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Andrew T. Hudak

Andrew T. Hudak

Research Forester

Forestry Sciences Laboratory
1221 South Main Street
Moscow, ID 83843
Contact Andrew T. Hudak

Current Research

I recently completed a landscape-level forest biomass and carbon sequestration assessment using repeat field and lidar surveys. Now I am expanding the scope of this work to examine relationships between forest canopy structure, wildlife habitat and biodiversity, and coupled carbon and water cycles. My collaborators and I are working to improve LiDAR data analysis capabilities for vegetation applications. I also work with other fire scientists to relate postfire effects to prefire fuels and active fire behavior on prescribed fires, where it's safe and logistically feasible to measure these variables before, during, and after the fire. An improved fundamental understanding of fire as a process will advance fire science and help fire managers make better decisions. I also study the effectiveness of fuel treatments for mitigating wildfire severity.

Research Interests

My research interests include landscape, vegetation, and fire ecology; remote sensing of vegetation patterns and processes; forest and rangeland ecology and management; empirical modeling of spatially explicit ecological data.

Past Research

My PhD research examined the ecological causes and consequences of historic bush encroachment in South African savannas. I retain an active interest in savanna fire ecology and the relationship between vegetation pattern and fire process in both forest and rangeland ecosystems.

Why This Research is Important

Forest managers need better tools and information on forest biomass and carbon sequestration. Fuel and fire managers need better information on how best to manipulate forest fuels to mitigate the risk of severe fire and to cope with severe fire effects. Airborne and satellite remote sensing in combination with appropriately sampled ground data can provide this needed information in the form of maps.


  • University of Colorado, Ph.D., Environmental, Population, and Organismic Biology, 1999
  • University of Minnesota, B.S., Ecology, Evolution, and Behavior, 1990
  • Itasca Community College, A.A., Liberal Arts, 1987
  • Professional Experience

    Research Forester, Rocky Mountain Research Station, Forest Service, U.S. Department of Agriculture
    2001 to present

    Research Ecologist, Pacific Northwest Research Station, Forest Service, U.S. Department of Agriculture
    1999 to 2001

    Graduate Research/Teaching Assistant, University of Colorado
    1993 to 1999

    Secondary School Science Teacher, U.S. Peace Corps
    1990 to 1992


    Certificate of Merit, 2011
    USDA Certificate of Merit for superior performance in FY 2011
    Bridge Builder Award, 2010
    College of Natural Resources Bridge Builder Award for collaborative efforts with students and faculty of the University of Idaho s College of Natural Resources
    Certificate of Appreciation, 2009
    Certificate of Appreciation for Excellence in Scientific Outreach at the McCall Outdoor Science School. Idaho NSF EPSCoR Water Resources in a Changing Climate Program
    Extra Effort Award, 2003
    Extra effort award for quickly and efficiently collecting ground truth data for the hyperspectral image analysis project immediately after the southern California wildfires

