Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices

Agricultural and Forest Meteorology

Volumn 260-261, Issue , 2018, Pages 300-320

  Kern, Anikó ^a   Barcza, Zoltán ^a,b   Marjanović, Hrvoje ^c   Árendás, Tamás ^d   Fodor, Nándor ^d   Bónis, Péter ^d   Bognár, Péter ^a   Lichtenberger, János ^a,d  

^a EÖTVÖS LORÁND UNIVERSITY   (Hungary)

^b CZECH UNIVERSITY OF LIFE SCIENCES PRAGUE   (Czech Republic)

^c CROATIAN FOREST RESEARCH INSTITUTE   (Croatia)

^d INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

Author keywords

Climate variability; Crop yield; MODIS NDVI; Remote sensing; Statistical modelling; Yield forecast

Indexed keywords

CANOLA; CLIMATE VARIATION; CROP YIELD; FORECASTING METHOD; HERB; HYDROLOGICAL MODELING; NDVI; REMOTE SENSING; SOIL WATER; VAPOR PRESSURE; WHEAT; WINTER; YIELD RESPONSE;

HUNGARY;

BRASSICA NAPUS; HELIANTHUS; TRITICUM AESTIVUM; ZEA MAYS;

EID: 85049311759     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2018.06.009     Document Type: Article

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