PARAMETRIC COVERAGE OF DROUGHT IN SOYBEAN CROP ACCORDING TO SATELLITE INDEX

Conventional insurance policies are those in which a suitable expert in the area carries out the quantification of the damage to an insurable asset in the field. On the other hand, in the case of parametric insurance, the loss generated by a specific threat to an insurable asset is determined by an...

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Autores principales: Rubio, Jorge, Diaz, Julieta, Nievas Lio, Estefanía, Salari, Francisco, Dechiara, Daniel, Solarte, Andrés, Scavuzzo, Carlos
Formato: Artículo publishedVersion
Lenguaje:Español
Publicado: Centro de Investigación en Métodos Cuantitativos Aplicados a la Economía y la Gestión (CMA) 2024
Materias:
Riesgo. Satélite. Sequía. TVDI. Seguro.
Risk. Satellite. Drought. TVDI. Insurance.
Acceso en línea:https://ojs.economicas.uba.ar/RIMF/article/view/2117
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=modelfin&d=2117_oai
Aporte de:
Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires
id I28-R145-2117_oai
record_format dspace
spelling I28-R145-2117_oai2025-02-11 Rubio, Jorge Diaz, Julieta Nievas Lio, Estefanía Salari, Francisco Dechiara, Daniel Solarte, Andrés Scavuzzo, Carlos 2024-11-27 Conventional insurance policies are those in which a suitable expert in the area carries out the quantification of the damage to an insurable asset in the field. On the other hand, in the case of parametric insurance, the loss generated by a specific threat to an insurable asset is determined by an index. The insurance industry needs to have measurement instruments that allow us to quantify with a high degree of certainty the yield reduction in the field due to the hazard covered. An improved satellite index has been developed to measure the intensity of the agricultural drought and therefore to identify production losses associated with this phenomenon on extensive plantations. Secondly, spatial data at regional scale was analysed comparing it with estimated yield data at district and establishment level. Once an association was found between the variables previously described, a technical feasibility study was carried out at the pixel/farm level to ensure an association between high TVDI anomalies and low yields. Once this association was proved, the risk of drought was estimated and analysed, structuring the drought index in a parametric coverage. For this purpose, the thresholds (Trigger) were calculated which will activate the coverage. Then we model the historical losses, obtaining historical maps with their levels of intensities with a spatial scale at 500m2 and the consequent technical rates of risk. Los seguros tradicionales son aquellos en los cuales la cuantificación del daño de un bien asegurable se realiza a campo por un perito idóneo en la temática. En el caso de los seguros paramétricos, es un índice el que determina la pérdida que una amenaza específica le genera a un bien asegurable. La industria del seguro requiere contar con instrumentos de medición que permitan cuantificar con un alto grado de correlación las pérdidas de rendimiento a causa del riesgo cubierto. Se busca concretar un instrumento de medición satelital que permita estimar las pérdidas de producción a causa de la sequía, desarrollando un índice que nos permita medir la intensidad de la sequía agrícola y así poder correlacionar las pérdidas de producción que este fenómeno ocasiona a los cultivos extensivos. Se propone generar un índice satelital que permita cuantificar la sequía agrícola analizando datos espaciales a escala regional y comparándolos con datos estimados de rendimientos a nivel de departamentos y de establecimientos. Encontrada una asociación entre las variables descritas, se procede a realizar un estudio de factibilidad técnica a nivel de píxel/predio que nos asegure una asociación entre altas anomalías de TVDI y bajos rendimientos. Probada esta asociación se estima y analiza el riesgo por sequía, estructurando el índice de sequía en una cobertura paramétrica calculando los umbrales (Trigger) que activarán la cobertura. Posteriormente se modelan las pérdidas estimadas, obteniendo mapas históricos con sus niveles de intensidades con una escala de 500m2 y las consecuentes tasas técnicas de riesgo. application/pdf https://ojs.economicas.uba.ar/RIMF/article/view/2117 10.56503/rimf/Vol.1(2021)p.54-72 spa Centro de Investigación en Métodos Cuantitativos Aplicados a la Economía y la Gestión (CMA) https://ojs.economicas.uba.ar/RIMF/article/view/2117/4038 https://creativecommons.org/licenses/by-nc-nd/4.0/ Revista de Investigación en Modelos Financieros; Vol. 1 (2021): Revista de Investigación en Modelos Financieros; 54-72 2250-6861 2250-687X Riesgo. Satélite. Sequía. TVDI. Seguro. Risk. Satellite. Drought. TVDI. Insurance. PARAMETRIC COVERAGE OF DROUGHT IN SOYBEAN CROP ACCORDING TO SATELLITE INDEX Cobertura paramétrica de sequía en cultivo de soja según índice satelital info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=modelfin&d=2117_oai
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-145
collection Repositorio Digital de la Universidad de Buenos Aires (UBA)
language Español
orig_language_str_mv spa
topic Riesgo. Satélite. Sequía. TVDI. Seguro.
