Articles | Volume 19, issue 8
Research article
07 Aug 2019
Research article |  | 07 Aug 2019

Statistical analysis for satellite-index-based insurance to define damaged pasture thresholds

Juan José Martín-Sotoca, Antonio Saa-Requejo, Rubén Moratiel, Nicolas Dalezios, Ioannis Faraslis, and Ana María Tarquis

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Manuscript not accepted for further review
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Cited articles

AEMET: OpenData. Sistema para la difusión y reutilización de la información de AEMET, available at: (last access: 2 August 2019), 2017. 
Al-Bakri, J. T. and Taylor, J. C.: Application of NOAA AVHRR for monitoring vegetation conditions and biomass in Jordan, J. Arid Environ, 54, 579–593, 2003. 
Anyamba, A., and Tucker, C. J.: Historical perspective of AVHRR NDVI and vegetation drought monitoring, in: Remote Sensing of Drought: Innovative Monit Approaches, CRC Press/Taylor & Francis, Florida, USA, 23–50, 2012. 
Bailey, S.: The Impact of Cash Transfers on Food Consumption in Humanitarian Settings: A review of evidence, Study for the Canadian Foodgrains Bank, Canadian Foodgrains Bank, Winnipeg, Canada, May 2013. 
Bayarjargal, Y., Karnieli, A., Bayasgalan, M., Khudulmur, S., Gandush, C., and Tucker, C. J.: A comparative study of NOAA-AVHRR derived drought indices using change vector analysis, Remote Sens. Environ., 105, 9–22, 2006. 
Short summary
Vegetation indices based on satellite images, such as the normalized difference vegetation index (NDVI), have been used for damaged pasture insurance. The occurrence of damage is usually defined by NDVI thresholds mainly based on normal statistics. In this work a pasture area in Spain was delimited by MODIS images. A statistical analysis of NDVI was applied to search for alternative distributions. Results show that generalized extreme value distributions present a better fit than normal ones.
Final-revised paper