Title
Incorporating Yearly Derived Winter Wheat Maps Into Winter Wheat Yield Forecasting Model
Abstract
Wheat is one of the most important cereal crops in the world. Timely and accurate forecast of wheat yield and production at global scale is vital in implementing food security policy. Becker-Reshef et al. (2010) developed a generalized empirical model for forecasting winter wheat production using remote sensing data and official statistics. This model was implemented using static wheat maps. In this paper, we analyze the impact of incorporating yearly wheat masks into the forecasting model. We propose a new approach of producing in season winter wheat maps exploiting satellite data and official statistics on crop area only. Validation on independent data showed that the proposed approach reached 6% to 23% of omission error and 10% to 16% of commission error when mapping winter wheat 2-3 months before harvest. In general, we found a limited impact of using yearly winter wheat masks over a static mask for the study regions.
Year
DOI
Venue
2016
10.1109/IGARSS.2016.7730869
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Keywords
Field
DocType
Winter wheat, prediction, crop mapping, MODIS
Meteorology,Data modeling,Official statistics,Computer science,Agriculture,Satellite data,Food security
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
5
7