Kenji Omasa

What is he best known for?

The fields of study he is best known for:

• Botany
• Ecology
• Artificial intelligence

Kenji Omasa mainly focuses on Botany, Remote sensing, Lidar, Canopy and Germination. His work on Thematic Mapper is typically connected to Universal Soil Loss Equation as part of general Remote sensing study, connecting several disciplines of science. His Lidar study integrates concerns from other disciplines, such as Zelkova, Mean squared error, Scale, Leaf area density and Voxel.

His Canopy study incorporates themes from Kyoto Protocol, Carbon stock, Zenith, Biogeochemical cycle and Carbon sink. His research in Germination intersects with topics in Salinity and Seedling. His study in Stamen is interdisciplinary in nature, drawing from both Dehiscence and Cultivar.

His most cited work include:

• Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar (260 citations)
• Integrated effects of air pollution and climate change on forests: a northern hemisphere perspective. (232 citations)
• 3D lidar imaging for detecting and understanding plant responses and canopy structure (229 citations)

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

His primary areas of study are Remote sensing, Botany, Lidar, Photosynthesis and Chlorophyll fluorescence. His work deals with themes such as Pixel and Vegetation, which intersect with Remote sensing. The Botany study which covers Ozone that intersects with Deciduous.

His study looks at the intersection of Lidar and topics like Canopy with Leaf area index. As a member of one scientific family, Kenji Omasa mostly works in the field of Photosynthesis, focusing on Fluorescence and, on occasion, Electron transport chain. His Chlorophyll fluorescence study deals with Photosystem II intersecting with Photochemistry.

He most often published in these fields:

• Remote sensing (31.12%)
• Botany (23.65%)
• Lidar (14.52%)

What were the highlights of his more recent work (between 2009-2021)?

• Remote sensing (31.12%)
• Lidar (14.52%)
• Vegetation (11.20%)

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

The scientist’s investigation covers issues in Remote sensing, Lidar, Vegetation, Remote sensing and Artificial intelligence. Kenji Omasa performs integrative study on Remote sensing and Spectral index. His Lidar research includes elements of Leaf area density, Canopy, Resolution and Ginkgo.

His study in the field of Normalized Difference Vegetation Index also crosses realms of Shore. His study looks at the relationship between Remote sensing and topics such as Laser-induced fluorescence, which overlap with Chlorophyll. His Artificial intelligence study combines topics in areas such as Linear regression, Computer vision and Pattern recognition.

Between 2009 and 2021, his most popular works were:

• Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light. (104 citations)
• Estimation of soil moisture using optical/thermal infrared remote sensing in the Canadian Prairies (73 citations)
• Comparative evaluation of the Vegetation Dryness Index (VDI), the Temperature Vegetation Dryness Index (TVDI) and the improved TVDI (iTVDI) for water stress detection in semi-arid regions of Iran (73 citations)

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

• Botany
• Ecology
• Artificial intelligence

Kenji Omasa mainly investigates Remote sensing, Lidar, Botany, Canopy and Vegetation. The various areas that Kenji Omasa examines in his Remote sensing study include 3D modeling, Plant breeding, Mean squared error, Multi camera and Lens. Within one scientific family, Kenji Omasa focuses on topics pertaining to Broad-leaved tree under Lidar, and may sometimes address concerns connected to Volume, Voxel, Volume estimation and Solid modeling.

Kenji Omasa works mostly in the field of Botany, limiting it down to topics relating to Ozone and, in certain cases, Horticulture, Vapour Pressure Deficit and Atmospheric sciences, as a part of the same area of interest. His Canopy research is multidisciplinary, relying on both Area density, Laser beams, Resolution and Leaf area index. His Vegetation study combines topics from a wide range of disciplines, such as Chlorophyll and Chlorophyll content.