Valerie A. Thomas

Orcid: 0000-0003-2189-6013

According to our database1, Valerie A. Thomas authored at least 19 papers between 2012 and 2023.

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

Timeline

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Bibliography

2023
Multi-Path Fusion: A Hierarchical Machine Learning Approach for Combining Diverse Data Sets for a Forest Monitoring New Observing System.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Assessment of Canopy Health with Drone-Based Orthoimagery in a Southern Appalachian Red Spruce Forest.
Remote. Sens., 2022

Assessing the utility of NAIP digital aerial photogrammetric point clouds for estimating canopy height of managed loblolly pine plantations in the southeastern United States.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Estimation of mean dominant height using NAIP digital aerial photogrammetry and lidar over mixed deciduous forest in the southeastern USA.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2020
Estimating tree canopy cover using harmonic regression coefficients derived from multitemporal Landsat data.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Cloud detection algorithm using SVM with SWIR2 and tasseled cap applied to Landsat 8.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Trend Detection for the Extent of Irrigated Agriculture in Idaho's Snake River Plain, 1984-2016.
Remote. Sens., 2018

Using Window Regression to Gap-Fill Landsat ETM+ Post SLC-Off Data.
Remote. Sens., 2018

2017
Erratum: Chance, E.W., et al. Identifying Irrigated Areas in the Snake River Plain, Idaho: Evaluating Performance across Compositing Algorithms, Spectral Indices, and Sensors. <i>Remote Sens.</i> 2017, <i>9</i>, 546.
Remote. Sens., 2017

Identifying Irrigated Areas in the Snake River Plain, Idaho: Evaluating Performance across Composting Algorithms, Spectral Indices, and Sensors.
Remote. Sens., 2017

Scaling constituent algorithms of a trend and change detection polyalgorithm.
Proceedings of the 25th High Performance Computing Symposium, Virginia Beach, VA, USA, April 23, 2017

2015
An LUT-Based Inversion of DART Model to Estimate Forest LAI from Hyperspectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Cloud-Sourcing: Using an Online Labor Force to Detect Clouds and Cloud Shadows in Landsat Images.
Remote. Sens., 2015

Prediction of Canopy Heights over a Large Region Using Heterogeneous Lidar Datasets: Efficacy and Challenges.
Remote. Sens., 2015

Prediction of Macronutrients at the Canopy Level Using Spaceborne Imaging Spectroscopy and LiDAR Data in a Mixedwood Boreal Forest.
Remote. Sens., 2015

2014
On-the-Fly Massively Multitemporal Change Detection Using Statistical Quality Control Charts and Landsat Data.
IEEE Trans. Geosci. Remote. Sens., 2014

2013
Investigating the Utility of Wavelet Transforms for Inverting a 3-D Radiative Transfer Model Using Hyperspectral Data to Retrieve Forest LAI.
Remote. Sens., 2013

2012
Fitting the Multitemporal Curve: A Fourier Series Approach to the Missing Data Problem in Remote Sensing Analysis.
IEEE Trans. Geosci. Remote. Sens., 2012

Combined Use of Airborne Lidar and DBInSAR Data to Estimate LAI in Temperate Mixed Forests.
Remote. Sens., 2012


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