Discussion group (new) http://www.estadisticasagroalc.org/grupos/uso-
de-registros-administrativos-para-fines-estadisticos/
10. GEOSPATIAL TOOLS
• Using GPS for geo-
referencing farms for
improved navigation,
sampling, and
integration with other
data sources.
11. GEOSPATIAL TOOLS
Using GPS as time-
saving and objective
area measurement
method in Mexico.
Using GPS in area
frames
Ecuador area frame
stratification
agricultural survey
Ecuador segmentation
area frame, geometric
limits
12. GEOSPATIAL TOOLS
Capacity Development Efforts
• Global Strategy to Improve Agricultural and Rural Statistics in
LAC under the IaDB project
• Regional workshop on Using satellite images in Agricultural Statistics in
2018
• Multiple frames sampling (web/in person) May-July 2017
• Discussion group Use of satellite images to build land use maps and
area frames http://www.estadisticasagroalc.org/grupos/uso-de-
imagenes-satelitales-para-construir-mapas-de-uso-del-suelo-
construccion-de-marcos-de-area-y-preparacion-de-material-
cartografico-de-campo/
• Discussion group Multiple frame sampling
http://www.estadisticasagroalc.org/grupos/muestreo-con-marcos-
multiples/
13. GEOSPATIAL TOOLS
Remote Sensing
• Land cover mapping and
monitoring
• Designing Sampling
Frames (Area Frame)
• Classification and
mapping
• Estimation and
Forecasting
www.gsars.org
14. GEOSPATIAL TOOLS
FAO New tools for data collection and reporting
• SEPAL
• Open Foris Toolbox and Collect Earth
15. AFCAS25, Entebbe, Uganda 13-17 Nov 2017
www.fao.org/forestry
SEPAL
System for Earth Observation Data Access, Processing and Analysis for
Land Monitoring
Objectives
Improve data access and delivery of (pre)processed satellite data and
forest information products to enable developing countries to build the
autonomous capacity to monitor their forest-related REDD+ activities
GEOSPATIAL TOOLS - SEPAL
16. What is SEPAL?
• SEPAL is an open source cloud-based platform for land
monitoring
• Easy query, access and processing of satellite data
• Expandable with user scripts
• A ‘barrier buster’: Analysis Ready Data, Supercomputing
power, Maintenance and Dependencies
GEOSPATIAL TOOLS - SEPAL
17. What can be done with SEPAL?
• Create composites / mosaics of Landsat and Sentinel
• Process RADAR data
• Classification and change detection
• Image segmentation
• Time-series analysis
• Sample-based area estimation
• Compliant with GFOI Methods and Guidance
GEOSPATIAL TOOLS - SEPAL
18. How can SEPAL assist in monitoring the SDGs?
• Can be used by countries to obtain better data for
15.1.1 and 15.2.1
• Can be used for any other indicators that use satellite
imagery, as it includes much more image processing
capabilities than Collect Earth which is a visual
interpretation tool
GEOSPATIAL TOOLS - SEPAL
22. How can Collect Earth assist in monitoring the SDGs?
• Can be used to calculate indicator 15.4.1 and some
sub-indicators of 2.4.1
• Can be used for any other indicators that can be
derived from visual interpretation of high resolution
satellite imagery
GEOSPATIAL TOOLS – COLLECT EARTH
25. Collect Earth
an open tool for augmented visual interpretation
Spatial dimension
Temporal dimension
Combining Very High spatial and temporal resolution data
GEOSPATIAL TOOLS – COLLECT EARTH
26. PANEL QUESTIONS
• What emerging tools to reduce the cost of data
collection has your country implemented or is
thinking of implementing?
• What are the main challenges in implementing
these tools and how FAO can help countries to
adopt them?
27. FOR MORE INFORMATION, PLEASE CONTACT:
MICHAELAUSTIN.RAHIJA@FAO.ORG (CAPI)
VALERIE.BIZIER@FAO.ORG (RS HANDBOOK)
LARSGUNNAR.MARKLUND@FAO.ORG (OPENFORIS, SEPAL)
VERONICA.BOERO@FAO.ORG (REGIONAL STATISTICIAN)
27
Editor's Notes
In this context, FAO has developed its own products and incorporated the latest cost-effective technologies into its recommendations and practices. In recent years, particular advancements have been in the areas of computer assisted personal interviewing (CAPI), geospatial technologies, and developing modules for specific SDG monitoring. This ppt will highlight specific tools recommended by FAO to lower cost, and empower countries to high quality SDG data.
This is in contrast to the paper and pen interviewing (PAPI) in which the enumerator records responses on paper which then must be manually entered into a software prior to analysis. This small discrepancy in method has a major impact on the overall cost of survey implementation.
Results show that electronic equipment costs more than offset the costs of data entry, and paper questionnaire costs (Rahija 2016). This is consistent with other studies showing that reduction or elimination of costs such as double-data entry, paper storage, and printing makes CAPI a cost effective alternative to PAPI (Zhang, et al 2012; King, et. al 2013, Leisher 2014).
Due to the availability of low cost tablet and GPS devices, using geo-referencing in large scale farm surveys is now realistic. In addition to advanced geo-spatial analysis of agricultural variables, geo-referencing provides opportunities to improve field logistics and sampling frames. In Survey Solutions CAPI software, geo-references can be taken by the tablet marking the exact location of the farm, parcel, etc. In Figure 2 below, there is simulated data which shows geo-referenced holding integrated with the boundaries of an enumeration area (EA).
It can be seen from Figure 2 that some holding listed in EA 003B are outside the EA boundary. These should be removed prior to sampling. Furthermore, the georeferenced sampled holdings can be loaded into the enumerator’s GPS devices to help reduce travel time, and ensure that the correct holding is enumerated.
According to World Bank research, Rope and Compass took on average 4 times longer than GPS.
The SEPAL tool can be used by countries to obtain better data for 15.1.1 and 15.2.1 as well as for any other indicators that use satellite imagery, as it includes much more image processing capabilities than Collect Earth which is a visual interpretation tool.
Tool for visual interpretation of very high resolution satellite images available in Google Earth, Bing maps and other sources
Highly configurable sample based tool. Layout of sample plots over the landscape / country / globe. Configurable size and data entry cards
The Collect Earth tool is being directly used for 15.4.2, but could potientially be used for any indicator that could be derived from visual interpretation of high resolution satellite imagery.