His primary areas of investigation include Remote sensing, Lidar, Vegetation, Canopy and Forest management. His Remote sensing research is mostly focused on the topic Remote sensing. His Lidar research is multidisciplinary, incorporating perspectives in Basal area, Sampling, Hydrology, Regression analysis and Algorithm.
The study incorporates disciplines such as Active fire, Soil water and Stage in addition to Vegetation. As part of the same scientific family, Andrew T. Hudak usually focuses on Canopy, concentrating on Leaf area index and intersecting with Inversion, Atmospheric sciences, Diameter at breast height, Edaphic and Western Hemlock. Andrew T. Hudak interconnects Natural resource, Natural resource management and Resource management in the investigation of issues within Forest management.
His main research concerns Remote sensing, Lidar, Vegetation, Ecology and Forestry. Crown is closely connected to Tree in his research, which is encompassed under the umbrella topic of Remote sensing. The various areas that Andrew T. Hudak examines in his Lidar study include Forest management, Forest inventory, Sampling and Basal area.
He has researched Vegetation in several fields, including Hydrology, Canopy and Physical geography. His work carried out in the field of Canopy brings together such families of science as Atmospheric sciences and Litter. His Fire regime research integrates issues from Boreal and Meteorology.
Andrew T. Hudak focuses on Ecosystem, Remote sensing, Forestry, Vegetation and Fire regime. His Ecosystem research incorporates themes from Biomass, Climate change and Land management. His study of Lidar is a part of Remote sensing.
His Lidar research includes themes of Forest management, Canopy, Temperate coniferous forest and Remote sensing. His Forestry research incorporates elements of Ecological succession and Precipitation. His Fire regime study integrates concerns from other disciplines, such as Species richness, Physical geography and Prescribed burn.
The scientist’s investigation covers issues in Ecosystem, Prescribed burn, Fire behavior, Species diversity and Species richness. Andrew T. Hudak works mostly in the field of Ecosystem, limiting it down to concerns involving Forestry and, occasionally, Shrubland, Biodiversity, Steppe and Biomass. His biological study spans a wide range of topics, including Environmental planning, Meteorology, Smoke and Sustainability.
His research integrates issues of Graminoid, Seedling, Vegetation and Introduced species in his study of Species richness. His research in Fire regime focuses on subjects like Taiga, which are connected to Remote sensing. His Remote sensing research is multidisciplinary, incorporating elements of Physical geography and Time series.
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Remote sensing techniques to assess active fire characteristics and post-fire effects
Leigh B. Lentile;Zachary A. Holden;Alistair M. S. Smith;Michael J. Falkowski.
International Journal of Wildland Fire (2006)
Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data
Andrew T. Hudak;Nicholas L. Crookston;Jeffrey S. Evans;David E. Hall.
Remote Sensing of Environment (2008)
Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy height
Andrew T Hudak;Michael A Lefsky;Warren B Cohen;Mercedes Berterretche.
Remote Sensing of Environment (2002)
A Multiscale Curvature Algorithm for Classifying Discrete Return LiDAR in Forested Environments
IEEE Transactions on Geoscience and Remote Sensing (2007)
Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA
Michael J. Falkowski;Michael J. Falkowski;Jeffrey S. Evans;Sebastian Martinuzzi;Paul E. Gessler.
Remote Sensing of Environment (2009)
Mapping snags and understory shrubs for a LiDAR-based assessment of wildlife habitat suitability
Sebastián Martinuzzi;Lee A. Vierling;William A. Gould;Michael J. Falkowski.
Remote Sensing of Environment (2009)
Linking the Conservation of Culture and Nature: A Case Study of Sacred Forests in Zimbabwe
Human Ecology (2001)
Automated estimation of individual conifer tree height and crown diameter via two-dimensional spatial wavelet analysis of lidar data
Michael J Falkowski;Alistair M.S Smith;Andrew T Hudak;Paul E Gessler.
Canadian Journal of Remote Sensing (2006)
Individual tree detection from Unmanned Aerial Vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest
Midhun Mohan;Carlos Alberto Silva;Carine Klauberg;Prahlad Jat.
Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys
Andrew T. Hudak;Eva K. Strand;Lee A. Vierling;John C. Byrne.
Remote Sensing of Environment (2012)
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