    Featured Publications


    Martinez, Anthony; Meddens, Arjan; Kolden, Crystal; Hudak, Andrew T., 2019. An assessment of fire refugia importance criteria ranked by land managers
    Warwell, Marcus V.; McDonald, Geral I; Hanna, John W.; Kim, Mee-Sook; Lalande, Bradley M.; Stewart, Jane E.; Hudak, Andrew T.; Klopfenstein, Ned B., 2019. Armillaria altimontana is associated with healthy western white pine (Pinus monticola): Potential in situ biological control of the Armillaria root disease pathogen, A
    Martinez, Anthony J.; Meddens, Arjan J. H.; Kolden, Crystal A.; Strand, Eva K.; Hudak, Andrew T., 2019. Characterizing persistent unburned islands within the Inland Northwest USA
    Mauro, Francisco; Ritchie, Martin; Wing, Brian; Frank, Bryce; Monleon, Vicente; Temesgen, Hailemariam; Hudak, Andrew T., 2019. Estimation of changes of forest structural attributes at three different spatial aggregation levels in Northern California using multitemporal LiDAR
    Bright, Benjamin C.; Hudak, Andrew T.; Kennedy, Robert E.; Braaten, Justin D.; Khalyani, Azad Henareh, 2019. Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types
    Smith, April G.; Newingham, Beth A.; Hudak, Andrew T.; Bright, Benjamin C., 2019. Got shrubs? Precipitation mediates long-term shrub and introduced grass dynamics in chaparral communities after fire
    Dickinson, Matthew B.; Butler, Bret W.; Hudak, Andrew T.; Bright, Benjamin C.; Kremens, Robert L.; Klauberg, Carine, 2019. Inferring energy incident on sensors in low-intensity surface fires from remotely sensed radiation and using it to predict tree stem injury
    Dell, Jane E.; Pokswinski, Scott M.; Richards, Lora A.; Hiers, J. Kevin; Williams, Brett; O’Brien, Joseph J.; Loudermilk, E. Louise; Hudak, Andrew T.; Dyer, Lee A., 2019. Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem
    Kato, Akira; Moskal, L. Monika; Batchelor, Jonathan L.; Thau, David; Hudak, Andrew T., 2019. Relationships between satellite-based spectral burned ratios and terrestrial laser scanning
    Prichard, Susan; Larkin, N.; Ottmar, Roger; French, Nancy; Baker, Kirk; Brown, Tim; Clements, Craig; Dickinson, Matt; Hudak, Andrew T.; Kochanski, Adam; Linn, Rod; Liu, Yongqiang; Potter, Brian; Mell, William; Tanzer, Danielle; Urbanski, Shawn P.; Watts, Adam, 2019. The Fire and Smoke Model Evaluation Experiment - A plan for integrated, large fire-atmosphere field campaigns
    Steady, Wade D.; Feltrin, Raquel Partelli; Johnson, Daniel M.; Sparks, Aaron M.; Kolden, Crystal A.; Talhelm, Alan F.; Lutz, James A.; Boschetti, Luigi; Hudak, Andrew T.; Nelson, Andrew S.; Smith, Alistair M. S., 2019. The survival of Pinus ponderosa saplings subjected to increasing levels of fire behavior and impacts on post‐fire growth
    Weise, David R.; Fletcher, Thomas H.; Johnson, Timothy J.; Hao, Wei Min M.; Dietenberger, Mark; Princevac, Marko; Butler, Bret W.; McAllister, Sara S.; O’Brien, Joseph; Loudermilk, Louise; Ottmar, Roger; Hudak, Andrew T.; Kato, Akira; Shotorban, Babak; Mahalingam, Shankar; Mell, William E., 2018. A project to measure and model pyrolysis to improve prediction of prescribed fire behavior [Chapter 3]
    Tinkham, Wade T.; Mahoney, Patrick R.; Hudak, Andrew T.; Domke, Grant M.; Falkowski, Mike J.; Woodall, Chris W.; Smith, Alistair M. S., 2018. Applications of the United States Forest Inventory and Analysis dataset: A review and future directions
    Silva, Carlos Alberto; Saatchi, Sassan; Garcia, Mariano; Labriere, Nicolas; Klauberg, Carine; Ferraz, Antonio; Meyer, Victoria; Jeffery, Kathryn J.; Abernethy, Katharine; White, Lee; Zhao, Kaiguang; Lewis, Simon L.; Hudak, Andrew T., 2018. Comparison of small- and large-footprint lidar characterization of tropical forest aboveground structure and biomass: A case study from Central Gabon
    Wei, Liang; Zhou, Hang; Link, Timothy E.; Kavanagh, Kathleen L.; Hubbart, Jason A.; Du, Enhao; Hudak, Andrew T.; Marshall, John D., 2018. Forest productivity varies with soil moisture more than temperature in a small montane watershed
    Smith, Alistair M. S.; Lutz, James A.; Hoffman, Chad M.; Williamson, Grant J.; Hudak, Andrew T., 2018. Preface: Special issue on wildland fires
    Campbell, Michael J.; Dennison, Philip E.; Hudak, Andrew T.; Parham, Lucy M.; Butler, Bret W., 2018. Quantifying understory vegetation density using small-footprint airborne lidar
    Meddens, Arjan J. H.; Kolden, Crystal A.; Lutz, James A.; Abatzoglou, John T.; Hudak, Andrew T., 2018. Spatiotemporal patterns of unburned areas within fire perimeters in the northwestern United States from 1984 to 2014
    Huo, Lian-Zhi; Silva, Carlos Alberto; Klauberg, Carine; Mohan, Midhun; Zhao, Li-Jun; Tang, Ping; Hudak, Andrew T., 2018. Supervised spatial classification of multispectral LiDAR data in urban areas
    Bae, Soyeon; Muller, Jorg; Lee, Dowon; Vierling, Kerri T.; Vogeler, Jody C.; Vierling, Lee A.; Hudak, Andrew T.; Latifi, Hooman; Thorn, Simon, 2018. Taxonomic, functional, and phylogenetic diversity of bird assemblages are oppositely associated to productivity and heterogeneity in temperate forests
    Hudak, Andrew T.; Freeborn, Patrick; Lewis, Sarah A.; Hood, Sharon M.; Smith, Helen Y.; Hardy, Colin C.; Kremens, Robert J.; Butler, Bret W.; Teske, Casey; Tissell, Robert G.; Queen, Lloyd P.; Nordgren, Bryce L.; Bright, Benjamin C.; Morgan, Penelope; Riggan, Philip J.; Macholz, Lee; Lentile, Leigh B.; Riddering, James P.; Mathews, Edward E., 2018. The Cooney Ridge Fire Experiment: An early operation to relate pre-, active, and post-fire field and remotely sensed measurements
