Samuel Buis

Orcid: 0000-0002-8676-5447

According to our database1, Samuel Buis authored at least 12 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A calibration protocol for soil-crop models.
Environ. Model. Softw., 2024

2021
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise.
Environ. Model. Softw., 2021

Cluster-based GSA: Global sensitivity analysis of models with temporal or spatial outputs using clustering.
Environ. Model. Softw., 2021

2019
A filter-based approach for global sensitivity analysis of models with functional inputs.
Reliab. Eng. Syst. Saf., 2019

2018
Monitoring Evapotranspiration with Remote Sensing Data and Ground Data Using Ensemble Model Averaging.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation.
Environ. Model. Softw., 2016

2015
Accuracy, robustness and behavior of the STICS soil-crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France.
Environ. Model. Softw., 2015

2012
Near-real time estimates of leaf area index from AVHRR time series data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
A package of parameter estimation methods and implementation for the STICS crop-soil model.
Environ. Model. Softw., 2011

2010
Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model.
Environ. Model. Softw., 2010

2008
Global Sensitivity Analysis (GSA) Measures the Quality of Parameter Estimation. Case of Soil Parameter Estimation with a Crop Model.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2006
PALM: a computational framework for assembling high-performance computing applications.
Concurr. Comput. Pract. Exp., 2006


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