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Estimating the global distribution of field size using crowdsourcing.

Authors :
Lesiv, Myroslava
Laso Bayas, Juan Carlos
See, Linda
Duerauer, Martina
Dahlia, Domian
Durando, Neal
Hazarika, Rubul
Kumar Sahariah, Parag
Vakolyuk, Mar'yana
Blyshchyk, Volodymyr
Bilous, Andrii
Perez‐Hoyos, Ana
Gengler, Sarah
Prestele, Reinhard
Bilous, Svitlana
Akhtar, Ibrar ul Hassan
Singha, Kuleswar
Choudhury, Sochin Boro
Chetri, Tilok
Malek, Žiga
Source :
Global Change Biology. Jan2019, Vol. 25 Issue 1, p174-186. 13p. 2 Color Photographs, 1 Diagram, 2 Graphs, 2 Maps.
Publication Year :
2019

Abstract

There is an increasing evidence that smallholder farms contribute substantially to food production globally, yet spatially explicit data on agricultural field sizes are currently lacking. Automated field size delineation using remote sensing or the estimation of average farm size at subnational level using census data are two approaches that have been used. However, both have limitations, for example, automatic field size delineation using remote sensing has not yet been implemented at a global scale while the spatial resolution is very coarse when using census data. This paper demonstrates a unique approach to quantifying and mapping agricultural field size globally using crowdsourcing. A campaign was run in June 2017, where participants were asked to visually interpret very high resolution satellite imagery from Google Maps and Bing using the Geo‐Wiki application. During the campaign, participants collected field size data for 130 K unique locations around the globe. Using this sample, we have produced the most accurate global field size map to date and estimated 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 that smallholder farms occupy up to 40% of agricultural areas globally, which means that, potentially, there are many more smallholder farms in comparison with the two different current global estimates of 12% and 24%. The global field size map and the crowdsourced data set are openly available and can be used for integrated assessment modeling, comparative studies of agricultural dynamics across different contexts, for training and validation of remote sensing field size delineation, and potential contributions to the Sustainable Development Goal of Ending hunger, achieve food security and improved nutrition and promote sustainable agriculture. This paper demonstrates a unique approach to quantifying and mapping agricultural field size globally using crowdsourcing. A campaign was run in June 2017 where participants were asked to visually interpret very high resolution satellite imagery from Google Maps and Bing using the Geo‐Wiki application. The results show that smallholder farms occupy up to 40% of agricultural areas globally, which means that, potentially, there are many more smallholder farms in comparison with the two different current global estimates of 12% and 24%. The global field size map and the crowdsourced data set are openly available. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13541013
Volume :
25
Issue :
1
Database :
Academic Search Index
Journal :
Global Change Biology
Publication Type :
Academic Journal
Accession number :
133559476
Full Text :
https://doi.org/10.1111/gcb.14492