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Integrating Remotely Sensed and Meteorological Observations to Forecast Wheat Powdery Mildew at a Regional Scale.

J. Zhang, R. Pu, L. Yuan, W. Huang, C. Nie, and G. Yang. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (11): 4328-4339 (2014)

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Xiliu Yang University of Stuttgart

Yang Wang University of Stuttgart

Guangpu Yang University of Stuttgart

Hsiu-Yu Yang University of Stuttgart

Peihan Yang University of Stuttgart

Other publications of authors with the same name

Research on FPAR vertical distribution in different variety maize canopy.R. Liu, W. Huang, H. Ren, G. Yang, J. Wang, and X. Li. IGARSS, page 2745-2748. IEEE, (2011)Integrating a very fast simulated annealing optimization algorithm for crop leaf area index variational assimilation.Y. Dong, C. Zhao, G. Yang, L. Chen, J. Wang, and H. Feng. Mathematical and Computer Modelling, 58 (3-4): 877-885 (2013)A Bayesian Network Model for Yellow Rust Forecasting in Winter Wheat.X. Yang, C. Nie, J. Zhang, H. Feng, and G. Yang. CCTA (1), volume 545 of IFIP Advances in Information and Communication Technology, page 65-75. Springer, (2017)Estimation of Leaf Nitrogen Content of Winter Wheat Based on Akaike's Information Criterion.H. Pei, H. Feng, F. Yang, Z. Li, G. Yang, and Q. Niu. CCTA (2), volume 546 of IFIP Advances in Information and Communication Technology, page 231-240. Springer, (2017)Comparison of Remote Sensing Estimation Methods for Winter Wheat Leaf Nitrogen Content.C. Zhang, F. Tang, H. Li, G. Yang, H. Feng, and C. Liu. CCTA (2), volume 546 of IFIP Advances in Information and Communication Technology, page 173-184. Springer, (2017)Height and Biomass Inversion of Winter Wheat Based on Canopy Height Model.H. Feng, L. Pan, F. Yang, H. Pei, H. Wang, G. Yang, M. Liu, and Z. Wu. IGARSS, page 7711-7714. IEEE, (2018)Recognition of Wheat Spike from Field Based Phenotype Platform Using Multi-Sensor Fusion and Improved Maximum Entropy Segmentation Algorithms.C. Zhou, D. Liang, X. Yang, B. Xu, and G. Yang. Remote Sensing, 10 (2): 246 (2018)Estimating Wheat Yield in China at the Field and District Scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models.P. Silvestro, S. Pignatti, S. Pascucci, H. Yang, Z. Li, G. Yang, W. Huang, and R. Casa. Remote Sensing, 9 (5): 509 (2017)Integrating Remotely Sensed and Meteorological Observations to Forecast Wheat Powdery Mildew at a Regional Scale.J. Zhang, R. Pu, L. Yuan, W. Huang, C. Nie, and G. Yang. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (11): 4328-4339 (2014)Effect of Vertical Distribution of Crop Structure and Biochemical Parameters of Winter Wheat on Canopy Reflectance Characteristics and Spectral Indices.C. Zhao, H. Li, P. Li, G. Yang, X. Gu, and Y. Lan. IEEE Trans. Geoscience and Remote Sensing, 55 (1): 236-247 (2017)

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Disambiguation of "Yang, Guijun"

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Integrating Remotely Sensed and Meteorological Observations to Forecast Wheat Powdery Mildew at a Regional Scale.

Please choose a person to relate this publication to

Xiliu Yang University of Stuttgart

Yang Wang University of Stuttgart

Guangpu Yang University of Stuttgart

Hsiu-Yu Yang University of Stuttgart

Peihan Yang University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Yang, Guijun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Integrating Remotely Sensed and Meteorological Observations to Forecast Wheat Powdery Mildew at a Regional Scale.

Please choose a person to relate this publication to

Xiliu Yang University of Stuttgart

Yang Wang University of Stuttgart

Guangpu Yang University of Stuttgart

Hsiu-Yu Yang University of Stuttgart

Peihan Yang University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Integrating Remotely Sensed and Meteorological Observations to Forecast Wheat Powdery Mildew at a Regional Scale.