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.
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.
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.
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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Estimation of tropical forest structural characteristics using large-footprint lidar
Jason B. Drake;Ralph O. Dubayah;David B. Clark;Robert G. Knox.
Remote Sensing of Environment (2002)
The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography
J.Bryan Blair;David L Rabine;Michelle A Hofton.
Isprs Journal of Photogrammetry and Remote Sensing (1999)
Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy
Peter Hyde;Ralph Dubayah;Wayne Walker;J. Bryan Blair.
Remote Sensing of Environment (2006)
Decomposition of laser altimeter waveforms
M.A. Hofton;J.B. Minster;J.B. Blair.
IEEE Transactions on Geoscience and Remote Sensing (2000)
Above-ground biomass estimation in closed canopy Neotropical forests using lidar remote sensing: factors affecting the generality of relationships
Jason B. Drake;Robert G. Knox;Ralph O. Dubayah;David B. Clark.
Global Ecology and Biogeography (2003)
Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica
R. O. Dubayah;S. L. Sheldon;D. B. Clark;M. A. Hofton.
Journal of Geophysical Research (2010)
The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography
Ralph Dubayah;James Bryan Blair;Scott Goetz;Lola Fatoyinbo.
Science of Remote Sensing. 1: 100002. (2020)
Mapping forest structure for wildlife habitat analysis using waveform lidar: Validation of montane ecosystems
P. Hyde;R. Dubayah;B. Peterson;J.B. Blair.
Remote Sensing of Environment (2005)
Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest
Jeanne E. Anderson;Lucie C. Plourde;Mary E. Martin;Bobby H. Braswell.
Remote Sensing of Environment (2008)
Modeling laser altimeter return waveforms over complex vegetation using high-resolution elevation data
J. Bryan Blair;Michelle A. Hofton.
Geophysical Research Letters (1999)
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