B. Bright

发表

Estimating aboveground carbon stocks of a forest affected by mountain pine beetle in Idaho using lidar and multispectral imagery

J. Hicke, A. Hudak, B. Bright, 2012 .

A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA

Jinwei Dong, R. Kennedy, R. McGaughey, 2020 .

Use of ordinary kriging and Gaussian conditional simulation to interpolate airborne fire radiative energy density estimates

C. Silva, A. Hudak, L. Boschetti, 2018 .

Fire weather conditions and fire–atmosphere interactions observed during low-intensity prescribed fires – RxCADRE 2012

A. Hudak, B. Bright, T. Zajkowski, 2016 .

Measuring radiant emissions from entire prescribed fires with ground, airborne and satellite sensors – RxCADRE 2012

William D. Holley, Benjamin S. Hornsby, W. Schroeder, 2016 .

Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types

R. Kennedy, A. Hudak, B. Bright, 2019, Fire Ecology.

Prediction of Forest Canopy and Surface Fuels from Lidar and Satellite Time Series Data in a Bark Beetle-Affected Forest

Robert E. Kennedy, Todd J. Hawbaker, Andrew T. Hudak, 2017 .

Predicting live and dead tree basal area of bark beetle affected forests from discrete-return lidar

H. Andersen, R. McGaughey, A. Hudak, 2013 .

Towards Spatially Explicit Quantification of Pre- and Postfire Fuels and Fuel Consumption from Traditional and Point Cloud Measurements

D. Weise, Gabriel A. Prata, A. Hudak, 2020 .

Introducing Close-Range Photogrammetry for Characterizing Forest Understory Plant Diversity and Surface Fuel Structure at Fine Scales

Andrew T. Hudak, Benjamin C. Bright, Joseph J. O’Brien, 2016 .

Effects of bark beetle‐caused tree mortality on biogeochemical and biogeophysical MODIS products

Benjamin C. Bright, Arjan J. H. Meddens, Jeffrey A. Hicke, 2013 .

Multidecadal trends in area burned with high severity in the Selway-Bitterroot Wilderness Area 1880–2012

Sean A. Parks, Andrew T. Hudak, Ashley Wells, 2017 .

The Cooney Ridge Fire Experiment: An Early Operation to Relate Pre-, Active, and Post-Fire Field and Remotely Sensed Measurements

R. G. Tissell, S. A. Lewis, B. Nordgren, 2018 .

Using Satellite Imagery to Evaluate Bark Beetle-Caused Tree Mortality Reported in Aerial Surveys in a Mixed Conifer Forest in Northern Idaho, USA

J. Hicke, A. Meddens, A. Hudak, 2020, Forests.

Short- and long-term effects of ponderosa pine fuel treatments intersected by the Egley Fire Complex, Oregon, USA

Darcy H. Hammond, A. Hudak, E. Strand, 2019 .

Biophysical Settings that Influenced Plantation Survival During the 2015 Wildfires in Northern Rocky Mountain Moist Mixed-Conifer Forests

A. Hudak, John C Byrne, B. Bright, 2021, Journal of Forestry.

Got shrubs? Precipitation mediates long-term shrub and introduced grass dynamics in chaparral communities after fire

A. Hudak, B. Bright, B. Newingham, 2019, Fire Ecology.

A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA

Jinwei Dong, R. Kennedy, R. McGaughey, 2020, Environmental Research Letters.

Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau

A. Hudak, B. Bright, R. Ottmar, 2022, Fire ecology.

Carbon Monitoring and Above Ground Biomass Trends: Anchor Forest Opportunities for Tribal, Private and Federal Relationships

A. Hudak, B. Bright, M. Corrao, 2022, Trees, Forests and People.

Point Cloud Based Mapping of Understory Shrub Fuel Distribution, Estimation of Fuel Consumption and Relationship to Pyrolysis Gas Emissions on Experimental Prescribed Burns

Ashley M. Bradley, T. L. Myers, D. Weise, 2022, Fire.

Automated attribution of forest disturbance types from remote sensing data: A synthesis

J. Hicke, A. Meddens, A. Hudak, 2023, Remote Sensing of Environment.

Predicting live and dead basal area in bark beetle-affected forests from discrete-return LiDAR

J. Hicke, H. Andersen, R. McGaughey, 2012 .

Identifying conifer mortality induced by Armillaria root disease using airborne lidar and orthoimagery in south central Oregon

B. Cook, A. Hudak, B. Bright, 2022, Forest Ecology and Management.

Maximum entropy-based bioclimatic models predict areas of current and future suitable habitat for Armillaria species in western Oregon and western Washington

B. Bright, D. C. Shaw, A. L. Smith, 2020 .

Mapping Multiple Insect Outbreaks across Large Regions Annually Using Landsat Time Series Data

Benjamin C. Bright, Andrew T. Hudak, Arjan J. H. Meddens, 2020, Remote. Sens..

Overstory-derived surface fuels mediate plant species diversity in frequently burned longleaf pine forests

A. Hudak, B. Bright, E. L. Loudermilk, 2017 .

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

Benjamin S. Hornsby, A. Hudak, B. Bright, 2016 .

Landscape-scale analysis of aboveground tree carbon stocks affected by mountain pine beetles in Idaho

J. Hicke, A. Hudak, B. Bright, 2012 .

A spatially explicit model of tree leaf litter accumulation in fire maintained longleaf pine forests of the southeastern US

K. Robertson, A. Hudak, L. Boschetti, 2023, Ecological Modelling.

Measurements relating fire radiative energy density and surface fuel consumption – RxCADRE 2011 and 2012

Benjamin S. Hornsby, A. Hudak, B. Bright, 2016 .

Landsat Time Series and Lidar as Predictors of Live and Dead Basal Area Across Five Bark Beetle-Affected Forests

Robert E. Kennedy, Andrew T. Hudak, Benjamin C. Bright, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Inferring energy incident on sensors in low-intensity surface fires from remotely sensed radiation and using it to predict tree stem injury

A. Hudak, B. Bright, R. Kremens, 2019, International Journal of Wildland Fire.

High-resolution infrared thermography for capturing wildland fire behaviour: RxCADRE 2012

Benjamin S. Hornsby, A. Hudak, B. Bright, 2016 .

Mapping Forest Structure and Composition from Low-Density LiDAR for Informed Forest, Fuel, and Fire Management at Eglin Air Force Base, Florida, USA

Carlos Alberto Silva, Carine Klauberg, Joseph J. O’Brien, 2016 .

Predicting live and dead basal area from LandTrendr variables in beetle-affected forests

Robert E. Kennedy, Andrew Thomas Hudak, Benjamin C. Bright, 2013, MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images.

Forest Service-- National AgroforestryCenter 9-1-2012 Predicting Live and Dead Tree Basal Area in Bark Beetle-Affected Forests from Discrete-Return LiDAR

J. Hicke, H. Andersen, R. McGaughey, 2013 .