Quantitative modelling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data

International Journal of Remote Sensing

Volumn 38, Issue 8-10, 2017, Pages 2117-2134

  Liu, Haiying ^a   Zhu, Hongchun ^a   Wang, Ping ^a  

^a SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; BACKPROPAGATION; CROPS; LINEAR REGRESSION; NEURAL NETWORKS; NITROGEN;

BACK PROPAGATION NEURAL NETWORKS; DIFFERENT GROWTH STAGES; HYPERSPECTRAL MODELS; LEAF NITROGEN CONTENT; MULTIPLE LINEAR REGRESSIONS; SPECTRAL CORRELATION; STATISTICAL REGRESSION; STATISTICAL REGRESSION MODEL;

UNMANNED AERIAL VEHICLES (UAV);

AIRCRAFT; LEAF; MODELING; MULTISPECTRAL IMAGE; NITROGEN; QUANTITATIVE ANALYSIS; UNMANNED VEHICLE; WHEAT;

TRITICUM AESTIVUM;

EID: 84994829884     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2016.1253899     Document Type: Article

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