    Fekety, Patrick A.; Falkowski, Michael J.; Hudak, Andrew T.; Jain, Terrie B.; Evans, Jeffrey S., 2018. Transferability of lidar-derived basal area and stem density models within a northern Idaho ecoregion
    Klauberg, C.; Hudak, Andrew T.; Bright, Benjamin C.; Boschetti, L.; Dickinson, M. B.; Kremens, R. L.; Silva, C. A., 2018. Use of ordinary kriging and Gaussian conditional simulation to interpolate airborne fire radiative energy density estimates [Corrigendum]
    Silva, Carlos Alberto; Hudak, Andrew T.; Klauberg, Carine; Vierling, Lee Alexandre; Gonzalez‑Benecke, Carlos; Carvalho, Samuel de Padua Chaves; Rodriguez, Luiz Carlos Estraviz; Cardil, Adrian, 2017. Combined effect of pulse density and grid cell size on predicting and mapping aboveground carbon in fast‑growing Eucalyptus forest plantation using airborne LiDAR data
    Liu, Yongqiang; Kochanski, Adam; Baker, Kirk; Mell, Ruddy; Linn, Rodman; Paugam, Ronan; Mandel, Jan; Fournier, Aime; Jenkins, Mary Ann; Goodrick, Scott; Achtemeier, Gary; Hudak, Andrew T.; Dickson, Matthew; Potter, Brian; Clements, Craig; Urbanski, Shawn P.; Ottmar, Roger; Larkin, Narasimhan; Brown, Timothy; French, Nancy; Prichard, Susan; Watts, Adam; McNamara, Derek, 2017. Fire and Smoke Model Evaluation Experiment (FASMEE): Modeling gaps and data needs
    Silva, Carlos Alberto; Hudak, Andrew T.; Vierling, Lee Alexander; Klauberg, Carine; Garcia, Mariano; Ferraz, Antonio; Keller, Michael; Eitel, Jan; Saatchi, Sassan, 2017. Impacts of airborne lidar pulse density on estimating biomass stocks and changes in a selectively logged tropical forest
    Lewis, Sarah A.; Hudak, Andrew T.; Robichaud, Peter R.; Morgan, Penelope; Satterberg, Kevin L.; Strand, Eva K.; Smith, Alistair M. S.; Zamudio, Joseph A.; Lentile, Leigh B., 2017. Indicators of burn severity at extended temporal scales: a decade of ecosystem response in mixed-conifer forests of western Montana
    Mohan, Midhun; Silva, Carlos Alberto; Klauberg, Carine; Jat, Prahlad; Catts, Glenn; Cardil, Adrian; Hudak, Andrew T.; Dia, Mahendra, 2017. Individual tree detection from Unmanned Aerial Vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest
    McCarley, T. Ryan; Kolden, Crystal A.; Vaillant, Nicole M.; Hudak, Andrew T.; Smith, Alistair M. S.; Kreitler, Jason, 2017. Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest
    Silva, Carlos A.; Klauberg, Carine; Hudak, Andrew T.; Vierling, Lee A.; Fennema, Scott J.; Corte, Ana Paula D., 2017. Modeling and mapping basal area of Pinus taeda L. plantation using airborne LiDAR data
    McCarley, T. Ryan; Kolden, Crystal A.; Vaillant, Nicole M.; Hudak, Andrew T.; Smith, Alistair M. S.; Wing, Brian M.; Kellogg, Bryce S.; Kreitler, Jason., 2017. Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure
    Morgan, Penelope; Hudak, Andrew T.; Wells, Ashley; Parks, Sean A.; Baggett, L. Scott; Bright, Benjamin C.; Green, Patricia, 2017. Multidecadal trends in area burned with high severity in the Selway-Bitterroot Wilderness Area 1880-2012
    Dell, Jane E.; Richards, Lora A.; O’Brien, Joseph J.; Loudermilk, E. Louise; Hudak, Andrew T.; Pokswinski, Scott M.; Bright, Benjamin C.; Hiers, J. Kevin; Williams, Brett W.; Dyer, Lee A., 2017. Overstory-derived surface fuels mediate plant species diversity in frequently burned longleaf pine forests
    Silva, Carlos Alberto; Klauberg, Carine; Hudak, Andrew T.; Vierling, Lee Alexander; Jaafar, Wan Shafrina Wan Mohd; Mohan, Midhun; Garcia, Mariano; Ferraz, Antonio; Cardil, Adrian; Saatchi, Sassan, 2017. Predicting stem total and assortment volumes in an industrial Pinus taeda L. forest plantation using airborne laser scanning data and random forest
    Bright, Benjamin C.; Hudak, Andrew T.; Meddens, Arjan J. H.; Hawbaker, Todd J.; Briggs, Jennifer S.; Kennedy, Robert E., 2017. Prediction of forest canopy and surface fuels from lidar and satellite time series data in a bark beetle-affected forest
    Klauberg, Carine; Vidal, Edson; Silva, Carlos Alberto; Hudak, Andrew T.; Oliveira, Manuela; Higuchi, Pedro, 2017. Short-term effects of reduced-impact logging on Copaifera spp. (Fabaceae) regeneration in eastern Amazon
    Silva, Carlos Alberto; Klauberg, Carine; Hudak, Andrew T.; Vierling, Lee A.; Liesenberg, Veraldo; Carvalho, Samuel P. C. e; Rodriguez, Luiz C. E., 2016. A principal component approach for predicting the stem volume in Eucalyptus plantations in Brazil using airborne LiDAR data
    O'Brien, Joseph J.; Loudermilk, E. Louise; Hiers, J. Kevin; Pokswinski, Scott; Hornsby, Benjamin; Hudak, Andrew T.; Strother, Dexter; Rowell, Eric; Bright, Benjamin C., 2016. Canopy-derived fuels drive patterns of in-fire energy release and understory plant mortality in a longleaf pine ( Pinus palustris ) sandhill in northwest Florida, USA
    Tinkham, Wade T.; Smith, Alistair M. S.; Affleck, David L. R.; Saralecos, Jarred D.; Falkowski, Michael J.; Hoffman, Chad M.; Hudak, Andrew T.; Wulder, Michael A., 2016. Development of height-volume relationships in second growth Abies grandis for use with aerial LiDAR
    Beckley, Carl S.; Shaban, Salisu; Palmer, Guy H.; Hudak, Andrew T.; Noh, Susan M.; Futse, James E., 2016. Disaggregating tropical disease prevalence by climatic and vegetative zones within tropical west Africa
    Ross-Davis, Amy; Stewart, Jane E.; Settles, Matt; Hanna, John W.; Shaw, John D.; Hudak, Andrew T.; Page-Dumroese, Deborah S.; Klopfenstein, Ned B., 2016. Fine-scale variability of forest soil fungal communities in two contrasting habitat series in northern Idaho, USA identified with microbial metagenomics
