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Validation of the Grassland Production Index, an Insurance Product Estimated at the National Scale, on a Dense Experimental Device

Fieuzal, Remy; Roumiguie, Antoine; Fradin, Julien; Bouchard, Bruno; Ceschia, Eric (2020), Validation of the Grassland Production Index, an Insurance Product Estimated at the National Scale, on a Dense Experimental Device, 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), IEEE - Institute of Electrical and Electronics Engineers : Piscataway, NJ. 10.1109/M2GARSS47143.2020.9105188

Type
Communication / Conférence
Date
2020
Conference title
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium
Conference date
2020-03
Conference city
Tunis
Conference country
Tunisia
Book title
2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
Publisher
IEEE - Institute of Electrical and Electronics Engineers
Published in
Piscataway, NJ
ISBN
9781728121918
Publication identifier
Metadata
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Author(s)
Fieuzal, Remy
Centre d'études spatiales de la biosphère [CESBIO]
Roumiguie, Antoine

Fradin, Julien
Institut de l'élevage [IDELE]
Bouchard, Bruno
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Ceschia, Eric cc
Centre d'études spatiales de la biosphère [CESBIO]
Abstract (EN)
This paper aims at comparing satellite-derived and in situ yearly variations of grassland production, over nine farms located in France. During three successive years (2016, 2017, 2018), a dense experimental device has allowed to characterize the variability of grassland production, through a regular survey conducted on more than 169 plots. Ranging from 4.1 to 11.2 t.ha -1 , the yearly production were derived from several tens of thousands of measurements, and combined to derive yearly variations of production. Such unique dataset was compared to a grassland production index, derived from the combined use of medium resolution satellite images and meteorological data. A high level of accuracy is observed between the in situ and the satellite-derived yearly variations of grassland production, with a R 2 of 0.76 and a maximum deviation of 16.3%. Finally, a focus on the maps obtained at the national level makes it possible to analyze the context of the 3 studied years.
Subjects / Keywords
Grassland; F-COVER; Index-based insurance; MODIS; Medium resolution