Articles | Volume 25, issue 2
https://doi.org/10.5194/nhess-25-913-2025
© Author(s) 2025. 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-25-913-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
28 Feb 2025
Review article |
| 28 Feb 2025
| 28 Feb 2025
Satellite-based data for agricultural index insurance: a systematic quantitative literature review
Centre for Applied Climate Sciences, Institute for Life Sciences and the Environment, University of Southern Queensland, Toowoomba, QLD 4350, Australia
Shahbaz Mushtaq
Centre for Applied Climate Sciences, Institute for Life Sciences and the Environment, University of Southern Queensland, Toowoomba, QLD 4350, Australia
Jarrod Kath
Centre for Applied Climate Sciences, Institute for Life Sciences and the Environment, University of Southern Queensland, Toowoomba, QLD 4350, Australia
School of Agriculture and Environmental Science, Faculty of Health, Engineering and Sciences, University of Southern Queensland, Toowoomba, QLD 4350, Australia
Thong Nguyen-Huy
Centre for Applied Climate Sciences, Institute for Life Sciences and the Environment, University of Southern Queensland, Toowoomba, QLD 4350, Australia
Faculty of Information Technology, Thanh Do University, Kim Chung, Hoai Duc, Ha Noi 100000, Vietnam
Louis Reymondin
Bioversity International, Parc scientifique Agropolis II, 1990 Bd de la Lironde, Montpellier, France
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Cited
16 citations as recorded by crossref.
- Monitoring Maize Yield Variability over Space and Time with Unsupervised Satellite Imagery Features C. Molitor et al. https://doi.org/10.3390/rs17213641
- Climate stressor projections inform adaptation needs in South Asian oilseed systems A. Barik et al. https://doi.org/10.1038/s44264-026-00170-9
- Regional heterogeneity modeling for spatiotemporal crop yield forecasting: a hybrid dynamic factor-neural network statistical model H. Xiong et al. https://doi.org/10.1080/03610926.2026.2671328
- Seasonal index-based corn insurance design for Brazil: Insights from Safra and Safrinha B. Mazviona et al. https://doi.org/10.1016/j.landusepol.2026.108359
- Designing and evaluating a composite climatic index to risk management in livestock insurance M. Kalantaripor et al. https://doi.org/10.1016/j.indic.2025.101025
- Effectiveness of early-warning systems and disaster risk reduction for rural food security under hydro-meteorological hazards in Sub-Saharan Africa: systematic review D. Teku & G. Tariku https://doi.org/10.1080/13504509.2025.2595056
- Multi-Scale Remote-Sensing Phenomics Integrated with Multi-Omics: Advances in Crop Drought–Heat Stress Tolerance Mechanisms and Perspectives for Climate-Smart Agriculture X. Liang et al. https://doi.org/10.3390/plants14182829
- 从风险资讯与风险融资看风险的可保性 . 余鳳全 https://doi.org/10.62836/ssr.v2n4.0597
- Pathways for livelihood resilience across drought, flood, and heat: Evidence for disaster risk reduction M. Sarker https://doi.org/10.1016/j.pdisas.2026.100635
- Causal analysis for risk management of weather index insurance portfolios under climate change C. Valencia & C. Valencia https://doi.org/10.1007/s00477-026-03370-4
- Optimal Choice of Crop Insurance: The Case of Winter Barley in France D. Dorobantu & G. Pham https://doi.org/10.3390/risks13120244
- Risk Scoring for Crop Insurance at Enrollment: Evidence and Limits C. Colonescu et al. https://doi.org/10.3390/risks14050115
- Beyond the premium: Index-based insurance for sustainable agricultural supply chain management T. Dodd et al. https://doi.org/10.1108/SCM-05-2025-0373
- On IoT‐enabled risk prevention and insurance: A systematic literature review I. Cimbru et al. https://doi.org/10.1111/rmir.70025
- EO-based long term cropland and paddy monitoring with the farm action toolkit (FAcT): strengthening policy support in Bhutan A. Phalke et al. https://doi.org/10.1007/s44279-026-00498-3
- 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
16 citations as recorded by crossref.
- Monitoring Maize Yield Variability over Space and Time with Unsupervised Satellite Imagery Features C. Molitor et al. https://doi.org/10.3390/rs17213641
- Climate stressor projections inform adaptation needs in South Asian oilseed systems A. Barik et al. https://doi.org/10.1038/s44264-026-00170-9
- Regional heterogeneity modeling for spatiotemporal crop yield forecasting: a hybrid dynamic factor-neural network statistical model H. Xiong et al. https://doi.org/10.1080/03610926.2026.2671328
- Seasonal index-based corn insurance design for Brazil: Insights from Safra and Safrinha B. Mazviona et al. https://doi.org/10.1016/j.landusepol.2026.108359
- Designing and evaluating a composite climatic index to risk management in livestock insurance M. Kalantaripor et al. https://doi.org/10.1016/j.indic.2025.101025
- Effectiveness of early-warning systems and disaster risk reduction for rural food security under hydro-meteorological hazards in Sub-Saharan Africa: systematic review D. Teku & G. Tariku https://doi.org/10.1080/13504509.2025.2595056
- Multi-Scale Remote-Sensing Phenomics Integrated with Multi-Omics: Advances in Crop Drought–Heat Stress Tolerance Mechanisms and Perspectives for Climate-Smart Agriculture X. Liang et al. https://doi.org/10.3390/plants14182829
- 从风险资讯与风险融资看风险的可保性 . 余鳳全 https://doi.org/10.62836/ssr.v2n4.0597
- Pathways for livelihood resilience across drought, flood, and heat: Evidence for disaster risk reduction M. Sarker https://doi.org/10.1016/j.pdisas.2026.100635
- Causal analysis for risk management of weather index insurance portfolios under climate change C. Valencia & C. Valencia https://doi.org/10.1007/s00477-026-03370-4
- Optimal Choice of Crop Insurance: The Case of Winter Barley in France D. Dorobantu & G. Pham https://doi.org/10.3390/risks13120244
- Risk Scoring for Crop Insurance at Enrollment: Evidence and Limits C. Colonescu et al. https://doi.org/10.3390/risks14050115
- Beyond the premium: Index-based insurance for sustainable agricultural supply chain management T. Dodd et al. https://doi.org/10.1108/SCM-05-2025-0373
- On IoT‐enabled risk prevention and insurance: A systematic literature review I. Cimbru et al. https://doi.org/10.1111/rmir.70025
- EO-based long term cropland and paddy monitoring with the farm action toolkit (FAcT): strengthening policy support in Bhutan A. Phalke et al. https://doi.org/10.1007/s44279-026-00498-3
- 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
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Short summary
We reviewed the use of satellite-based data in designing agricultural index-based insurance (IBI) products, an effective tool for managing climate risk and promoting sustainable development. Despite the increasing number of studies since 2010 to present, the review revealed a gap in applying the approach to perennial crops in developing countries. We also highlighted the growing importance of satellite data for index insurance, employing high-resolution datasets to reduce basis risk.
We reviewed the use of satellite-based data in designing agricultural index-based insurance...
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