Using harmonic analysis of green LAI time series obtained from Sentinel-2 imagery for daily representation of crop growth in a hydro-agroecological model

Harmonic Analysis of Time Series (HANTS) was used to obtain daily reconstructed values of green leaf area index (GLAI) from optical Sentinel-2 imagery for a maize and a winter wheat field plot in Southern Germany in order to represent crop growth in the hydro- agroecological PROMET model. Daily GLAI time series were retrieved with high accuracy in case of winter wheat (R2=0.90, RMSE=0.78 m2/m2) and slightly lower accuracy in case of maize (R2=0.85, RMSE=1.05 m2/m2) from the imagery by radiative-transfer model inversion. Assimilating these reconstructed GLAI time series into PROMET using the model forcing technique allowed for retrieving winter wheat fruit biomass (R2=0.98, RMSE=0.08 kg/m2) as well as maize above-ground biomass (R2=0.97, RMSE=0.12 kg/m2) with considerable high accuracy. The proposed approach offers opportunities for contiguous crop growth monitoring as well as biomass and yield modelling.
Year of Publication
Conference Name
Dreiländertagung 2019 Photogrammetrie, Fernerkundung und Geoinformation
Date Published
Dreiländertagung 2019 Photogrammetrie, Fernerkundung und Geoinformation
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