@article{fdi:010073992,
  title = {{F}orecasting of cereal yields in a semi-arid area using the {S}imple {A}lgorithm for {Y}ield {E}stimation ({SAFY}) agro-meteorological model combined with optical {SPOT}/{HRV} images},
  author = {{B}ellakanji, {A}. {C}. and {Z}ribi, {M}. and {L}ili-{C}habaane, {Z}. and {M}ougenot, {B}ernard},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n semi-arid areas characterized by frequent drought events, there is often a strong need for an operational grain yield forecasting system, to help decision-makers with the planning of annual imports. {H}owever, monitoring the crop canopy and production capacity of plants, especially for cereals, can be challenging. {I}n this paper, a new approach to yield estimation by combining data from the {S}imple {A}lgorithm for {Y}ield estimation ({SAFY}) agro-meteorological model with optical {SPOT}/{H}igh {V}isible {R}esolution ({HRV}) satellite data is proposed. {G}rain yields are then statistically estimated as a function of {L}eaf {A}rea {I}ndex ({LAI}) during the maximum growth period between 25 {M}arch and 5 {A}pril. {T}he {LAI} is retrieved from the {SAFY} model, and calibrated using {SPOT}/{HRV} data. {T}his study is based on the analysis of a rich database, which was acquired over a period of two years (2010-2011, 2012-2013) at the {M}erguellil site in central {T}unisia ({N}orth {A}frica) from more than 60 test fields and 20 optical satellite {SPOT}/{HRV} images. {T}he validation and calibration of this methodology is presented, on the basis of two subsets of observations derived from the experimental database. {F}inally, an inversion technique is applied to estimate the overall yield of the entire studied site.},
  keywords = {yield ; cereal ; {SAFY} ; optical remote sensing ; {SPOT}/{HRV} ; {TUNISIE} ; {MERGUELLIL}},
  booktitle = {},
  journal = {{S}ensors},
  volume = {18},
  numero = {7},
  pages = {art. 2138 [19 p.]},
  ISSN = {1424-8220},
  year = {2018},
  DOI = {10.3390/s18072138},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073992},
}