Title: Estimating the global distribution of field size using crowdsourcing
Authors: LESIV MYROSLAVALASO BAYAS JUAN CARLOSSEE LINDADUERAUER MARTINADAHLIA DOMIANDURANDO NEALHAZARIKA RUBULSAHARIAH PARAG KUMARVAKOLYUK MAR'YANABLYSHCHYK VOLODYMYRBILOUS ANDRIIPEREZ HOYOS ANAGENGLER SARAHPRESTELE REINHARDBILOUS SVITLANAAKHTAR IBRAR UL HASSANSINGHA KULESWARCHOUDHURY SOCHIN BOROCHETRI TILOKMALEK ZIGABUNGNAMEI KHANSEMBOUSAIKIA ANUPSAHARIAH DHRUBAJYOTINARZARY WILLIAMDANYLO OHLASTURN TOBIASKARNER MATHIASMCCALLUM IANSCHEPASCHENKO DMITRYMOLTCHANOVA ELENAFRAISL DILEKMOORTHY INIANFRITZ STEFFEN
Citation: GLOBAL CHANGE BIOLOGY p. 1-13
Publisher: WILEY-BLACKWELL
Publication Year: 2019
JRC N°: JRC114269
ISSN: 1354-1013 (online)
URI: https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.14492
http://publications.jrc.ec.europa.eu/repository/handle/JRC114269
DOI: 10.1111/gcb.14492
Type: Articles in periodicals and books
Abstract: There is an increasing evidence that smallholder farms contribute substantially tofood production globally, yet spatially explicit data on agricultural field sizes are cur-rently lacking. Automated field size delineation using remote sensing or the estima-tion of average farm size at subnational level using census data are two approachesthat have been used. However, both have limitations, for example, automatic field size delineation using remote sensing has not yet been implemented at a globalscale while the spatial resolution is very coarse when using census data. This paperdemonstrates a unique approach to quantifying and mapping agricultural field sizeglobally using crowdsourcing. A campaign was run in June 2017, where participantswere asked to visually interpret very high resolution satellite imagery from GoogleMaps and Bing using the Geo‐Wiki application. During the campaign, participantscollected field size data for 130 K unique locations around the globe. Using thissample, we have produced the most accurate global field size map to date and esti-mated the percentage of different field sizes, ranging from very small to very large,in agricultural areas at global, continental, and national levels. The results show thatsmallholder farms occupy up to 40% of agricultural areas globally, which means that,potentially, there are many more smallholder farms in comparison with the two dif-ferent current global estimates of 12% and 24%. The global field size map and thecrowdsourced data set are openly available and can be used for integrated assess-ment modeling, comparative studies of agricultural dynamics across different con-texts, for training and validation of remote sensing field size delineation, andpotential contributions to the Sustainable Development Goal of Ending hunger,achieve food security and improved nutrition and promote sustainable agriculturre.
JRC Directorate:Sustainable Resources

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