What is she best known for?
The fields of study she is best known for:
- Remote sensing
- Ecosystem
- Geometry
Remote sensing, Lidar, Canopy, Basal area and Altimeter are her primary areas of study.
Her work on Endmember as part of her general Remote sensing study is frequently connected to Footprint, Elevation, Waveform and Sensor fusion, thereby bridging the divide between different branches of science.
Her study in Lidar is interdisciplinary in nature, drawing from both Biomass, Land cover and Hyperspectral imaging.
Her work carried out in the field of Canopy brings together such families of science as Tree, Tree structure and Interferometric synthetic aperture radar.
Michelle Hofton focuses mostly in the field of Basal area, narrowing it down to topics relating to Vegetation and, in certain cases, Forest ecology, Tropics and Temperate rainforest.
The various areas that she examines in her Altimeter study include Image sensor, Radiation, Laser and Altitude.
Her most cited work include:
- Estimation of tropical forest structural characteristics using large-footprint lidar (485 citations)
- The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography (408 citations)
- Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy (311 citations)
What are the main themes of her work throughout her whole career to date?
Michelle Hofton spends much of her time researching Remote sensing, Lidar, Canopy, Vegetation and Elevation.
Her Remote sensing research is multidisciplinary, incorporating perspectives in Terrain and Laser.
The concepts of her Lidar study are interwoven with issues in Biomass, Experimental forest, Tree canopy, Land cover and Transect.
Her Biomass study incorporates themes from Tropical forest and Ecosystem model.
Her Canopy study combines topics from a wide range of disciplines, such as Atmospheric sciences, Secondary forest, Leaf area index, Shuttle Radar Topography Mission and Physical geography.
The study incorporates disciplines such as Biodiversity, Habitat, Basal area, Remote sensing and Forest ecology in addition to Vegetation.
She most often published in these fields:
- Remote sensing (62.50%)
- Lidar (61.36%)
- Canopy (31.82%)
What were the highlights of her more recent work (between 2017-2021)?
- Lidar (61.36%)
- Remote sensing (62.50%)
- Footprint (20.45%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Lidar, Remote sensing, Footprint, Biogeosciences and Aboveground biomass.
Her study in Lidar is interdisciplinary in nature, drawing from both Trace gas, Geospatial analysis, Biomass, Canopy and Vegetation.
Her work carried out in the field of Canopy brings together such families of science as Chronosequence, Secondary forest, Tropical forest, Physical geography and Carbon sink.
Her Vegetation research is multidisciplinary, relying on both Tree canopy, Forest restoration, Greenhouse gas and Sustainable development.
Michelle Hofton performs multidisciplinary study on Remote sensing and Monitoring system in her works.
Michelle Hofton interconnects Altimeter, Biodiversity, Ecosystem model and Leaf area index in the investigation of issues within Atmospheric sciences.
Between 2017 and 2021, her most popular works were:
- The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography (82 citations)
- The GEDI simulator: A large-footprint waveform lidar simulator for calibration and validation of spaceborne missions (51 citations)
- Biomass estimation from simulated GEDI, ICESat-2 and NISAR across environmental gradients in Sonoma County, California (29 citations)
In her most recent research, the most cited papers focused on:
- Ecosystem
- Biodiversity
- Remote sensing
Michelle Hofton mainly focuses on Lidar, Biodiversity, Daytime, Reference dataset and Transect.
In her study, which falls under the umbrella issue of Lidar, Simulation is strongly linked to Laser scanning.
Her studies deal with areas such as Atmospheric sciences, Leaf area index, Vegetation, Altimeter and Ecosystem model as well as Biodiversity.
Her Ecosystem model research incorporates themes from Biomass and Canopy.
Her Daytime research is multidisciplinary, incorporating perspectives in Forest management, Remote sensing and Aboveground carbon.
Her Calibration research encompasses a variety of disciplines, including Noise and Footprint.
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