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Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery.

H. Ma, W. Huang, Y. Jing, C. Yang, L. Han, Y. Dong, H. Ye, Y. Shi, Q. Zheng, L. Liu, and C. Ruan. Remote Sensing, 11 (7): 846 (2019)

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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

Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements.X. Song, G. Yang, C. Yang, J. Wang, and B. Cui. Remote Sensing, 9 (3): 237 (2017)Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery.H. Ma, W. Huang, Y. Jing, C. Yang, L. Han, Y. Dong, H. Ye, Y. Shi, Q. Zheng, L. Liu and 1 other author(s). Remote Sensing, 11 (7): 846 (2019)Crop Classification and LAI Estimation Using Original and Resolution-Reduced Images from Two Consumer-Grade Cameras.J. Zhang, C. Yang, B. Zhao, H. Song, W. Hoffmann, Y. Shi, D. Zhang, and G. Zhang. Remote Sensing, 9 (10): 1054 (2017)Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification.X. Zhao, J. Zhang, C. Yang, H. Song, Y. Shi, X. Zhou, D. Zhang, and G. Zhang. Remote Sensing, 10 (5): 663 (2018)Evaluation of an Airborne Remote Sensing Platform Consisting of Two Consumer-Grade Cameras for Crop Identification.J. Zhang, C. Yang, H. Song, W. Hoffmann, D. Zhang, and G. Zhang. Remote Sensing, 8 (3): 257 (2016)Applying spectral unmixing and support vector machine to airborne hyperspectral imagery for detecting giant reed.C. Yang, J. Goolsby, J. Everitt, and Q. Du. IGARSS, page 3664-3667. IEEE, (2011)Airborne hyperspectral image analysis for grain sorghum yield variability mapping.Q. Du, C. Yang, and J. Everitt. IGARSS, page 2991-2993. IEEE, (2005)Citrus pest stress monitoring using airborne hyperspectral imagery.Q. Du, J. French, M. Skaria, C. Yang, and J. Everitt. IGARSS, page 3981-3984. IEEE, (2004)Spectral Heterogeneity Predicts Local-Scale Gamma and Beta Diversity of Mesic Grasslands.H. Polley, C. Yang, B. Wilsey, and P. Fay. Remote Sensing, 11 (4): 458 (2019)An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing.C. Yang, J. Westbrook, C. Suh, D. Martin, W. Hoffmann, Y. Lan, B. Fritz, and J. Goolsby. Remote Sensing, 6 (6): 5257-5278 (2014)

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Disambiguation of "Yang, Chenghai"

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URL
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Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery.

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, Chenghai"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery.

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
Harvard
MSOffice XML

Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery.