Assessing the ability of Sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - A case study of paddy rice inHaryana and Odisha, India
Smallholder agriculture in the Global South is characterised by high degree of risk, which disincentivises investment in productivity gains and limits rural development. Index Insurance aims to overcome the limitations of traditional insurance to insurance farmers against exposure to climatic extremes. Based on two study sites in India, Haryana and Odisha, this study contributes to the technical aspect of improving the indices, more specifically on how field level yield can be estimated through Sentinel-2 derived VI variables and which design options are more suitable to create these variables. The study shows that the best variables alone can explain 20% of the inter-field grain yield variation and that the best combination of variables can explain 53%. Furthermore, the main findings of the study suggest that it is beneficial to test different triggering measures and that including variables from phenologically tailored phases and isolating the rice varieties significantly improves the results. Additional research is needed before the approach is suitable for individualised index insurance but compared to alternative data sources the method will likely pose an effective and scalable way to identify yield gaps and to specifically target policy interventions.
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Format: | Thesis biblioteca |
Language: | English |
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University of Copenhagen
2020-07-02
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Subjects: | climate change, agriculture, food security, rice, smallholders, |
Online Access: | https://hdl.handle.net/10568/109608 |
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dig-cgspace-10568-1096082023-03-12T15:25:48Z Assessing the ability of Sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - A case study of paddy rice inHaryana and Odisha, India Pedersen, Nicolai Bloch Østergaard, Kristian Wille climate change agriculture food security rice smallholders Smallholder agriculture in the Global South is characterised by high degree of risk, which disincentivises investment in productivity gains and limits rural development. Index Insurance aims to overcome the limitations of traditional insurance to insurance farmers against exposure to climatic extremes. Based on two study sites in India, Haryana and Odisha, this study contributes to the technical aspect of improving the indices, more specifically on how field level yield can be estimated through Sentinel-2 derived VI variables and which design options are more suitable to create these variables. The study shows that the best variables alone can explain 20% of the inter-field grain yield variation and that the best combination of variables can explain 53%. Furthermore, the main findings of the study suggest that it is beneficial to test different triggering measures and that including variables from phenologically tailored phases and isolating the rice varieties significantly improves the results. Additional research is needed before the approach is suitable for individualised index insurance but compared to alternative data sources the method will likely pose an effective and scalable way to identify yield gaps and to specifically target policy interventions. 2020-07-02 2020-09-23T19:53:26Z 2020-09-23T19:53:26Z Thesis Pedersen NB, Østergard KW. 2020. Assessing the ability of Sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - A case study of paddy rice inHaryana and Odisha, India. M.Sc. dissertation, Department of Geosciences and Natural Resource Management, University of Copenhagen. https://hdl.handle.net/10568/109608 en Other Open Access 136 p. application/pdf University of Copenhagen |
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climate change agriculture food security rice smallholders climate change agriculture food security rice smallholders Pedersen, Nicolai Bloch Østergaard, Kristian Wille Assessing the ability of Sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - A case study of paddy rice inHaryana and Odisha, India |
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Smallholder agriculture in the Global South is characterised by high degree of risk, which disincentivises investment in productivity gains and limits rural development. Index Insurance aims to overcome the limitations of traditional insurance to insurance farmers against exposure to climatic extremes. Based on two study sites in India, Haryana and Odisha, this study
contributes to the technical aspect of improving the indices, more specifically on how field level yield can be estimated through Sentinel-2 derived VI variables and which design options are more suitable to create these variables. The study shows that the best variables alone can explain 20% of the inter-field grain yield variation and that the best combination of variables can explain 53%. Furthermore, the main findings of the study suggest that it is beneficial to test different triggering measures and that including variables from phenologically tailored phases and isolating the rice varieties significantly improves the results. Additional research is needed before the approach is suitable for individualised index insurance but compared to alternative data sources the method will likely pose an effective and scalable way to identify yield gaps and to specifically target policy interventions. |
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Thesis |
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climate change agriculture food security rice smallholders |
author |
Pedersen, Nicolai Bloch Østergaard, Kristian Wille |
author_facet |
Pedersen, Nicolai Bloch Østergaard, Kristian Wille |
author_sort |
Pedersen, Nicolai Bloch |
title |
Assessing the ability of Sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - A case study of paddy rice inHaryana and Odisha, India |
title_short |
Assessing the ability of Sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - A case study of paddy rice inHaryana and Odisha, India |
title_full |
Assessing the ability of Sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - A case study of paddy rice inHaryana and Odisha, India |
title_fullStr |
Assessing the ability of Sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - A case study of paddy rice inHaryana and Odisha, India |
title_full_unstemmed |
Assessing the ability of Sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - A case study of paddy rice inHaryana and Odisha, India |
title_sort |
assessing the ability of sentinel-2 derived vegetation indices to explain inter-field yield variation in the context of index insurance - a case study of paddy rice inharyana and odisha, india |
publisher |
University of Copenhagen |
publishDate |
2020-07-02 |
url |
https://hdl.handle.net/10568/109608 |
work_keys_str_mv |
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