    Clements, Craig B.; Lareau, Neil P.; Seto, Daisuke; Contezac, Jonathan; Davis, Braniff; Teske, Casey; Zajkowski, Thomas J.; Hudak, Andrew T.; Bright, Benjamin C.; Dickinson, Matthew B.; Butler, Bret W.; Jimenez, Daniel; Hiers, J. Kevin., 2016. Fire weather conditions and fire-atmosphere interactions observed during low-intensity prescribed fires - RxCADRE 2012
    O’Brien, Joseph J.; Loudermilk, E. Louise; Hornsby, Benjamin; Hudak, Andrew T.; Bright, Benjamin C.; Dickinson, Matthew B.; Hiers, J. Kevin; Teske, Casey; Ottmar, Roger D., 2016. High-resolution infrared thermography for capturing wildland fire behaviour - RxCADRE 2012
    Silva, Carlos A.; Hudak, Andrew T.; Vierling, Lee A.; Loudermilk, E. Louise; O'Brien, Joseph J.; Hiers, J. Kevin; Jack, Steve B.; Gonzalez-Benecke, Carlos; Lee, Heezin; Falkowski, Michael J.; Khosravipour, Anahita, 2016. Imputation of individual longleaf pine (Pinus palustris Mill.) tree attributes from field and LiDAR data
    Bright, Benjamin C.; Loudermilk, E. Louise; Pokswinski, Scott M.; Hudak, Andrew T.; O'Brien, Joseph J., 2016. Introducing close-range photogrammetry for characterizing forest understory plant diversity and surface fuel structure at fine scales
    Hudak, Andrew T.; Loudermilk, E. Louise; White, Joanne C., 2016. Introduction to special issue on remote sensing for advanced forest inventory
    Mathews, Bill J.; Strand, Eva K.; Smith, Alistair M. S.; Hudak, Andrew T.; Dickinson, Matthew B.; Kremens, Robert L., 2016. Laboratory experiments to estimate interception of infrared radiation by tree canopies
    Hudak, Andrew T.; Bright, Benjamin C.; Pokswinski, Scott M.; Loudermilk, E. Louise; O'Brien, Joseph J.; Hornsby, Benjamin S.; Klauberg, Carine; Silva, Carlos A., 2016. Mapping forest structure and composition from low-density LiDAR for informed forest, fuel, and fire management at Eglin Air Force Base, Florida, USA
    Hudak, Andrew T.; Dickinson, Matthew B.; Bright, Benjamin C.; Kremens, Robert L.; Loudermilk, E. Louise; O'Brien, Joseph J.; Hornsby, Benjamin S.; Ottmar, Roger D., 2016. Measurements relating fire radiative energy density and surface fuel consumption - RxCADRE 2011 and 2012
    Ottmar, Roger D.; Hiers, J. Kevin; Butler, Bret W.; Clements, Craig B.; Dickinson, Matthew B.; Hudak, Andrew T.; O'Brien, Joseph; Potter, Brian E.; Rowell, Eric M.; Strand, Tara M.; Zajkowski, Thomas J., 2016. Measurements, datasets and preliminary results from the RxCADRE project-2008, 2011 and 2012
    Dickinson, Matthew B.; Hudak, Andrew T.; Zajkowski, Thomas; Loudermilk, E. Louise; Schroeder, Wilfrid; Ellison, Luke; Kremens, Robert L.; Holley, William; Martinez, Otto; Paxton, Alexander; Bright, Benjamin C.; O'Brien, Joseph; Hornsby, Ben; Ichoku, Charles; Faulring, Jason; Gerace, Aaron; Peterson, David; Mauceri, Joseph, 2016. Measuring radiant emissions from entire prescribed fires with ground, airborne and satellite sensors - RxCADRE 2012
    Deo, Ram Kumar; Froese, Robert E.; Falkowski, Michael J.; Hudak, Andrew T., 2016. Optimizing variable radius plot size and LiDAR resolution to model standing volume in conifer forests
    Ottmar, Roger D.; Hudak, Andrew T.; Prichard, Susan J.; Wright, Clinton S.; Restaino, Joseph C.; Kennedy, Maureen C.; Vihnanek, Robert E., 2016. Pre-fire and post-fire surface fuel and cover measurements collected in the southeastern United States for model evaluation and development - RxCADRE 2008, 2011 and 2012
    Klauberg, Carine; Vidal, Edson; Silva, Carlos Alberto; Bentes, Michelliny de M.; Hudak, Andrew T., 2016. Sampling methods for titica vine (Heteropsis spp.) inventory in a tropical forest
    Wei, Liang; Link, Timothy E.; Hudak, Andrew T.; Marshall, John D.; Kavanagh, Kathleen L.; Abatzoglou, John T.; Zhou, Hang; Pangle, Robert E.; Flerchinger, Gerald N., 2016. Simulated water budget of a small forested watershed in the continental/maritime hydroclimatic region of the United States
    Smith, Alistair M. S.; Kolden, Crystal A.; Paveglio, Travis B.; Cochrane, Mark A.; Bowman, David MJS; Moritz, Max A.; Kliskey, Andrew D.; Alessa, Lilian; Hudak, Andrew T.; Hoffman, Chad M.; Lutz, James A.; Queen, Lloyd P.; Goetz, Scott J.; Higuera, Philip E.; Boschetti, Luigi; Flannigan, Mike; Yedinak, Kara M.; Watts, Adam C.; Strand, Eva K.; van Wagtendonk, Jan W.; Anderson, John W.; Stocks, Brian J.; Abatzoglou, John T., 2016. The science of firescapes: Achieving fire-resilient communities
    Holbrook, Joseph D.; Vierling, Kerri T.; Vierling, Lee A.; Hudak, Andrew T.; Adam, Patrick, 2015. Occupancy of red-naped sapsuckers in a coniferous forest: Using LiDAR to understand effects of vegetation structure and disturbance
    Fekety, Patrick A.; Falkowski, Michael J.; Hudak, Andrew T., 2015. Temporal transferability of LiDAR-based imputation of forest structure attributes
    Ross-Davis, Amy; Settles, Matt; Hanna, John W.; Shaw, John D.; Hudak, Andrew T.; Page-Dumroese, Deborah S.; Klopfenstein, Ned B., 2015. Using a metagenomic approach to improve our understanding of Armillaria root disease
    Morgan, Penelope; Moy, Marshell; Droske, Christine A.; Lewis, Sarah A.; Lentile, Leigh B.; Robichaud, Pete R.; Hudak, Andrew T.; Williams, Christopher J., 2015. Vegetation response to burn severity, native grass seeding, and salvage logging
