Gustavious P. Williams

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 24

Top Topics

Data Imputation

Viterbi Algorithm

Top Venues

Environ. Model. Softw.

Publications

Kel N. Markert, Gustavious P. Williams, E. James Nelson, Daniel P. Ames, Hyongki Lee, Robert E. Griffin
Dense Time Series Generation of Surface Water Extents through Optical-SAR Sensor Fusion and Gap Filling. Remote. Sens. 16 (7) (2024)
Kel N. Markert, Gui da Silva, Daniel P. Ames, Iman Maghami, Gustavious P. Williams, E. James Nelson, James Halgren, Arpita Patel, Adler Santos, Michael J. Ames
Design and implementation of a BigQuery dataset and application programmer interface (API) for the U.S. National Water Model. Environ. Model. Softw. 179 (2024)
Sergio A. Barbosa, Norman L. Jones, Gustavious P. Williams, Bako Mamane, Jamila Begou, E. James Nelson, Daniel P. Ames
Exploiting Earth Observations to Enable Groundwater Modeling in the Data-Sparse Region of Goulbi Maradi, Niger. Remote. Sens. 15 (21) (2023)
Anna Catherine Cardall, Riley Hales, Kaylee Brook Tanner, Gustavious P. Williams, Kel N. Markert
LASSO (L1) Regularization for Development of Sparse Remote-Sensing Models with Applications in Optically Complex Waters Using GEE Tools. Remote. Sens. 15 (6) (2023)
Sergio A. Barbosa, Sarva T. Pulla, Gustavious P. Williams, Norman L. Jones, Bako Mamane, Jorge L. Sanchez
Correction: Barbosa et al. Evaluating Groundwater Storage Change and Recharge Using GRACE Data: A Case Study of Aquifers in Niger, West Africa. Remote Sens. 2022, 14, 1532. Remote. Sens. 15 (5) (2023)
Kaylee Brook Tanner, Anna Catherine Cardall, Gustavious P. Williams
A Spatial Long-Term Trend Analysis of Estimated Chlorophyll-a Concentrations in Utah Lake Using Earth Observation Data. Remote. Sens. 14 (15) (2022)
Saul G. Ramirez, Gustavious P. Williams, Norman L. Jones
Groundwater Level Data Imputation Using Machine Learning and Remote Earth Observations Using Inductive Bias. Remote. Sens. 14 (21) (2022)
Saul G. Ramirez, Riley Hales, Gustavious P. Williams, Norman L. Jones
Extending SC-PDSI-PM with neural network regression using GLDAS data and Permutation Feature Importance. Environ. Model. Softw. 157 (2022)
Sergio A. Barbosa, Sarva T. Pulla, Gustavious P. Williams, Norman L. Jones, Bako Mamane, Jorge L. Sanchez
Evaluating Groundwater Storage Change and Recharge Using GRACE Data: A Case Study of Aquifers in Niger, West Africa. Remote. Sens. 14 (7) (2022)
Rohit Khattar, Riley Hales, Daniel P. Ames, E. James Nelson, Norman L. Jones, Gustavious P. Williams
Tethys App Store: Simplifying deployment of web applications for the international GEOGloWS initiative. Environ. Model. Softw. 146 (2021)
Izaak Cooper, Rollin H. Hotchkiss, Gustavious P. Williams
Extending Multi-Beam Sonar with Structure from Motion Data of Shorelines for Complete Pool Bathymetry of Reservoirs. Remote. Sens. 13 (1) (2021)
Steven Evans, Gustavious P. Williams, Norman L. Jones, Daniel P. Ames, E. James Nelson
Exploiting Earth Observation Data to Impute Groundwater Level Measurements with an Extreme Learning Machine. Remote. Sens. 12 (12) (2020)
Steven Evans, Norman L. Jones, Gustavious P. Williams, Daniel P. Ames, E. James Nelson
Groundwater Level Mapping Tool: An open source web application for assessing groundwater sustainability. Environ. Model. Softw. 131 (2020)
Xiaohui Qiao, E. James Nelson, Daniel P. Ames, Zhiyu Li, Cédric H. David, Gustavious P. Williams, Wade Roberts, Jorge Luis Sánchez Lozano, Chris Edwards, Michael Souffront, Mir A. Matin
A systems approach to routing global gridded runoff through local high-resolution stream networks for flood early warning systems. Environ. Model. Softw. 120 (2019)
