Estimating the global distribution of field size using crowdsourcing.

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 resoluti

SUBMITTER: Lesiv M 

PROVIDER: S-EPMC7379266 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature