Title :
Wheat yield estimation in Russia with modis time-series data based on light use efficiency model
Author :
Xin Du ; Jihua Meng ; Savin, Igor ; Qiangzi Li
Author_Institution :
Inst. of Remote Sensing Applic., Beijing, China
Abstract :
Wheat yield estimation in this paper is based on the above ground biomass estimation. The model of above ground biomass estimation requires satellite data, which express the vegetation status. The model was applied in Russia where winter wheat is widely grown. The results showed a high accuracy in estimating winter wheat yield. The range of fractional differences between estimated and observed yields is between -0.40 and 0.50 in 2011, and 83% of the fractional differences are between -0.30 and 0.30. When this method is used in large areas, parameters calibration is crucial. We also summarize that in future study, high resolution images, meteorological factors retrieved by remote sensing data and more field observed data should be used to improve the method.
Keywords :
remote sensing; vegetation; MODIS time-series data; Russia; ground biomass estimation; light use efficiency model; meteorological factors; remote sensing data; satellite data; vegetation status; wheat yield estimation; winter wheat yield; Agriculture; Biological system modeling; Biomass; MODIS; Nitrogen; Remote sensing; Satellites; Russia; biomass; wheat; yield;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723418