DOI: 10.1016/j.jag.2014.03.011
Scopus记录号: 2-s2.0-84904545240
论文题名: Yield estimation using SPOT-VEGETATION products: A case study of wheat in European countries
作者: Kowalik W ; , Dabrowska-Zielinska K ; , Meroni M ; , Raczka T ; U ; , de Wit A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 32, 期: 1 起始页码: 228
结束页码: 239
语种: 英语
英文关键词: Crop simulations models: European scale
; Remote sensing
; Wheat
; Yield fore casting
Scopus关键词: crop production
; crop yield
; least squares method
; NDVI
; numerical model
; remote sensing
; satellite data
; satellite imagery
; SPOT
; wheat
; yield response
; Finland
; Hungary
; Ireland
; Portugal
; Romania
; Spain
; Sweden
; Triticum aestivum
英文摘要: In the period 1999-2009 ten-day SPOT-VEGETATION products of the Normalized Difference Vegetation Index (NDVI) and Fraction of Absorbed Photo synthetically Active Radiation (FAPAR) at 1 km spatial resolution were used in order to estimate and forecast the wheat yield over Europe. The products were used together with official wheat yield statistics to fine-tune a statistical model for each NUTS2 region, based on the Partial Least Squares Regression (PLSR) method. This method has been chosen to construct the model in the presence of many correlated predictor variables (10-day values of remote sensing indicators) and a limited number of wheat yield observations. The model was run in two different modalities:the "monitoring mode", which allows for an overall yield assessment at the end of the growing season,and the "forecasting mode", which provides early and timely yield estimates when the growing seasonis on-going. Performances of yield estimation at the regional and national level were evaluated using across-validation technique against yield statistics and the estimations were compared with those of a reference crop growth model. Models based on either NDVI or FAPAR normalized indicators achieved similar results with a minimal advantage of the model based on the FAPAR product. Best modelling results were obtained for the countries in Central Europe (Poland, North-Eastern Germany) and also Great Britain. By contrast, poor model performances characterize countries as follows: Sweden, Finland, Ireland, Portugal,Romania and Hungary. Country level yield estimates using the PLSR model in the monitoring mode, andthose of a reference crop growth model that do not make use of remote sensing information showed comparable accuracies. The largest estimation errors were observed in Portugal, Spain and Finland for both approaches. This convergence may indicate poor reliability of the official yield statistics in these countries. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79726
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Institute of Geodesy and Cartography, Modzelewskiego 27, 02-679 Warsaw, Poland; Joint Research Center, Institute for Environment and Sustainability(IES), Via E. Fermi 2749, I-21027 Ispra(VA), Italy; Alterra Wageningen UR, P.O. Box 47, 6700 AA Wageningen, Netherlands
Recommended Citation:
Kowalik W,, Dabrowska-Zielinska K,, Meroni M,et al. Yield estimation using SPOT-VEGETATION products: A case study of wheat in European countries[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,32(1)