    Birch, Donovan S.; Morgan, Penelope; Kolden, Crystal A.; Abatzoglou, John T.; Dillon, Gregory K.; Hudak, Andrew T.; Smith, Alistair M. S., 2015. Vegetation, topography and daily weather influenced burn severity in central Idaho and western Montana forests
    Morgan, Penelope; Keane II, Robert E.; Dillon, Gregory K.; Jain, Terrie B.; Hudak, Andrew T.; Karau, Eva C.; Sikkink, Pamela G.; Holden, Zachery A.; Strand, Eva K., 2014. Challenges of assessing fire and burn severity using field measures, remote sensing and modelling
    Ross-Davis, Amy; Stewart, Jane E.; Hanna, John W.; Shaw, John D.; Hudak, Andrew T.; Jain, Terrie B.; Denner, Robert J.; Graham, Russell T.; Page-Dumroese, Deborah S.; Tirocke, Joanne M.; Kim, Mee-Sook; Klopfenstein, Ned B., 2014. Forest soil microbial communities: Using metagenomic approaches to survey permanent plots
    Hudak, Andrew T.; Haren, A. Tod; Crookston, Nicholas L.; Liebermann, Robert J. J; Ohmann, Janet L., 2014. Imputing forest structure attributes from stand inventory and remotely sensed data in western Oregon, USA
    Birch, Donovan S.; Morgan, Penelope; Kolden, Crystal A.; Hudak, Andrew T.; Smith, Alistair M. S., 2014. Is proportion burned severely related to daily area burned?
    Bright, Benjamin C.; Hudak, Andrew T.; Kennedy, Robert E.; Meddens, Arjan J. H., 2014. Landsat time series and lidar as predictors of live and dead basal area across five bark beetle-affected forests
    Silva, Carlos Alberto; Klauberg, Carine; Carvalho, Samuel de Padua Chaves e; Hudak, Andrew T.; Rodriguez, e Luiz Carlos Estraviz., 2014. Mapping aboveground carbon stocks using LiDAR data in Eucalyptus spp. plantations in the state of Sao Paulo, Brazil
    Hudak, Andrew T.; Ottmar, Roger D.; Vihnanek, Robert E.; Wright, Clint S., 2014. Relationship of post-fire ground cover to surface fuel loads and consumption in longleaf pine ecosystems
    Smith, Alistair M. S.; Kolden, Crystal A.; Tinkham, Wade T.; Talhelm, Alan F.; Marshall, John D.; Hudak, Andrew T.; Boschetti, Luigi; Falkowski, Michael J.; Greenberg, Jonathan A.; Anderson, John W.; Kliskey, Andrew; Alessa, Lilian; Keefe, Robert F.; Gosz, James R., 2014. Remote sensing the vulnerability of vegetation in natural terrestrial ecosystems
    Vogeler, Jody C.; Hudak, Andrew T.; Vierling, Lee A.; Evans, Jeffrey; Green, Patricia; Vierling, Kerri T., 2014. Terrain and vegetation structural influences on local avian species richness in two mixed-conifer forests
    Galvez, Fabian B.; Hudak, Andrew T.; Byrne, John C.; Crookston, Nicholas L.; Keefe, Robert F., 2014. Using climate-FVS to project landscape-level forest carbon stores for 100 years from field and LiDAR measures of initial conditions
    Morgan, Penelope; Moy, Marshell; Droske, Christine A.; Lentile, Leigh B.; Lewis, Sarah A.; Robichaud, Pete R.; Hudak, Andrew T., 2014. Vegetation response after post-fire mulching and native grass seeding
    Meddens, Arjan J. H.; Hicke, Jeffrey A.; Vierling, Lee A.; Hudak, Andrew T., 2013. Evaluating methods to detect bark beetle-caused tree mortality using single-date and multi-date Landsat imagery
    Brewer, Nolan W.; Smith, Alistair M.S.; Hatten, Jeffery A.; Higuera, Philip E.; Hudak, Andrew T.; Ottmar, Roger D.; Tinkham, Wade T., 2013. Fuel moisture influences on fire-altered carbon in masticated fuels: An experimental study
    Vogeler, Jody C.; Hudak, Andrew T.; Vierling, Lee A.; Vierling, Kerri T., 2013. Lidar-derived canopy architecture predicts Brown Creeper occupancy of two western coniferous forests
    Bright, Benjamin C.; Hudak, Andrew T.; McGaughey, Robert; Andersen, Hans-Erik; Negron, Jose, 2013. Predicting live and dead tree basal area of bark beetle affected forests from discrete-return lidar
    Wulder, M. A.; Coops, N. C.; Hudak, Andrew T.; Morsdorf, F.; Nelson, R.; Newnham, G.; Vastaranta, M., 2013. Status and prospects for LiDAR remote sensing of forested ecosystems
    Hudak, Andrew T.; Ottmar, Roger D.; Vihnanek, Robert E.; Brewer, Nolan W.; Smith, Alistair M. S.; Morgan, Penelope, 2013. The relationship of post-fire white ash cover to surface fuel consumption
    Wooster, Martin J.; Roberts, Gareth; Smith, Alistair M.S.; Johnston, Joshua; Freeborn, Patrick; Amici, Stefania; Hudak, Andrew T., 2013. Thermal remote sensing of active vegetation fires and biomass burning events [Chapter 18]
    Vierling, Lee A.; Vierling, Kerri T.; Adam, Patrick; Hudak, Andrew T., 2013. Using satellite and airborne LiDAR to model woodpecker habitat occupancy at the landscape scale
    Tinkham, Wade T.; Smith, Alistair M. S.; Hoffman, Chad; Hudak, Andrew T.; Falkowski, Michael J.; Swanson, Mark E.; Gessler, Paul E., 2012. Investigating the influence of LiDAR ground surface errors on the utility of derived forest inventories
    Hudak, Andrew T.; Bright, Ben; Negron, Jose; McGaughey, Robert; Andersen, Hans-Erik; Hicke, Jeffrey A., 2012. Predicting live and dead basal area in bark beetle-affected forests from discrete-return LiDAR
    Hudak, Andrew T.; Strand, Eva K.; Vierling, Lee A.; Byrne, John C.; Eitel, Jan U. H.; Martinuzzi, Sebastian; Falkowski, Michael J., 2012. Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys
    Martinuzzi, Sebastian; Gould, William A.; Vierling, Lee A.; Hudak, Andrew T.; Nelson, Ross F.; Evans, Jeffrey S., 2012. Quantifying tropical dry forest type and succession: substantial improvement with LiDAR
    Dobre, Mariana; Elliot, William J.; Wu, Joan Q.; Link, Timothy E.; Glaza, Brandon; Jain, Terrie B.; Hudak, Andrew T., 2012. Relationship of field and LiDAR estimates of forest canopy cover with snow accumulation and melt
