How Do Methods Assimilating Sentinel-2-Derived LAI Combined with Two Different Sources of Soil Input Data Affect the Crop Model-Based Estimation of Wheat Biomass at Sub-Field Level?

How Do Methods Assimilating Sentinel-2-Derived LAI Combined with Two Different Sources of Soil Input Data Affect the Crop Model-Based Estimation of Wheat Biomass at Sub-Field Level?

The combination of Sentinel-2 derived information about sub-field heterogeneity of crop canopy leaf area index (LAI) and SoilGrids-derived information about local soil properties might help to improve the prediction accuracy of crop simulation models at sub-field level without prior knowledge of det...

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Bibliographic Details
Main Authors: Andreas Tewes, Holger Hoffmann, Manuel Nolte, Gunther Krauss, Fabian Schäfer, Christian Kerkhoff, Thomas Gaiser
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
data assimilation
leaf area index
crop modeling
soilgrids
weighted mean
ensemble kalman filter
sentinel-2
Online Access:https://www.mdpi.com/2072-4292/12/6/925

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