DocumentCode :
2665375
Title :
Regional yield prediction for winter wheat based on crop biomass estimation using multi-source data
Author :
Ren, Jianqiang ; Li, Su ; Chen, Zhongxin ; Zhou, Qingbo ; Tang, Huajun
Author_Institution :
Minist. of Agric., Beijing
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
805
Lastpage :
808
Abstract :
Crop yield data is a key indicator for national food security and sustainable development of society. Winter wheat is one of the most important main crops and Huanghuaihai Plain is the most important productive region in North China. So, the authors had a research on regional yield prediction for winter wheat based on crop biomass estimation using multi-source data in the Plain. In this paper, the quantitative relationship between crop biomass and yield was mainly used to estimate crop yield. The total crop biomass is cumulative biomass in the critical crop growth stages which are significant to final yield. Crop biomass was calculated by net primary production (NPP) model. Then NPP was converted into crop biomass considering factors such as carbon content of winter wheat, harvest index (HI), water content of grain, etc. When NPP was calculated, the model: NPP=epsiv* fPAR * PAR was used. The photosynthetically active radiation (PAR, 400-700 nm) was calculated using ultraviolet (UV) reflectance data at 370 nm which came from the total ozone mapping spectrometer (TOMS). The fraction of photosynthetically active radiation (fPAR) could be retrieved from MODIS NDVI imagery using linear regression between fPAR and NDVI. The biological conversion efficiency of dry matter (epsiv) was calculated depending on relationship between epsiv and its affecting factors such as average temperature, rainfall and relative moisture of soil. Finally, the method and established relationships were applied in a larger region. Through validation, the absolute mean error of estimated yield was 232.7 kg.ha-1 and relative error of estimated yield was 4.28%. Judged from the results of validation, the method based on crop biomass estimation using multi-source data was effective and practical in yield estimation of winter wheat in a larger region.
Keywords :
atmospheric temperature; crops; moisture; rain; soil; vegetation mapping; Huanghuaihai Plain; Moderate Resolution Imaging Spectroradiometer; Normalized Difference Vegetation Index; North China; TOMS; Total Ozone Mapping Spectrometer; atmospheric temperature; biological conversion; carbon content; crop biomass estimation; crop growth stages; grain water content; harvest index; multisource data; national food security; net primary production model; photosynthetically active radiation; rainfall; regional crop yield prediction; soil moisture; sustainable development; ultraviolet reflectance data; winter wheat; Biomass; Crops; Data security; Image retrieval; National security; Production; Reflectivity; Spectroscopy; Sustainable development; Yield estimation; MODIS; NPP; PAR; TOMS; biomass; fPAR; remote sensing; winter wheat; yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4422919
Filename :
4422919
Link To Document :
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