His primary scientific interests are in Lidar, Remote sensing, Canopy, Vegetation and Hydrology. His research in the fields of Light detection overlaps with other disciplines such as Magnitude. His studies in Remote sensing integrate themes in fields like Tree canopy, Laser and Understory.
His Canopy research incorporates themes from Boreal, Wetland and Standard deviation. His study in the field of Photochemical Reflectance Index also crosses realms of Photosynthetically active radiation. His Hydrology study combines topics in areas such as Elevation and Snow.
His scientific interests lie mostly in Lidar, Remote sensing, Hydrology, Canopy and Vegetation. His Lidar research is multidisciplinary, incorporating perspectives in Watershed, Terrain, Elevation, Physical geography and Digital elevation model. His research investigates the connection with Remote sensing and areas like Leaf area index which intersect with concerns in Pixel and Calibration.
His study in Canopy is interdisciplinary in nature, drawing from both Percentile, Atmospheric sciences, Forestry, Meteorology and Laser. His work in Vegetation addresses issues such as Eddy covariance, which are connected to fields such as Moderate-resolution imaging spectroradiometer. His Wetland research is multidisciplinary, incorporating elements of Remote sensing, Permafrost, Boreal and Surface water.
Chris Hopkinson spends much of his time researching Remote sensing, Lidar, Wetland, Boreal and Hydrology. Chris Hopkinson combines Remote sensing and Vegetation in his research. Chris Hopkinson has included themes like Point cloud, Surface water, Canopy, Snow and Physical geography in his Lidar study.
His Canopy research includes themes of Niche and Radiometric calibration. His Boreal study incorporates themes from Shrub, Climate change and Ecosystem. When carried out as part of a general Hydrology research project, his work on Floodplain and Hydrology is frequently linked to work in Earth and Digital media, therefore connecting diverse disciplines of study.
Chris Hopkinson focuses on Lidar, Hydrology, Wetland, Remote sensing and Vegetation. His work often combines Lidar and Trial and error studies. His Hydrology research includes elements of Earth, Digital media, Context, Discipline and Process.
Chris Hopkinson focuses mostly in the field of Wetland, narrowing it down to topics relating to Boreal and, in certain cases, Ecosystem, Remote sensing, Wetland classification, Riparian zone and Climate change. Chris Hopkinson mostly deals with Synthetic aperture radar in his studies of Remote sensing. He has researched Canopy in several fields, including Taxon, Niche, Biodiversity and Proxy.
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Assessing forest metrics with a ground-based scanning lidar
Chris Hopkinson;Laura Chasmer;Colin Young-Pow;Paul Treitz.
Canadian Journal of Forest Research (2004)
Twenty-three unsolved problems in hydrology (UPH)–a community perspective
Günter Blöschl;Marc F.P. Bierkens;Antonio Chambel;Christophe Cudennec.
Testing LiDAR models of fractional cover across multiple forest ecozones
Chris Hopkinson;Laura Chasmer.
Remote Sensing of Environment (2009)
Vegetation class dependent errors in lidar ground elevation and canopy height estimates in a boreal wetland environment
Chris Hopkinson;Laura E Chasmer;Gabor Sass;Irena F Creed.
Canadian Journal of Remote Sensing (2005)
The influence of flying altitude, beam divergence, and pulse repetition frequency on laser pulse return intensity and canopy frequency distribution
Canadian Journal of Remote Sensing (2007)
Investigating laser pulse penetration through a conifer canopy by integrating airborne and terrestrial lidar
Laura Chasmer;Chris Hopkinson;Paul Treitz.
Canadian Journal of Remote Sensing (2006)
Remote sensing of photosynthetic light-use efficiency across two forested biomes: Spatial scaling
Thomas Hilker;Forrest G. Hall;Forrest G. Hall;Nicholas C. Coops;Alexei Lyapustin;Alexei Lyapustin.
Remote Sensing of Environment (2010)
The uncertainty in conifer plantation growth prediction from multi-temporal lidar datasets
Chris Hopkinson;Laura Chasmer;R.J. Hall.
Remote Sensing of Environment (2008)
Mapping Snowpack Depth Beneath Forest Canopies Using Airborne Lidar
Chris Hopkinson;Mike Sitar;Laura Chasmer;Paul Treitz.
Photogrammetric Engineering and Remote Sensing (2004)
Statistical modelling of the snow depth distribution in open alpine terrain
T. Grünewald;J. Stötter;J. W. Pomeroy;R. Dadic;R. Dadic.
Hydrology and Earth System Sciences (2013)
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