DocumentCode :
573471
Title :
Estimation of sowing dates at the village level: A probabilistic approach based on vegetation onset detections
Author :
Marinho, Eduard ; Vancutsem, Christelle ; Fasbender, Dominique ; Kayitakire, Francois ; Pini, Giancarlo ; Pekel, Jean-Francois
Author_Institution :
Joint Res. Centre, Eur. Comm., Ispra, Italy
fYear :
2012
fDate :
2-4 Aug. 2012
Firstpage :
1
Lastpage :
6
Abstract :
The length of the crop season is a major determinant of yields in Sahel. Based on green-up onset detection derived from MODIS time series, this paper proposes a new methodology for the estimation of the sowing dates. It builds upon a novel stochastic model that translates vegetation onset detections around villages into sowing probabilities. Results for Niger show that this approach outperforms the standard method adopted in the region based on rainfall thresholds.
Keywords :
agriculture; crops; stochastic processes; time series; MODIS time series; Sahel; crop season; green-up onset detection; probabilistic approach; rainfall threshold; sowing date estimation; sowing probability; stochastic model; vegetation onset detection; village level; Agriculture; Estimation; Indexes; MODIS; Soil; Time series analysis; Vegetation mapping; MODIS; Sahel; sowing dates; statistics; vegetation onset;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-2495-3
Electronic_ISBN :
978-1-4673-2494-6
Type :
conf
DOI :
10.1109/Agro-Geoinformatics.2012.6311695
Filename :
6311695
Link To Document :
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