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001-es BibID:	BIBFORM074006
Első szerző:	Nagy Attila (környezetgazdálkodási agrármérnök)
Cím:	Wheat and maize yield forecasting for the Tisza river catchment using MODIS NDVI time series and reported crop statistics / Nagy Attila, Fehér János, Tamás János
Dátum:	2018
ISSN:	0168-1699
Megjegyzések:	Stakeholders, policy makers, government planners and agricultural market participants in Central Eastern Europe require accurate and timely information about wheat and maize yield and production. The study site, the lowlands (altitude below 200m) of the Tisza river catchment is by far the most important wheat and corn producing region in the Carpathian basin, and even in Central Eastern Europe. The conventional sampling of on-field data and data processing for crop forecasting requires significant amounts of time before official reports can be released. Several studies have shown that wheat and maize yield can be effectively forecast using satellite remote sensing. In this study, a freely available MODIS NDVI satellite data based wheat and maize yield forecasting methodology was developed and evaluated for estimating yield losses effected by drought. Wheat and maize yield was derived by regressing reported yield values against time series of 15 different peak-season MODIS-derived NDVI. The lowest RMSE values at the river basin level for both wheat and maize yield forecast versus reported yield were found when using at least six or more years of training data. Wheat forecast for the 2000 to 2015 growing seasons were within 0.819 % and 19.08% of final reported yield values. Maize forecast at county level for the 2000 to 2015 growing seasons were within 0.299 % and 17.14% of final reported yield values. The Nash?Sutcliffe efficiency index (E1) is positive with E1 = 0.322 in the case of wheat forecast, and with E1=0.401 in the case of maize forecast, which means the developed and evaluated forecasting method performs acceptable forecast efficiency. Nevertheless the occurrence of extreme drought or extreme precipitation can alter the forecasting efficiency resulting over or underestimation. Overall statement, which based on MODIS NDVI, possible yield losses can easily be forecasted 6-8 weeks before harvesting and applying simple threshold levels, yield losses can be mapped simply.
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:	Computers And Electronics In Agriculture 151 (2018), p. 41-49. -
További szerzők:	Fehér János (1952-) (hidrológus) Tamás János (1959-) (környezetgazdálkodási agrármérnök)
Pályázati támogatás:	A tanulmány alapjául szolgáló kutatást az Emberei Erőforrások Minisztériuma által meghirdetett Felsőoktatási Intézményi Kiválósági Program támogatta, a Debreceni Egyetem 4.tématerületi programja keretében Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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