Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models

Leaf area index (LAI) is an important indicator of plant growth and yield that can be monitored by remote sensing. Several models were constructed using datasets derived from SRS and STR sampling methods to determine the optimal model for soybean (multiple strains) LAI inversion for the whole crop g...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Switzerland), 2017-04, Vol.9 (4), p.309
Hauptverfasser:	Yuan, Huanhuan, Yang, Guijun, Li, Changchun, Wang, Yanjie, Liu, Jiangang, Yu, Haiyang, Feng, Haikuan, Xu, Bo, Zhao, Xiaoqing, Yang, Xiaodong
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Chlorophyll Crop growth Crop yield Crops Datasets Detection Estimation Leaf area Leaf area index Learning theory Least squares method Leaves Neural networks Optimization Plant growth Regression analysis Remote monitoring Remote sensing Sampling Sampling methods Soybeans Stability Support vector machines Unmanned aerial vehicles
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