[Prediction of winter wheat yield based on crop biomass estimation at regional scale].
Based on the 2004 in situ data of crop yield, remote sensing inversed photosynthetically active radiation (PAR), fraction of photosynthetically active radiation (f(PAR)), climate, and soil moisture in 83 typical winter wheat sampling field of 45 counties in Shijiazhuang, Hengshui, and Xingtai of Hebei Province, a simplified model for calculating the light use efficiency (epsilon) of winter wheat in Huanghuaihai Plain was established. According to the crop accumulated biomass from March to May and corrected by harvest index, the quantitative relationship between crop biomass and crop yield for winter wheat was set up, and applied in the 235 counties in Huanghuaihai Plain region of Hebei Province and Shandong Province and validated by the official crop statistical data at county level in 2004. The results showed that the root mean square error (RMSE) of predicted winter wheat yield in study area was 238.5 kg x hm(-2), and the relative error was 4.28%, suggesting that it was feasible to predict winter wheat yield by crop biomass estimation based on remote sensing data.
Ren
Jian-Qiang
JQ
Key Laboratory of Resources Remote Sensing & Digital Agriculture, Ministry of Agriculture, Beijing 100081, China. hebjqren1975@126.com
Liu
Xing-Ren
XR
Chen
Zhong-Xin
ZX
Zhou
Qing-Bo
QB
Tang
Hua-Jun
HJ
D018533:Biomass; D005544:Forecasting; D008962:Models, Theoretical; D010788:Photosynthesis; D012621:Seasons; D014908:Triticum / Q000254:growth & development*; D014887:Weather