Genetic Operator-Based Particle Filter Combined with Markov Chain Monte Carlo for Data Assimilation in a Crop Growth Model

Practices for upscaling crop simulation models from field scale to large regions

(2020) V.S. Manivasagam et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Bayesian calibration of AquaCrop model for winter wheat by assimilating UAV multi-spectral images

(2019) Tianxiang Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

(2018) Peyman Abbaszadeh et al.   ADVANCES IN WATER RESOURCES

Irrigation Scheduling Optimization for Cotton Based on the AquaCrop Model

(2018) Fawen Li et al.   WATER RESOURCES MANAGEMENT

Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling

(2016) Hongxiang Yan et al.   ADVANCES IN WATER RESOURCES

Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato

(2016) Raphael Linker et al.   AGRICULTURAL WATER MANAGEMENT

Global sensitivity analysis and calibration of parameters for a physically-based agro-hydrological model

(2016) Xu Xu et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Intelligent Particle Filter and Its Application on Fault Detection of Nonlinear System

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Data assimilation to reduce uncertainty of crop model prediction with Convolution Particle Filtering

(2014) Yuting Chen et al.   ECOLOGICAL MODELLING

Estimation of Radiative Transfer Parameters from L-Band Passive Microwave Brightness Temperatures Using Advanced Data Assimilation

(2013) Carsten Montzka et al.   VADOSE ZONE JOURNAL

Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting

(2012) Caleb M. DeChant et al.   WATER RESOURCES RESEARCH

Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method

(2012) Hamid Moradkhani et al.   WATER RESOURCES RESEARCH

Particle Filter-based assimilation algorithms for improved estimation of root-zone soil moisture under dynamic vegetation conditions

(2010) Karthik Nagarajan et al.   ADVANCES IN WATER RESOURCES

Using AquaCrop to derive deficit irrigation schedules

(2010) S. Geerts et al.   AGRICULTURAL WATER MANAGEMENT

Soil properties estimation by inversion of a crop model and observations on crops improves the prediction of agro-environmental variables

(2010) Hubert Varella et al.   EUROPEAN JOURNAL OF AGRONOMY

Particle Markov chain Monte Carlo methods

(2010) Christophe Andrieu et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Global sensitivity analysis measures the quality of parameter estimation: The case of soil parameters and a crop model

(2009) Hubert Varella et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A New Evolutionary Particle Filter for the Prevention of Sample Impoverishment

(2009) Seongkeun Park et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal

(2009) Jun Qin et al.   JOURNAL OF GEOPHYSICAL RESEARCH

State and parameter estimation of hydrologic models using the constrained ensemble Kalman filter

(2009) Dingbao Wang et al.   WATER RESOURCES RESEARCH