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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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NHESS | Articles | Volume 19, issue 8
Nat. Hazards Earth Syst. Sci., 19, 1685–1702, 2019
https://doi.org/10.5194/nhess-19-1685-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Remote sensing, modelling-based hazard and risk assessment,...

Nat. Hazards Earth Syst. Sci., 19, 1685–1702, 2019
https://doi.org/10.5194/nhess-19-1685-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (07 May 2019) by Anne Gobin
AR by Juan J. Martin Sotoca on behalf of the Authors (18 Jun 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (09 Jul 2019) by Anne Gobin
AR by Juan J. Martin Sotoca on behalf of the Authors (16 Jul 2019)  Author's response    Manuscript
Publications Copernicus
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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.
Vegetation indices based on satellite images, such as the normalized difference vegetation index...
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