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Physiological interpretation of a hyperspectral time series in a citrus orchard
Hyperspectral remote sensing for monitoring horticultural production systems requires the underst...
J Stuckens, S Dzikiti, WW Verstraeten, S Verreynne, R Swinnen, P Coppin | Status: published | Journal: Agricultural and Forest Meteorology | Year: 2011 | First page: 1002 | Last page: 1015 | doi: 10.1016/j.agrformet.2011.03.006
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Internal variability of the wind-driven ocean circulation
The ocean circulation is known to vary on a multitude of time and spatial scales.
Due to the larg...
CA Katsman | University: Utrecht | Year: 2001
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Development of the KNMI Operational Data Center
KNMI provides weather, climate and seismological datasets to a varied group of customers. The num...
WJ Som de Cerff, F van der Wel, J van de Vegte, IA van der Neut, M van der Hoeven | Conference: 11th EC-GI&GIS Workshop, ESDI Setting the Framework | Organisation: Institute for Environment and Sustainability (IES) | Place: Alghero, Sardinia | First page: 38 | Last page: 41
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Tropospheric mercury vertical profiles between 500 and 10 000 m in central Europe
The knowledge of the vertical distribution of atmospheric mercury (Hg) plays an important role in...
A Weigelt, R Ebinghaus, N Pirrone, J Bieser, J Bodewadt, G Esposito, F Slemr, PFJ van Velthoven, A Zahn, H Ziereis | Status: published | Journal: Atm. Chem. Phys. | Year: 2016 | First page: 4135 | Last page: 4146 | doi: 10.5194/acp-16-4135-2016
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Time series transformation tool: development and use in CCsP projects
Parallel to the development of the KNMI’06 climate scenarios in 2006, a tool was developed to
gen...
J Bessembinder, A Bakker, R Leander, A Feijt | Year: 2011
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