    Lewis, Sarah A.; Robichaud, Pete R.; Hudak, Andrew T.; Austin, Brian; Liebermann, Robert J., 2012. Utility of remotely sensed imagery for assessing the impact of salvage logging after forest fires
    Moreira, Eder Paulo; Elliot, William J.; Hudak, Andrew T., 2011. Effects of DTM resolution on slope steepness and soil loss prediction on hillslope profiles
    Jensen, Jennifer L. R.; Humes, Karen S.; Hudak, Andrew T.; Vierling, Lee A.; Delmelle, Eric, 2011. Evaluation of the MODIS LAI product using independent lidar-derived LAI: A case study in mixed conifer forest
    Hudak, Andrew T.; Jain, Terrie B.; Morgan, Penelope; Clark, Jess T., 2011. Remote sensing of WUI fuel treatment effectiveness following the 2007 wildfires in central Idaho
    Smith, Alistair M. S.; Falkowski, Michael J.; Hudak, Andrew T.; Evans, Jeffrey S.; Robinson, Andrew P.; Steele, Caiti M., 2010. A cross-comparison of field, spectral, and lidar estimates of forest canopy cover
    Holden, Zachary A.; Morgan, Penelope; Hudak, Andrew T., 2010. Burn severity of areas reburned by wildfires in the Gila National Forest, New Mexico, USA
    Falkowski, Michael J.; Hudak, Andrew T.; Crookston, Nicholas L.; Gessler, Paul E.; Uebler, Edward H.; Smith, Alistair M. S., 2010. Landscape-scale parameterization of a tree-level forest growth model: a k-nearest neighbor imputation approach incorporating LiDAR data
    Falkowski, Michael J.; Evans, Jeffrey S.; Martinuzzi, Sebastian; Gessler, Paul E.; Hudak, Andrew T., 2009. Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA
    Hudak, Andrew T.; Crookston, Nicholas L.; Evans, Jeffrey S.; hall, David E.; Falkowski, Michael J., 2009. Corrigendum to "Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data"
    Evans, Jeffrey S.; Hudak, Andrew T.; Faux, Russ; Smith, Alistair M. S., 2009. Discrete return lidar in natural resources: Recommendations for project planning, data processing, and deliverables
    Martinuzzi, Sebastian; Vierling, Lee A.; Gould, William A.; Vierling, Kerri T.; Hudak, Andrew T., 2009. Incorporating remotely sensed tree canopy cover data into broad scale assessments of wildlife habitat distribution and conservation
    Hudak, Andrew T.; Evans, Jeffrey Scott; Smith, Alistair Mattthew Stuart., 2009. LiDAR utility for natural resource managers
    Martinuzzi, Sebastian; Vierling, Lee A.; Gould, William A.; Falkowski, Michael J.; Evans, Jeffrey S.; Hudak, Andrew T.; Vierling, Kerri T., 2009. Mapping snags and understory shrubs for LiDAR based assessment of wildlife habitat suitability
    Lentile, Leigh B.; Smith, Alistair M. S.; Hudak, Andrew T.; Morgan, Penelope; Bobbitt, Michael J.; Lewis, Sarah A.; Robichaud, Pete R., 2009. Remote sensing for prediction of 1-year post-fire ecosystem condition
    Jimenez, Daniel M.; Butler, Bret W.; Hiers, K.; Ottmar, R.; Dickinson, M.; Kremens, R.; O'Brien, J.; Hudak, Andrew T.; Clements, C., 2009. Rx-CADRE (Prescribed Fire Combustion-Atmospheric Dynamics Research Experiments) collaborative research in the core fire sciences
    Eskelson, Bianca N. I.; Temesgen, Hailemariam; Lemay, Valerie; Barrett, Tara M.; Crookston, Nicholas L.; Hudak, Andrew T., 2009. The roles of nearest neighbor methods in imputing missing data in forest inventory and monitoring databases
    Hudak, Andrew T.; Evans, Jeffrey S.; Crookston, Nicholas L.; Falkowski, Michael J.; Steigers, Brant K.; Taylor, Rob; Hemingway, Halli, 2008. Aggregating pixel-level basal area predictions derived from LiDAR data to industrial forest stands in North-Central Idaho
    Meddens, Arjan J. H.; Hudak, Andrew T.; Evans, Jeffrey S.; Gould, William A.; Gonzalez, Grizelle, 2008. Characterizing forest fragments in boreal, temperate, and tropical ecosystems
    Gonzalez, Grizelle; Gould, William; Hudak, Andrew T.; Hollingsworth, Teresa Nettleton, 2008. Decay of aspen (Populus tremuloides Michx.) wood in moist and dry boreal, temperate, and tropical forest fragments
    Jensen, Jennifer L. R.; Humes, Karen S.; Vierling, Lee A.; Hudak, Andrew T., 2008. Discrete return lidar-based prediction of leaf area index in two conifer forests
    Gould, William A.; Gonzalez, Grizelle; Hudak, Andrew T.; Hollingsworth, Teresa Nettleton; Hollingsworth, Jamie, 2008. Forest structure and downed woody debris in boreal temperate, and tropical forest fragments
    Hudak, Andrew T.; Crookston, Nicholas L.; Evans, Jeffrey S.; Hall, David E.; Falkowski, Michael J., 2008. Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data
    Falkowski, Michael J.; Smith, Alistair M.S.; Gessler, Paul E.; Hudak, Andrew T.; Vierling, Lee A.; Evans, Jeffrey S., 2008. The influence of conifer forest canopy cover on the accuracy of two individual tree measurement algorithms using lidar data
    Lentile, Leigh; Morgan, Penny; Hardy, Colin C.; Hudak, Andrew T.; Means, Robert; Ottmar, Roger; Robichaud, Pete R.; Sutherland, Elaine K.; Way, Frederick; Lewis, Sarah A., 2007. Lessons learned from Rapid Response Research on wildland fires
    Lewis, Sarah A.; Lentile, Leigh B.; Hudak, Andrew T.; Robichaud, Peter R.; Morgan, Penelope; Bobbitt, Michael J., 2007. Mapping ground cover using hyperspectral remote sensing after the 2003 Simi and Old wildfires in southern California
    Lentile, Leigh B.; Morgan, Penelope; Hudak, Andrew T.; Bobbitt, Michael J.; Lewis, Sarah A.; Smith, Alistair M. S.; Robichaud, Peter R., 2007. Post-fire burn severity and vegetation response following eight large wildfires across the Western United States
