Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression
Xinchuan Li(Hohai University), Guijun Yang(National Engineering Research Center for Information Technology in Agriculture), Xingang Xu(National Engineering Research Center for Information Technology in Agriculture), Xiuliang Jin(Northeast Institute of Geography and Agroecology), Juhua Luo(Changzhou University), Xiaoyu Song(Chinese Academy of Sciences), Yansong Bao(China Meteorological Administration), Youjing Zhang(Hohai University)
Cited by 141
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
How is water-use efficiency of terrestrial ecosystems distributed and changing on Earth?
|Scientific Reports|2014|283