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Remote Sens. 2015, 7(9), 11525-11550; doi:10.3390/rs70911525

Validation of a Forage Production Index (FPI) Derived from MODIS fCover Time-Series Using High-Resolution Satellite Imagery: Methodology, Results and Opportunities

1
Université de Toulouse, Institut National Polytechnique de Toulouse, Ecole d'Ingénieurs de Purpan, UMR 1201 DYNAFOR, France
2
Airbus Defence and Space, 5, rue des Satellites, 31400 Toulouse, France
3
CESBIO UMR 5126 CNES-UPS-CNRS-IRD, 31400 Toulouse, France
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Olivier Hagolle, Benjamin Koetz, Olivier Arino, Sylvia Sylvander and Prasad S. Thenkabail
Received: 4 June 2015 / Revised: 13 August 2015 / Accepted: 31 August 2015 / Published: 9 September 2015
View Full-Text   |   Download PDF [1681 KB, uploaded 9 September 2015]   |  

Abstract

An index-based insurance solution was developed to estimate and monitor near real-time forage production using the indicator Forage Production Index (FPI) as a surrogate of the grassland production. The FPI corresponds to the integral of the fraction of green vegetation cover derived from moderate spatial resolution time series images and was calculated at the 6 km × 6 km scale. An upscaled approach based on direct validation was used that compared FPI with field-collected biomass data and high spatial resolution (HR) time series images. The experimental site was located in the Lot and Aveyron departments of southwestern France. Data collected included biomass ground measurements from grassland plots at 28 farms for the years 2012, 2013 and 2014 and HR images covering the Lot department in 2013 (n = 26) and 2014 (n = 22). Direct comparison with ground-measured yield led to good accuracy (R2 = 0.71 and RMSE = 14.5%). With indirect comparison, the relationship was still strong (R2 ranging from 0.78 to 0.93) and informative. These results highlight the effect of disaggregation, the grassland sampling rate, and irregularity of image acquisition in the HR time series. In advance of Sentinel-2, this study provides valuable information on the strengths and weaknesses of a potential index-based insurance product from HR time series images. View Full-Text
Keywords: validation; fCover; grassland; index-based insurance; time series; SPOT4 Take5 validation; fCover; grassland; index-based insurance; time series; SPOT4 Take5
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Roumiguié, A.; Jacquin, A.; Sigel, G.; Poilvé, H.; Hagolle, O.; Daydé, J. Validation of a Forage Production Index (FPI) Derived from MODIS fCover Time-Series Using High-Resolution Satellite Imagery: Methodology, Results and Opportunities. Remote Sens. 2015, 7, 11525-11550.

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