Articles | Volume 20, issue 1
https://doi.org/10.5194/nhess-20-345-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-345-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Remote sensing in an index-based insurance design for hedging economic impacts on rice cultivation
Omar Roberto Valverde-Arias
CORRESPONDING AUTHOR
CEIGRAM, ETSIAAB, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Paloma Esteve
CEIGRAM, ETSIAAB, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Departamento de Economía Agraria, Estadística y Gestión de
Empresas, ETSIAAB, Universidad Politécnica de Madrid, 28040 Madrid,
Spain
Ana María Tarquis
CEIGRAM, ETSIAAB, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Grupo de Sistemas Complejos, ETSIAAB, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Alberto Garrido
CEIGRAM, ETSIAAB, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Departamento de Economía Agraria, Estadística y Gestión de
Empresas, ETSIAAB, Universidad Politécnica de Madrid, 28040 Madrid,
Spain
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Cited
16 citations as recorded by crossref.
- Advancing weather index insurance for climate risk management: A review of modelling techniques and implementation strategies C. Joseph et al. https://doi.org/10.1016/j.eiar.2026.108376
- Index insurance for simultaneous flooding and drought risks with insufficient data: a two-step approach A. Abrego-Pérez et al. https://doi.org/10.1007/s00477-025-02966-6
- Climate catastrophe insurance for climate change: what do we know and what lies ahead? H. Nobanee & X. Nghiem https://doi.org/10.1016/j.cosust.2023.101395
- Can remote sensing-based yield proxies substitute crop cutting experiments in Indian agricultural insurance models? S. Shahin & R. Pradhan https://doi.org/10.1016/j.inpa.2026.08.004
- Index-based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield-index modelling methods M. Abdi et al. https://doi.org/10.1016/j.ijdrr.2021.102653
- Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review M. Fernández-Urrutia et al. https://doi.org/10.3390/s23156932
- Advancements in Weather Index Insurance: A Review of Data-Driven Approaches to Design, Pricing and Risk Management S. Wijesena & B. Pradhan https://doi.org/10.1007/s41748-025-00712-0
- Bibliometric Network Analysis of Crop Yield Gap Research over the Past Three Decades Y. Hu et al. https://doi.org/10.3390/agriculture13112105
- Assimilating vegetation indices and canopy cover derived from remote sensing into the AquaCrop model for estimating rice yield F. Sayadi et al. https://doi.org/10.1002/ird.3068
- Enhancing FAIR Data Services in Agricultural Disaster: A Review L. Hu et al. https://doi.org/10.3390/rs15082024
- Enhancing weather index insurance through surrogate models: leveraging machine learning techniques and remote sensing data S. Wijesena & B. Pradhan https://doi.org/10.1088/2515-7620/adba2c
- Preface: Remote sensing, modelling-based hazard and risk assessment, and management of agro-forested ecosystems J. Rizzi et al. https://doi.org/10.5194/nhess-21-3873-2021
- A review of applications of remote sensing for drought studies in the Andes region K. Altemus Cullen https://doi.org/10.1016/j.ejrh.2023.101483
- Analysis of Forecasting Land Area and Rice Production in Riau Province for Rice Food Security Year 2025-2030 L. Siswati et al. https://doi.org/10.1051/e3sconf/202567805002
- Temporal analysis of the planform morphology of the Quevedo River, Ecuador, using remote sensing A. Clavijo-Rivera et al. https://doi.org/10.1016/j.jsames.2023.104467
- The role of crop classification in detecting wheat yield variation for index-based agricultural insurance in arid and semiarid environments S. Eltazarov et al. https://doi.org/10.1016/j.indic.2023.100250
16 citations as recorded by crossref.
- Advancing weather index insurance for climate risk management: A review of modelling techniques and implementation strategies C. Joseph et al. https://doi.org/10.1016/j.eiar.2026.108376
- Index insurance for simultaneous flooding and drought risks with insufficient data: a two-step approach A. Abrego-Pérez et al. https://doi.org/10.1007/s00477-025-02966-6
- Climate catastrophe insurance for climate change: what do we know and what lies ahead? H. Nobanee & X. Nghiem https://doi.org/10.1016/j.cosust.2023.101395
- Can remote sensing-based yield proxies substitute crop cutting experiments in Indian agricultural insurance models? S. Shahin & R. Pradhan https://doi.org/10.1016/j.inpa.2026.08.004
- Index-based insurance and hydroclimatic risk management in agriculture: A systematic review of index selection and yield-index modelling methods M. Abdi et al. https://doi.org/10.1016/j.ijdrr.2021.102653
- Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review M. Fernández-Urrutia et al. https://doi.org/10.3390/s23156932
- Advancements in Weather Index Insurance: A Review of Data-Driven Approaches to Design, Pricing and Risk Management S. Wijesena & B. Pradhan https://doi.org/10.1007/s41748-025-00712-0
- Bibliometric Network Analysis of Crop Yield Gap Research over the Past Three Decades Y. Hu et al. https://doi.org/10.3390/agriculture13112105
- Assimilating vegetation indices and canopy cover derived from remote sensing into the AquaCrop model for estimating rice yield F. Sayadi et al. https://doi.org/10.1002/ird.3068
- Enhancing FAIR Data Services in Agricultural Disaster: A Review L. Hu et al. https://doi.org/10.3390/rs15082024
- Enhancing weather index insurance through surrogate models: leveraging machine learning techniques and remote sensing data S. Wijesena & B. Pradhan https://doi.org/10.1088/2515-7620/adba2c
- Preface: Remote sensing, modelling-based hazard and risk assessment, and management of agro-forested ecosystems J. Rizzi et al. https://doi.org/10.5194/nhess-21-3873-2021
- A review of applications of remote sensing for drought studies in the Andes region K. Altemus Cullen https://doi.org/10.1016/j.ejrh.2023.101483
- Analysis of Forecasting Land Area and Rice Production in Riau Province for Rice Food Security Year 2025-2030 L. Siswati et al. https://doi.org/10.1051/e3sconf/202567805002
- Temporal analysis of the planform morphology of the Quevedo River, Ecuador, using remote sensing A. Clavijo-Rivera et al. https://doi.org/10.1016/j.jsames.2023.104467
- The role of crop classification in detecting wheat yield variation for index-based agricultural insurance in arid and semiarid environments S. Eltazarov et al. https://doi.org/10.1016/j.indic.2023.100250
Saved (final revised paper)
Latest update: 07 Sep 2026
Short summary
We designed an index-based insurance (IBI) for drought and flood in rice crops in Babahoyo (Ecuador). We assessed Babahoyo's soil, climatic and topographic variability, finding two homogeneous zones inside this area. We set differentiated insurance premiums according to the particular risk status of each zone. Results demonstrate that this IBI is an efficient risk transfer tool for policyholders. This insurance design could contribute to stabilizing farmers' incomes and rice production.
We designed an index-based insurance (IBI) for drought and flood in rice crops in Babahoyo...
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