Andrew T. Hudak

Orcid: 0000-0001-7480-1458

According to our database1, Andrew T. Hudak authored at least 25 papers between 2007 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Terrestrial and Airborne Lidar to Quantify Shrub Cover for Canada Lynx (Lynx canadensis) Habitat Using Machine Learning.
Remote. Sens., September, 2023

Use of Multi-Date and Multi-Spectral UAS Imagery to Classify Dominant Tree Species in the Wet Miombo Woodlands of Zambia.
Sensors, February, 2023

Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem.
Remote. Sens., February, 2023

Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics.
Remote. Sens., 2023

Modeling Crown-Bulk Density from Airborne and Terrestrial Laser Scanning Data in a Longleaf Pine Forest Ecosystem.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Mapping Total Aboveground Biomass Change in the Brazilian Cerrado Using Uav-Lidar.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA.
Remote. Sens., December, 2022

Influence of UAS Flight Altitude and Speed on Aboveground Biomass Prediction.
Remote. Sens., 2022

Evaluating the Use of Lidar to Discern Snag Characteristics Important for Wildlife.
Remote. Sens., 2022

2021
Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon.
Remote. Sens., 2021

2020
Estimating Time Since the Last Stand-Replacing Disturbance (TSD) from Spaceborne Simulated GEDI Data: A Feasibility Study.
Remote. Sens., 2020

Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground Biomass Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data.
Remote. Sens., 2020

Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models.
Remote. Sens., 2020

Mapping Multiple Insect Outbreaks across Large Regions Annually Using Landsat Time Series Data.
Remote. Sens., 2020

2019
Estimation of Changes of Forest Structural Attributes at Three Different Spatial Aggregation Levels in Northern California using Multitemporal LiDAR.
Remote. Sens., 2019

Accurate Ground Positioning Obtained From 3d Data Matching Between Airborne and Terrestrial Data for Ground Validation of Satellite Laser.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Semi-Automated Delineation of Stands in an Even-Age Dominated Forest: A LiDAR-GEOBIA Two-Stage Evaluation Strategy.
Remote. Sens., 2018

2017
Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest.
Remote. Sens., 2017

2014
Landsat Time Series and Lidar as Predictors of Live and Dead Basal Area Across Five Bark Beetle-Affected Forests.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2013
Predicting live and dead basal area from LandTrendr variables in beetle-affected forests.
Proceedings of the 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013

2012
Utility of Remotely Sensed Imagery for Assessing the Impact of Salvage Logging after Forest Fires.
Remote. Sens., 2012

2011
A Comparison of Two Open Source LiDAR Surface Classification Algorithms.
Remote. Sens., 2011

2009
LiDAR Utility for Natural Resource Managers.
Remote. Sens., 2009

Discrete Return Lidar in Natural Resources: Recommendations for Project Planning, Data Processing, and Deliverables.
Remote. Sens., 2009

2007
A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR in Forested Environments.
IEEE Trans. Geosci. Remote. Sens., 2007


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