Harmonization of forest disturbance datasets of the conterminous United States from 1986-2011. Environmental Monitoring and Assessment.. In Press.
Modeling environmental suitability for large forest wildfires using past, present, and future climate normals. Forest Ecology and Management... In Press.
Primary and secondary remote sensing products predict post-fire Lewis's woodpecker nesting habitat. Northwest Science.. In Press.
Testing a Landsat-based approach for mapping disturbance causality in U.S. forests. Remote Sensing of Environment.. In Press.
Advances and Environmental Conditions of Spring Migration Phenology of American White Pelicans. Scientific Reports. 7. 2017.
How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? Forests. 8(4):98.. 2017.
The Normal Fire Environment—Modeling environmental suitability for large forest wildfires using past, present, and future climate normals. Forest Ecology and Management.. 390:173-186.. 2017.
Using Landsat time series and lidar to inform aboveground biomass baselines in northern Minnesota. Canadian Journal of Remote Sensing. 43:28-47.. 2017.
Detecting trends in landuse and landcover change of Nech Sar National Park, Ethiopia. Environmental Management . 57:137-147.. 2016.
Forest disturbance across the conterminous United States from 1985–2012: The emerging dominance of forest decline. Forest Ecology and Management. 360:242-252.. 2016.
A forest vulnerability index based on drought and high temperatures. Remote Sensing of Environment . 173:314-325.. 2016.
The global Landsat archive: Status, consolidation, and direction.. Remote Sensing of Environment . 185:271-283.. 2016.
Landsat Imagery Spectral Trajectories—Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance. Remote Sensing. 8(8). 2016.
Landsat-based monitoring of annual wetland change in the Willamette Valley of Oregon, USA from 1972 to 2012. Wetlands Ecology and Management . 24:73-92.. 2016.
Mapping post-fire habitat characteristics through the fusion of remote sensing tools. Remote Sensing of Environment . (173):294-303.. 2016.
Mapping suitable Lewis's woodpecker nesting habitat in a post-fire landscape. Northwest Science. 90:421-432.. 2016.
A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models. Revista de Teledetección (Spanish Journal of Remote Sensing) . 45:1-14.. 2016.
Attribution of disturbance change agent from Landsat time-series in support of habitat monitoring in the Puget Sound region, USA. Remote Sensing of Environment. 166:271-285.. 2015.
Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems. Remote Sensing of Environment . 169:128-138.. 2015.
Estimating forest aboveground biomass by low density lidar data in mixed broad-leaved forests in the Italian Pre-Alps. Forest Ecosystems . 2(10). 2015.
Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time. Remote Sensing of Environment. 162:67-83.. 2015.
Individual snag detection using neighborhood attribute filtered airborne lidar data. Remote Sensing of the Environment. 163:164-179.. 2015.
Northwest Forest Plan–The First 20 Years (1994-2013): Status and Trends of Late-successional and Old-growth Forests. Gen. Tech. Rep. :112p.. 2015.
Spatiotemporal dynamics of recent mountain pine beetle and western spruce budworm outbreaks across the Pacific Northwest Region, USA. Forest Ecology and Management. 339:71-86.. 2015.
The US Forest Carbon Accounting Framework: Stocks and Stock Change, 1990-2016. General Technical Report. :49p.. 2015.