    Robichaud, Pete R.; Lewis, Sarah A.; Laes, Denise Y. M.; Hudak, Andrew T.; Kokaly, Raymond F.; Zamudio, Joseph A., 2007. Postfire soil burn severity mapping with hyperspectral image unmixing
    Smith, A. M. S.; Drake, N. A.; Wooster, M. J.; Hudak, Andrew T.; Holden, Z. A.; Gibbons, C. J., 2007. Production of Landsat ETM+ reference imagery of burned areas within Southern African savannahs: comparison of methods and application to MODIS
    Hudak, Andrew T.; Thode, Andrea E.; van Wagtendonk, Jan W., 2007. Special issue: Remote sensing applications for investigations of fire regime attributes
    Hudak, Andrew T.; Morgan, Penelope; Bobbitt, Michael J.; Smith, Allstair M. S.; Lewis, Sarah A.; Lentile, Leigh B.; Robichaud, Pete R.; Clark, Jess T.; McKinley, Randy A., 2007. The relationship of multispectral satellite imagery to immediate fire effects
    Lentile, L.; Morgan, P.; Hardy, Colin C.; Hudak, Andrew T.; Means, R.; Ottmar, R.; Robichaud, Pete R.; Sutherland, Elaine K.; Szymoniak, J.; Way, F.; Fites-Kaufman, J.; Lewis, S.; Mathews, E.; Shovik, H.; Ryan, K., 2007. Value and challenges of conducting rapid response research on wildland fires
    Falkowski, Michael J.; Smith, Alistair M.S.; Hudak, Andrew T.; Gessler, Paul E.; Vierling, Lee A.; Crookston, Nicholas L., 2006. Automated estimation of individual conifer tree height and crown diameter via Two-dimensional spatial wavelet analysis of lidar data
    Hudak, Andrew T.; Crookston, Nicholas L.; Evans, Jeffrey S.; Falkowski, Michael K.; Smith, Alistair M. S.; Gessler, Paul E.; Morgan, Penelope, 2006. Regression modeling and mapping of coniferous forest basal area and tree density from discrete-return lidar and multispectral data
    Lentile, Leigh B.; Holden, Zachary A.; Smith, Alistair M. S.; Falkowski, Michael J.; Hudak, Andrew T.; Morgan, Penelope; Lewis, Sarah A.; Gessler, Paul E.; Benson, Nate C., 2006. Remote sensing techniques to assess active fire characteristics and post-fire effects
    Hudak, Andrew T.; Lewis, Sarah A.; Robichaud, Pete R.; Morgan, P.; Bobbitt, M.; Lentile, L.; Smith, A.; Holden, Z.; Clark, J.; McKinley, R., 2006. Sensitivity of Landsat image-derived burn severity indices to immediate post-fire effects
    Falkowski, Michael J.; Gessler, Paul E.; Morgan, Penelope; Hudak, Andrew T.; Smith, Alistair M. S., 2005. Characterizing and mapping forest fire fuels using ASTER imagery and gradient modeling
    Berterretche, Mercedes; Hudak, Andrew T.; Cohen, Warren B.; Maiersperger, Thomas K.; Gower, Stith T.; Dungan, Jennifer, 2005. Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest.
    Lefsky, Michael A.; Hudak, Andrew T.; Cohen, Warren B.; Acker, S. A., 2005. Geographic variability in lidar predictions of forest stand structure in the Pacific Northwest
    Lefsky, Michael A.; Hudak, Andrew T.; Cohen, Warren B.; Acker, S.A., 2005. Patterns of covariance between forest stand and canopy structure in the Pacific Northwest.
    Hudak, Andrew T.; Evans, Jeffrey S.; Falkowski, Michael J.; Crookston, Nicholas L.; Gessler, Paul E.; Morgan, Penelope; Smith, Alistair M. S., 2005. Predicting plot basal area and tree density in mixed-conifer forest from lidar and Advanced Land Imager (ALI) data
    Smith, Alistair M.S.; Wooster, Martin J.; Drake, Nick A.; Dipotso, Frederick M.; Falkowski, Michael J.; Hudak, Andrew T., 2005. Testing the potential of multi-spectral remote sensing for retrospectively estimating fire severity in African savannahs
    Falkowski, Michael J.; Gessler, Paul; Morgan, Penelope; Smith, Alistair M. S.; Hudak, Andrew T., 2004. Evaluating ASTER satellite imagery and gradient modeling for mapping and characterizing wildland fire fuels
    Falkowski, Michael J.; Gessler, Paul; Morgan, Penelope; Smith, Alistair M. S.; Hudak, Andrew T., 2004. Evaluating the ASTER sensor for mapping and characterizing forest fire fuels in northern Idaho
    Hudak, Andrew T.; Robichaud, Pete R.; Evans, Jeffery B.; Clark, Jess; Lannom, Keith; Morgan, Penelope; Stone, Carter, 2004. Field validation of Burned Area Reflectance Classification (BARC) products for post fire assessment
    Flasse, Stephane P.; Trigg, Simon N.; Ceccato, Pietro N.; Perryman, Anita H.; Hudak, Andrew T.; Thompson, Mark W.; Brockett, Bruce H.; Drame, Moussa; Ntabeni, Tim; Frost, Philip E.; Landmann, Tobias; le Roux, Johan L., 2004. Remote sensing of vegetation fires and its contribution to a fire management information system
    Hudak, Andrew T.; Morgan, Penelope; Stone, Carter; Robichaud, Pete R.; Jain, Terrie B.; Clark, Jess, 2004. The relationship of field burn severity measures to satellite-derived Burned Area Reflectance Classification (BARC) maps
    Hudak, Andrew T.; Fairbanks, D. H. K.; Brockett, B. H., 2004. Trends in fire patterns in a southern African savanna under alternative land use practices
    Hudak, Andrew T.; Wessman, C. A.; Seastedt, T. R., 2003. Woody overstorey effects on soil carbon and nitrogen pools in South African savanna
    Hudak, Andrew T.; Lefsky, Michael A.; Cohen, Warren B.; Berterretche, Mercedes, 2002. Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy height.
    Byers, Bruce A; Cunliffe, Robert N.; Hudak, Andrew T., 2001. Linking the conservation of culture and nature: A case study of sacred forests in Zimbabwe
    Hudak, Andrew T.; Brockett, Bruce H.; Wessman, Carol A., 1998. Fire scar mapping in a southern African savanna
    Armillaria spp.