Risk. Satellite. Drought. TVDI. Insurance.
spellingShingle Riesgo. Satélite. Sequía. TVDI. Seguro.
Risk. Satellite. Drought. TVDI. Insurance.
Rubio, Jorge
Diaz, Julieta
Nievas Lio, Estefanía
Salari, Francisco
Dechiara, Daniel
Solarte, Andrés
Scavuzzo, Carlos
PARAMETRIC COVERAGE OF DROUGHT IN SOYBEAN CROP ACCORDING TO SATELLITE INDEX
topic_facet Riesgo. Satélite. Sequía. TVDI. Seguro.
Risk. Satellite. Drought. TVDI. Insurance.
description Conventional insurance policies are those in which a suitable expert in the area carries out the quantification of the damage to an insurable asset in the field. On the other hand, in the case of parametric insurance, the loss generated by a specific threat to an insurable asset is determined by an index. The insurance industry needs to have measurement instruments that allow us to quantify with a high degree of certainty the yield reduction in the field due to the hazard covered. An improved satellite index has been developed to measure the intensity of the agricultural drought and therefore to identify production losses associated with this phenomenon on extensive plantations. Secondly, spatial data at regional scale was analysed comparing it with estimated yield data at district and establishment level. Once an association was found between the variables previously described, a technical feasibility study was carried out at the pixel/farm level to ensure an association between high TVDI anomalies and low yields. Once this association was proved, the risk of drought was estimated and analysed, structuring the drought index in a parametric coverage. For this purpose, the thresholds (Trigger) were calculated which will activate the coverage. Then we model the historical losses, obtaining historical maps with their levels of intensities with a spatial scale at 500m2 and the consequent technical rates of risk.
format Artículo
publishedVersion
author Rubio, Jorge
Diaz, Julieta
Nievas Lio, Estefanía
Salari, Francisco
Dechiara, Daniel
Solarte, Andrés
Scavuzzo, Carlos
author_facet Rubio, Jorge
Diaz, Julieta
Nievas Lio, Estefanía
Salari, Francisco
Dechiara, Daniel
Solarte, Andrés
Scavuzzo, Carlos
author_sort Rubio, Jorge
title PARAMETRIC COVERAGE OF DROUGHT IN SOYBEAN CROP ACCORDING TO SATELLITE INDEX
title_short PARAMETRIC COVERAGE OF DROUGHT IN SOYBEAN CROP ACCORDING TO SATELLITE INDEX
title_full PARAMETRIC COVERAGE OF DROUGHT IN SOYBEAN CROP ACCORDING TO SATELLITE INDEX
title_fullStr PARAMETRIC COVERAGE OF DROUGHT IN SOYBEAN CROP ACCORDING TO SATELLITE INDEX
title_full_unstemmed PARAMETRIC COVERAGE OF DROUGHT IN SOYBEAN CROP ACCORDING TO SATELLITE INDEX
title_sort parametric coverage of drought in soybean crop according to satellite index
publisher Centro de Investigación en Métodos Cuantitativos Aplicados a la Economía y la Gestión (CMA)
publishDate 2024
url https://ojs.economicas.uba.ar/RIMF/article/view/2117
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=modelfin&d=2117_oai
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