Elise K. Jackson, Wade Roberts, Benjamin Nelsen, Gustavious P. Williams, E. James Nelson, Daniel P. Ames
Introductory overview: Error metrics for hydrologic modelling - A review of common practices and an open source library to facilitate use and adoption. Environ. Model. Softw. 119 (2019)
D. Alexandra Williams, Benjamin Nelsen, Candace Berrett, Gustavious P. Williams, Todd K. Moon
A comparison of data imputation methods using Bayesian compressive sensing and Empirical Mode Decomposition for environmental temperature data. Environ. Model. Softw. 102 (2018)
Carly Hyatt Hansen, Steven J. Burian, Philip E. Dennison, Gustavious P. Williams
Spatiotemporal Variability of Lake Water Quality in the Context of Remote Sensing Models. Remote. Sens. 9 (5) (2017)
David A. Neal, Toff K. Moon, Jacob H. Gunther, Gustavious P. Williams
Performance of maximum likelihood temperature/emissivity separation of hyperspectral images with correlated Gaussian downwelling radiance. ACSSC (2016)
McKay E. Bonham, Todd K. Moon, Jacob H. Gunther, Gustavious P. Williams
Excision of a discontinuous-frequency interference signal with harmonic structure. ACSSC (2015)
Todd K. Moon, McKay E. Bonham, Jacob H. Gunther, Gustavious P. Williams
Coherent combination of signals from diverse sensors. SP/SPE (2015)
Nathan R. Swain, Kilisimasi Latu, Scott D. Christensen, Norman L. Jones, E. James Nelson, Daniel P. Ames, Gustavious P. Williams
A review of open source software solutions for developing water resources web applications. Environ. Model. Softw. 67 (2015)
Todd K. Moon, Jacob H. Gunther, Gustavious P. Williams
Extracting the fundamental frequency of a nonlinear chirp signal with modulated harmonic structure using ML, target tracking, and the Viterbi algorithm. SP/SPE (2015)
Todd K. Moon, David A. Neal, Jacob H. Gunther, Gustavious P. Williams
Temperature emissivity separation: Estimation with a parameter affecting both the mean and variance of the observation. SP/SPE (2015)
David A. Neal, Todd K. Moon, Jacob H. Gunther, Gustavious P. Williams
Correlated maximum likelihood temperature/emissivity separation of hyperspectral images. ACSSC (2015)
Candace Berrett, Gustavious P. Williams, Todd K. Moon, Jacob H. Gunther
A Bayesian Nonparametric Model for Temperature-Emissivity Separation of Long-Wave Hyperspectral Images. Technometrics 56 (2) (2014)
Matthew Stites, Jacob H. Gunther, Todd K. Moon, Gustavious P. Williams
Using Physically-Modeled Synthetic Data to Assess Hyperspectral Unmixing Approaches. Remote. Sens. 5 (4) (2013)
Jake Gunther, Todd K. Moon, Matt Stites, Gustavious P. Williams
Separating temperature, emissivity and downwelling radiance in thermal infrared pure-pixel hyperspectral images. ACSSC (2013)
Todd K. Moon, Jacob H. Gunther, Candace Berrett, Gustavious P. Williams
Hierarchical Bayesian sparse source separation of hyperspectral signals. ACSSC (2013)
Andrew Pound, Jacob H. Gunther, Todd K. Moon, Gustavious P. Williams
A framework for dictionary learning based hyperspectral pixel classification. ACSCC (2012)
Dustin Rawlings, Jacob H. Gunther, Todd K. Moon, Gustavious P. Williams
Extracting atmospheric profiles from hyperspectral data using particle filters. ACSCC (2012)
Cameron S. Grant, Todd K. Moon, Jake Gunther, Matthew Stites, Gustavious P. Williams
Detection of Amorphously Shaped Objects Using Spatial Information Detection Enhancement (SIDE). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (2) (2012)
Todd K. Moon, Cameron S. Grant, Jacob H. Gunther, Gustavious P. Williams
A neighborhood model for detection in hyperspectral images. ACSCC (2008)