
Wu Shangrong
Associcate Professor
M.sc Supervisor
Innovation Team of Smart Agriculture,IARRP,CAAS
Contact
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Email:
wushangrong@caas.cn
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Tel:
86-13552886651
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Add:
Ziyuan Building,12 Zhongguancun Nandajie Street, Haidian District,Beijing,China
Research Interests
Remote sensing mapping
Crop parameter inversion
Crop yield simulation
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Soil moisture estimation based on the microwave scattering mechanism during different crop phenological periods in a winter wheat-producing region Soil moisture estimation based on the microwave scattering mechanism during different crop phenological periods in a winter wheat-producing region download
Journal of Hydrology
2020|Journal Article
DOI: 10.1016/j.jhydrol.2020.125521
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Evaluation of Winter Wheat Yield Simulation Based on Assimilating LAI Retrieved From Networked Optical and SAR Remotely Sensed Images Into the WOFOST Model Evaluation of Winter Wheat Yield Simulation Based on Assimilating LAI Retrieved From Networked Optical and SAR Remotely Sensed Images Into the WOFOST Model download
IEEE Transactions on Geoscience and Remote Sensing
2020|Journal Article
DOI: 10.1109/TGRS.2020.3038205
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Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model download
Remote Sensing of Environment
2018|Journal Article
DOI: 10.1016/j.rse.2018.03.015
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Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model Winter wheat LAI inversion considering morphological characteristics at different growth stages coupled with microwave scattering model and canopy simulation model download
Remote Sensing of Environment
2020|Journal Article
DOI: 10.1016/j.rse.2020.111681
- IARRP team publish overview of agricultural SAR quantitative remote sensing (2024-11-21)
- IARRP team proposes new method for estimating crop yield by considering the non-foliar green organs (2024-10-29)
- IARRP scientists propose a novel remote sensing data assimilation algorithm for regional yield estimation (2021-01-21)
- IARRP-UCL Newton Fund Project Wins 2019 Newton Prize Chair’s Award (2020-02-14)