What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Remote sensing
His scientific interests lie mostly in Remote sensing, Vegetation, Lidar, Normalized Difference Vegetation Index and Climate change.
The Remote sensing study combines topics in areas such as Photochemical Reflectance Index, Spectroradiometer, Temporal resolution and Moderate-resolution imaging spectroradiometer.
His Moderate-resolution imaging spectroradiometer study incorporates themes from Atmospheric correction and Aerosol.
His studies in Vegetation integrate themes in fields like Sea surface temperature, Intertropical Convergence Zone, Precipitation, Amazon rainforest and Rainforest.
His biological study deals with issues like Forest inventory, which deal with fields such as Environmental resource management, Sustainable forest management and Data collection.
His Climate change research is multidisciplinary, incorporating elements of Communications satellite, Primary production and Biomass.
His most cited work include:
- A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS (388 citations)
- Lidar sampling for large-area forest characterization: A review (380 citations)
- Estimating canopy structure of Douglas-fir forest stands from discrete-return LiDAR (266 citations)
What are the main themes of his work throughout his whole career to date?
Thomas Hilker mainly focuses on Remote sensing, Vegetation, Canopy, Lidar and Primary production.
Thomas Hilker is interested in Satellite imagery, which is a branch of Remote sensing.
His work deals with themes such as Remote sensing, Climate change, Phenology and Seasonality, which intersect with Vegetation.
Thomas Hilker works mostly in the field of Canopy, limiting it down to topics relating to Crown and, in certain cases, Basal area, as a part of the same area of interest.
His research in Lidar intersects with topics in Biomass, Forest inventory and Scale.
His Primary production study combines topics from a wide range of disciplines, such as Meteorology, Carbon cycle and Terrestrial ecosystem.
He most often published in these fields:
- Remote sensing (85.44%)
- Vegetation (41.75%)
- Canopy (34.95%)
What were the highlights of his more recent work (between 2015-2018)?
- Remote sensing (85.44%)
- Vegetation (41.75%)
- Lidar (28.16%)
In recent papers he was focusing on the following fields of study:
Remote sensing, Vegetation, Lidar, Seasonality and Normalized Difference Vegetation Index are his primary areas of study.
The concepts of his Remote sensing study are interwoven with issues in Primary production, Forest inventory, Climate change and Sink.
His Vegetation research is multidisciplinary, relying on both Biomass, Atmospheric correction, National park, Moderate-resolution imaging spectroradiometer and Woodland.
His Lidar research includes elements of Forest management, Canopy, Transect, Thematic Mapper and Monte Carlo method.
His work is dedicated to discovering how Seasonality, Eddy covariance are connected with Dry season, Hyperspectral imaging and Interception and other disciplines.
His research investigates the link between Normalized Difference Vegetation Index and topics such as Amazon rainforest that cross with problems in Bidirectional reflectance distribution function, Phenology and Rainforest.
Between 2015 and 2018, his most popular works were:
- Remote Sensing Technologies for Enhancing Forest Inventories: A Review (249 citations)
- Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada (74 citations)
- Consistency of vegetation index seasonality across the Amazon rainforest (18 citations)
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