Raffaele Casa

Environmental Engineering · 2005–2020

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 17 citations into it

Whom Raffaele Casa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Edzer J. Pebesma
2. Wouter A. Dorigo
3. Bjørn-Helge Mevik

Papers from Raffaele Casa's perspective

Ordered by how strongly the researchers Raffaele Casa 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. A review of data assimilation of remote sensing and crop models
4. Comparison of airborne hyperspectral data and EO-1 Hyperion for mineral mapping (IEEE Transactions on Geoscience and Remote Sensing)
5. An introduction to hierarchical linear modeling
6. Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery
7. Hierarchical Linear Modeling: Guide and Applications
8. Using hierarchical linear modeling to investigate the moderating influence of leadership climate
9. Multivariable geostatistics in S: the gstat package (Computational Geosciences)
10. R: A language and environment for statistical computing.

Their papers

• A hierarchical interannual wheat yield and grain protein prediction model using spectral vegetative indices and meteorological data (2020) — 59 citations
• Estimation of soil properties at the field scale from satellite data: a comparison between spatial and non‐spatial techniques (2014) — 47 citations
• Forcing a wheat crop model with LAI data to access agronomic variables: Evaluation of the impact of model and LAI uncertainties and comparison with an empirical approach (2012) — 84 citations
• LAI retrieval from multiangular image classification and inversion of a ray tracing model (2005) — 49 citations