Xiao-yu Song

Field crops research (Print) · 2013–2020

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Xiao-yu Song's perspective

Ordered by how strongly the researchers Xiao-yu Song trusts endorse each paper. Same corpus, a different order for every researcher.

1. Advantages of Hierarchical Linear Modeling.
2. Hierarchical Modeling and Analysis for Spatial Data
3. An introduction to hierarchical linear modeling
4. Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery
5. A review of data assimilation of remote sensing and crop models
6. Hierarchical Linear Modeling: Guide and Applications
7. Using hierarchical linear modeling to investigate the moderating influence of leadership climate
8. Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis
9. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode.
10. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method

Their papers

• A hierarchical interannual wheat yield and grain protein prediction model using spectral vegetative indices and meteorological data (2020) — 59 citations
• Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements (2014) — 182 citations
• Estimation of Leaf Water Content in Winter Wheat Using Grey Relational Analysis-Partial Least Squares Modeling with Hyperspectral Data (2013) — 47 citations