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

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 far...

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Main Authors: David B. Lobell, George Azzari, Burke,Marshall Benajah, Gourlay,Sydney, Zhenong Jin, Kilic,Talip, Murray,Siobhan
Format: Journal Article
Language:English
Published: Washington, DC: World Bank 2022
Online Access:http://documents.worldbank.org/curated/en/099320407152277828/P16229209200bf0bd0b8820e733ebdb3407
http://hdl.handle.net/10986/37749
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spelling okr-10986-377492022-07-27T11:57:44Z Eyes in the Sky, Boots on the Ground : Assessing Satellite, and Ground-Based Approaches to Crop Yield Measurement and Analysis David B. Lobell George Azzari Burke,Marshall Benajah Gourlay,Sydney Zhenong Jin Kilic,Talip Murray,Siobhan 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. 2022-07-25T13:16:36Z 2022-07-25T13:16:36Z 2022-07-15 http://documents.worldbank.org/curated/en/099320407152277828/P16229209200bf0bd0b8820e733ebdb3407 http://hdl.handle.net/10986/37749 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Washington, DC: World Bank Journal Article Publications & Research Other Other World
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description 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.
format Journal Article
author David B. Lobell
George Azzari
Burke,Marshall Benajah
Gourlay,Sydney
Zhenong Jin
Kilic,Talip
Murray,Siobhan
spellingShingle David B. Lobell
George Azzari
Burke,Marshall Benajah
Gourlay,Sydney
Zhenong Jin
Kilic,Talip
Murray,Siobhan
Eyes in the Sky, Boots on the Ground : Assessing Satellite, and Ground-Based Approaches to Crop Yield Measurement and Analysis
author_facet David B. Lobell
George Azzari
Burke,Marshall Benajah
Gourlay,Sydney
Zhenong Jin
Kilic,Talip
Murray,Siobhan
author_sort David B. Lobell
title Eyes in the Sky, Boots on the Ground : Assessing Satellite, and Ground-Based Approaches to Crop Yield Measurement and Analysis
title_short Eyes in the Sky, Boots on the Ground : Assessing Satellite, and Ground-Based Approaches to Crop Yield Measurement and Analysis
title_full Eyes in the Sky, Boots on the Ground : Assessing Satellite, and Ground-Based Approaches to Crop Yield Measurement and Analysis
title_fullStr Eyes in the Sky, Boots on the Ground : Assessing Satellite, and Ground-Based Approaches to Crop Yield Measurement and Analysis
title_full_unstemmed Eyes in the Sky, Boots on the Ground : Assessing Satellite, and Ground-Based Approaches to Crop Yield Measurement and Analysis
title_sort eyes in the sky, boots on the ground : assessing satellite, and ground-based approaches to crop yield measurement and analysis
publisher Washington, DC: World Bank
publishDate 2022
url http://documents.worldbank.org/curated/en/099320407152277828/P16229209200bf0bd0b8820e733ebdb3407
http://hdl.handle.net/10986/37749
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