Estimation of sowing dates at the village level: A probabilistic approach based on vegetation onset detections

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...

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Bibliographic Details
Published in2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics) pp. 1 - 6
Main Authors Marinho, E., Vancutsem, C., Fasbender, D., Kayitakire, F., Pini, G., Pekel, J-F
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2012
Subjects
Agriculture
Estimation
Indexes
MODIS
Sahel
Soil
sowing dates
statistics
Time series analysis
Vegetation mapping
vegetation onset
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Summary: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.
ISBN:1467324957
9781467324953
DOI:10.1109/Agro-Geoinformatics.2012.6311695