Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative

This paper discusses the feasibility of applying a near-surface remote sensing approach in the index insurance component of the R4 Rural Resilience Initiative in Ethiopia. Specifically, we test a prototype for using smartphone images of insured fields (or ‘picture-based insurance’) to monitor crops...

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Autores principales: Aredo, Samson Dejene, Kramer, Berber
Formato: Artículo preliminar
Lenguaje:Inglés
Publicado: CGIAR Research Program on Climate Change, Agriculture and Food Security 2020
Materias:
Acceso en línea:https://hdl.handle.net/10568/111050
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author Aredo, Samson Dejene
Kramer, Berber
author_browse Aredo, Samson Dejene
Kramer, Berber
author_facet Aredo, Samson Dejene
Kramer, Berber
author_sort Aredo, Samson Dejene
collection Repository of Agricultural Research Outputs (CGSpace)
description This paper discusses the feasibility of applying a near-surface remote sensing approach in the index insurance component of the R4 Rural Resilience Initiative in Ethiopia. Specifically, we test a prototype for using smartphone images of insured fields (or ‘picture-based insurance’) to monitor crops and manage basis risk in R4 insurance policies. We find that the proposed prototype, in which R4 agents send in images of crops grown by farmers in their communities, is feasible. Further, we find that crop losses are not only caused by droughts, which are covered by R4 index insurance products, but also by other perils such as pests or disease, which are not easily captured by index insurance. Despite limited smartphone penetration and current challenges in internet coverage, the near-surface remote sensing approach appears valuable and feasible in the context of the R4 Rural Resilience Initiative in Ethiopia.
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institution CGIAR Consortium
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spelling CGSpace1110502025-11-06T06:23:22Z Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative Aredo, Samson Dejene Kramer, Berber risk management pests remote sensing technology crops agricultural insurance agriculture food security risk crop losses smart materials resilience photography climate change This paper discusses the feasibility of applying a near-surface remote sensing approach in the index insurance component of the R4 Rural Resilience Initiative in Ethiopia. Specifically, we test a prototype for using smartphone images of insured fields (or ‘picture-based insurance’) to monitor crops and manage basis risk in R4 insurance policies. We find that the proposed prototype, in which R4 agents send in images of crops grown by farmers in their communities, is feasible. Further, we find that crop losses are not only caused by droughts, which are covered by R4 index insurance products, but also by other perils such as pests or disease, which are not easily captured by index insurance. Despite limited smartphone penetration and current challenges in internet coverage, the near-surface remote sensing approach appears valuable and feasible in the context of the R4 Rural Resilience Initiative in Ethiopia. 2020-12-21 2021-01-29T16:26:14Z 2021-01-29T16:26:14Z Working Paper https://hdl.handle.net/10568/111050 en https://doi.org/10.1016/j.deveng.2019.100042 https://doi.org/10.1016/j.agrformet.2018.11.002 https://hdl.handle.net/10568/110712 Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Dejene Aredo S, Kramer B. 2020. Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative. CCAFS Working Paper no. 342. Wageningen, the Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
spellingShingle risk management
pests
remote sensing
technology
crops
agricultural insurance
agriculture
food security
risk
crop losses
smart materials
resilience
photography
climate change
Aredo, Samson Dejene
Kramer, Berber
Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative
title Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative
title_full Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative
title_fullStr Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative
title_full_unstemmed Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative
title_short Using digital repeat photography to strengthen seasonal monitoring in Ethiopia’s R4 Rural Resilience Initiative
title_sort using digital repeat photography to strengthen seasonal monitoring in ethiopia s r4 rural resilience initiative
topic risk management
pests
remote sensing
technology
crops
agricultural insurance
agriculture
food security
risk
crop losses
smart materials
resilience
photography
climate change
url https://hdl.handle.net/10568/111050
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AT kramerberber usingdigitalrepeatphotographytostrengthenseasonalmonitoringinethiopiasr4ruralresilienceinitiative