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