Title: Remote Sensing Based Yield Estimation in a Stochastic Framework – Case Study of Durum Wheat in Tunisia
Citation: REMOTE SENSING vol. 5 p. 539-557
Publisher: MDPI
Publication Year: 2013
JRC N°: JRC76475
ISSN: 2072-4292
URI: http://www.mdpi.com/2072-4292/5/2/539
DOI: 10.3390/rs5020539
Type: Articles in periodicals and books
Abstract: Multitemporal optical remote sensing constitutes a useful, cost efficient method for crop status monitoring over large areas. Modelers interested in yield monitoring can rely on past and recent observations of crop reflectance to estimate aboveground biomass and infer the likely yield. Therefore, in a framework constrained by the information availability, remote sensing data to yield conversion parameters are to be estimated. Statistical models are suitable for this purpose given their ability to deal with statistical errors. This paper explores the performance in yield estimation of various remote sensing indicators based on varying degrees of bio-physical insight, in interaction with statistical methods (linear regressions) that rely on different hypotheses. Jackknifed results (leave one year out) are presented for the case of wheat yield regional estimation in Tunisia using the SPOT-VEGETATION instrument.
JRC Directorate:Sustainable Resources

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