Publication: Eyes in the Sky, Boots on the Ground: Assessing Satellite, and Ground-Based Approaches to Crop Yield Measurement and Analysis

Thumbnail Image
Files in English
English PDF (503.48 KB)
121 downloads

English Text (137.99 KB)
9 downloads
Date
2022-07-15
ISSN
Published
2022-07-15
Author(s)
David B. Lobell
George Azzari
Burke,Marshall Benajah
Gourlay,Sydney
Zhenong Jin
Kilic,Talip
Murray,Siobhan
Abstract
Understanding the determinants of agricultural productivity requires accurate measurement of crop output and yield. In smallholder production systems across low- and middle-income countries, crop yields have traditionally been assessed based on farmer-reported production and land areas in household and farm surveys, occasionally by objective crop cuts for a sub-section of a farmer’s plot, and rarely using full-plot harvests. In parallel, satellite data continue to improve in terms of spatial, temporal, and spectral resolution needed to discern performance on smallholder plots. This study evaluates ground and satellite-based approaches to estimating crop yields and yield responsiveness to inputs, using data on maize from Eastern Uganda. Using unique, simultaneous ground data on yields based on farmer reporting, sub-plot crop cutting, and full-plot harvests across hundreds of smallholder plots, we document large discrepancies among the ground-based measures, particularly among yields based on farmer-reporting versus sub-plot or full-plot crop cutting. Compared to yield measures based on either farmer-reporting or sub-plot crop cutting, satellite-based yield measures explain as much or more variation in yields based on (gold-standard) full-plot crop cuts. Further, estimates of the association between maize yield and various production factors (e.g., fertilizer, soil quality) are similar across crop cut- and satellite-based yield measures, with the use of the latter at times leading to more significant results due to larger sample sizes. Overall, the results suggest a substantial role for satellite-based yield estimation in measuring and understanding agricultural productivity in the developing world.
Citation
David B. Lobell; George Azzari; Burke,Marshall Benajah; Gourlay,Sydney; Zhenong Jin; Kilic,Talip; Murray,Siobhan. 2022. Eyes in the Sky, Boots on the Ground: Assessing Satellite, and Ground-Based Approaches to Crop Yield Measurement and Analysis. © Washington, DC: World Bank. http://hdl.handle.net/10986/37749 License: CC BY 3.0 IGO.
Report Series
Other publications in this report series
Journal
Journal Volume
Journal Issue
Associated URLs
Associated content
Citations