What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Artificial intelligence
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 most cited work include:
- Assessing forest metrics with a ground-based scanning lidar (313 citations)
- Testing LiDAR models of fractional cover across multiple forest ecozones (162 citations)
- Twenty-three unsolved problems in hydrology (UPH)–a community perspective (144 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Lidar (53.80%)
- Remote sensing (50.29%)
- Hydrology (22.81%)
What were the highlights of his more recent work (between 2018-2021)?
- Remote sensing (50.29%)
- Lidar (53.80%)
- Wetland (9.36%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- Twenty-three unsolved problems in hydrology (UPH)–a community perspective (144 citations)
- Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results (34 citations)
- SAR and Lidar Temporal Data Fusion Approaches to Boreal Wetland Ecosystem Monitoring (20 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Climate change
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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