Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
Jibo Yue(Harbin Medical University), Chengquan Zhou(National Engineering Research Center for Information Technology in Agriculture), Kaijian Xu(Nanjing University), Guijun Yang(National Engineering Research Center for Information Technology in Agriculture), Qingjiu Tian(Nanjing University), Haikuan Feng(National Engineering Research Center for Information Technology in Agriculture)
Cited by 408
Related Papers
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
|Frontiers in Plant Science|2017|736
A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform
|Plant Science|2018|381
Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models
|Remote Sensing|2017|358