Kenneth J. Ranson

What is he best known for?

The fields of study he is best known for:

• Ecology
• Remote sensing
• Meteorology

His scientific interests lie mostly in Remote sensing, Lidar, Synthetic aperture radar, Canopy and Backscatter. Kenneth J. Ranson studies Radiance which is a part of Remote sensing. His biological study spans a wide range of topics, including Tree canopy, Altimeter, Shuttle Radar Topography Mission and Imaging spectrometer.

His biological study spans a wide range of topics, including Radar imaging and Digital elevation model. As part of the same scientific family, Kenneth J. Ranson usually focuses on Canopy, concentrating on Taiga and intersecting with Ecotone and Tundra. His study in Backscatter is interdisciplinary in nature, drawing from both Productivity, Atmospheric sciences and C band.

His most cited work include:

• Forest vertical structure from GLAS : An evaluation using LVIS and SRTM data (229 citations)
• Mapping biomass of a northern forest using multifrequency SAR data (192 citations)
• NASA Goddards LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager (191 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Remote sensing, Taiga, Synthetic aperture radar, Ecotone and Vegetation. His Remote sensing research includes themes of Canopy and Meteorology. His Taiga study integrates concerns from other disciplines, such as Elevation, Boreal and Physical geography.

His Synthetic aperture radar research incorporates themes from Biomass, Radar imaging, Atmospheric sciences and Hydrology. His Ecotone research is multidisciplinary, relying on both Crown closure, Tundra and Tree line. His Vegetation research integrates issues from Nadir, Satellite imagery, Deciduous and Radiance.

He most often published in these fields:

• Remote sensing (60.48%)
• Taiga (28.23%)
• Synthetic aperture radar (24.19%)

What were the highlights of his more recent work (between 2010-2021)?

• Remote sensing (60.48%)
• Taiga (28.23%)
• Ecotone (17.74%)

In recent papers he was focusing on the following fields of study:

Kenneth J. Ranson mostly deals with Remote sensing, Taiga, Ecotone, Lidar and Larch. He is interested in Synthetic aperture radar, which is a field of Remote sensing. Kenneth J. Ranson has included themes like Boreal, Tundra and Satellite imagery in his Taiga study.

His studies in Ecotone integrate themes in fields like Tree line and Physical geography. His study explores the link between Lidar and topics such as Interferometric synthetic aperture radar that cross with problems in Remote sensing and Stereo imagery. Kenneth J. Ranson interconnects Permafrost and Transect in the investigation of issues within Larch.

Between 2010 and 2021, his most popular works were:

• NASA Goddards LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager (191 citations)
• Wildfires Dynamics in Siberian Larch Forests (54 citations)
• Achieving accuracy requirements for forest biomass mapping: A spaceborne data fusion method for estimating forest biomass and LiDAR sampling error (44 citations)

In his most recent research, the most cited papers focused on:

• Ecology
• Remote sensing
• Meteorology

Kenneth J. Ranson mainly focuses on Remote sensing, Lidar, Taiga, Vegetation and Ecotone. Remote sensing and Thematic map are commonly linked in his work. The concepts of his Lidar study are interwoven with issues in Synthetic aperture radar and Meteorology.

His research in Taiga tackles topics such as Boreal which are related to areas like Tundra, Polygon and Tree canopy. Kenneth J. Ranson works mostly in the field of Vegetation, limiting it down to concerns involving Elevation and, occasionally, Interferometric synthetic aperture radar, Deciduous and Photogrammetry. The study incorporates disciplines such as Physical geography and Climate change, Tree line in addition to Ecotone.