Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models

Jibo Yue(Harbin Medical University), Bo Xu(National Engineering Research Center for Information Technology in Agriculture), Guijun Yang(National Engineering Research Center for Information Technology in Agriculture), Zhenhai Li(National Engineering Research Center for Information Technology in Agriculture), Haikuan Feng(National Engineering Research Center for Information Technology in Agriculture), Yanjie Wang(Shanghai Jiao Tong University), Changchun Li(Henan Polytechnic University)
Remote Sensing
July 10, 2017
10.3390/rs9070708
Cited by 358

Related Papers

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
|Frontiers in Plant Science|2017|736
Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
|ISPRS Journal of Photogrammetry and Remote Sensing|2019|408
A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform
|Plant Science|2018|381
A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy
|Remote Sensing|2018|198
A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera
|Remote Sensing|2018|181