Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China

By Jianqiang Ren, Zhongxin Chen, Qingbo Zhou, Huajun Tang. International Journal of Applied Earth Observation and Geoinformation, 2008

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RELIABILITY OF NDVI DERIVED BY HIGH RESOLUTION SATELLITE AND UAV COMPARED TO IN-FIELD METHODS FOR THE EVALUATION OF EARLY CROP N STATUS AND GRAIN YIELD IN WHEAT (2017, background): “This depends from the fact that the robustness and sensitivity of NDVI depends not only on vegetation red/infrared ratio related to greenness but also on ground cover by the canopy (Ren et al., 2008).”
A comprehensive drought monitoring method integrating MODIS and TRMM data (2013, background): “The annual average temperature is 11–14 ◦C and the annual precipitation is 550–950 mm. Shandong province is an important agricultural province in China and the dominant crops are winter wheat (Triticum aestivum L.) and summer maize (Zea mays L.) planted in rotation (Ren et al., 2008).”
Prediction of rice crop yield using MODIS EVI−LAI data in the Mekong Delta, Vietnam (2013, methodology): “Because the spectral indices have significant correlation with crop biomass, simple linear regression models using a spectral index are often used to predict crop yield before harvest (Ren et al. 2008; Bala and Islam 2009; Mkhabela et al. 2011; Labus et al. 2002; Hayes and Decker 1998).”