    Background Root diseases are a primary cause of reduced timber volume, decreased carbon sequestration, and impaired ecosystem function. In the inland northwestern USA, root diseases have accounted for more losses in timber volume than forest fires or other disturbances. Management options to combat losses from root diseases have been limited. Armillaria altimontana and A. solidipes are soil fungi that frequently co-occur in the northwestern USA.  Armillaria solidipes has been well-documented as a virulent primary pathogen that is among most damaging causes of mortality and growth loss in coniferous forests.  In contrast, little is known about the influence of A. altimontana on tree health and growth.
    View of active fire burning surface fuels in a prescribed burn block at Eglin Air Force Base in Florida on February 6, 2011. The overstory is dominated by fire-dependent longleaf pine (photo credit: Andrew T. Hudak).
    Build-up of woody and herbaceous fuels increases the risk of hazardous wildfires. Using airborne light detection and ranging (LiDAR) scientists are examining fuel build up between wildfires to examine the relationship between surface fuels and fire energy. By integrating the repeated measures of heat flux imaged over the whole duration of a fire, the total energy released was mapped across an entire burn area. Airborne remote sensing provides multiple measures to help advance fire science.
    Fig. 4. Imputations of trees per hectare (a), basal area (b) and dominant tree species (c) from airborne lidar across Eglin AFB, and Plot ID (d) imputed as an ancillary variable (i.e., having no weight in the model). This model used for mapping was based
    Forest, fuel, and fire management strategies and decisions applied at the scale of forest stands influence not just the tree overstory but also understory plant composition and structure. Understory plants and forest floor materials constitute the surface fuels burned in prescribed fires. Researchers associated LiDAR data from Eglin Air Force Base in Florida with field plot data and fire management records.
    The costs of fighting wildfires have dramatically increased in the past decade, as have the size and severity of wildfires. Rocky Mountain Research Station scientists and collaborators at the University of Idaho undertook a literature review and case study analysis to answer the question: Can fuel treatments mitigate wildfire effects?
    Example of high-resolution LiDar data of canopy heights.
    Airborne Light Detection and Ranging (LiDAR) technology uses lasers mounted on aircraft to image the 3-D structure of trees and other objects on the ground. RMRS Research Forester Andrew Hudak and others are developing relationships between LiDAR estimates and traditional forestry measures collected on the ground to develop maps of forest biomass and predict changes over time. Managers can benefit from this precise, spatially explicit information for forest planning as climate changes into the future.
    The Fire and Smoke Model Evaluation Experiment (FASMEE) is a large-scale interagency effort to identify how fuels, fire behavior, fire energy and meteorology interact to determine the dynamics of smoke plumes, the long-range transport of smoke and local fire effects such as soil heating and vegetative response. FASMEE is designed to collect observations from large prescribed fires by combining Light Detection and Ranging (LiDAR), radar, ground monitoring, aircraft and satellite imagery, and weather and atmospheric measurements. Knowing more about how wildland fire operates helps land managers better predict fire behavior, smoke impacts, and the short- to long-term effects of fire. It also promotes increased public and firefighter safety and aids in the allocation of firefighting resources.
    Many large fires have occurred in recent decades across the western United States and projections predict this trend to continue with increasingly warmer and drier conditions, meaning extensive areas have and will burn severely. Accurate estimates of fuel conditions and vegetation recovery rates of various ecosystems with time since last burn would assist fuel and fire management decisions. Understanding vegetation response trajectories based upon burn severity and other post-burn indicators will increase our ability to effectively prioritize management options and planning to address long-term fuel and fire management objectives.
    The cumulative area of LiDAR collections across multiple ownerships in the northwestern United States has reached the point that land managers of the U.S. Forest Service (USFS) and other stakeholders would greatly benefit from a strategy for how to utilize LiDAR for regional aboveground biomass inventory. The need for Carbon Monitoring Systems (CMS) can be more robustly addressed by using not only available NASA satellite data products, but also commercial airborne LiDAR data collections.
    Longleaf pine ecosystems are remarkably rich in plant species and represent the dominant upland forest type in several southeastern military bases. We are coupling a series of field experiments with data mining exercises to help managers monitor the impact of various activities on the understory plant community.
    The Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE) is a collaborative effort in longleaf pine ecosystems to collect and integrate quality-assured fuel, fire, and atmospheric data for development and evaluation of fuel, fire behavior, smoke, and fire effects models.