Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1685-2019
https://doi.org/10.5194/nhess-19-1685-2019
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

Viewed

Total article views: 3,087 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,153 848 86 3,087 96 88
  • HTML: 2,153
  • PDF: 848
  • XML: 86
  • Total: 3,087
  • BibTeX: 96
  • EndNote: 88
Views and downloads (calculated since 19 Feb 2019)
Cumulative views and downloads (calculated since 19 Feb 2019)

Viewed (geographical distribution)

Total article views: 3,087 (including HTML, PDF, and XML) Thereof 2,560 with geography defined and 527 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Nov 2024
Download
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.
Altmetrics
Final-revised paper
Preprint