A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy

Jibo Yue(Henan Agricultural University), Zhenhai Li(Shandong University of Science and Technology), Guijun Yang(First People's Hospital of Chongqing), Haikuan Feng(Ministry of Agriculture and Rural Affairs)
Remote Sensing
January 5, 2018
10.3390/rs10010066
Cited by 198

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
Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models
|Remote Sensing|2017|358
A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera
|Remote Sensing|2018|181