What is he best known for?
The fields of study he is best known for:
- Ecology
- Ecosystem
- Climate change
Robert E. Kennedy mainly focuses on Remote sensing, Thematic Mapper, Land cover, Satellite imagery and Vegetation.
The Change detection research Robert E. Kennedy does as part of his general Remote sensing study is frequently linked to other disciplines of science, such as Resource, therefore creating a link between diverse domains of science.
His Thematic Mapper research is multidisciplinary, relying on both Leaf area index and Normalized Difference Vegetation Index.
Robert E. Kennedy focuses mostly in the field of Land cover, narrowing it down to matters related to Evapotranspiration and, in some cases, Albedo, Global change, Spectral bands, Meteorology and Snow.
The concepts of his Satellite imagery study are interwoven with issues in Remote sensing, Forest inventory and Phenology.
Robert E. Kennedy interconnects Secondary forest, Scale, Basal area and Disturbance in the investigation of issues within Vegetation.
His most cited work include:
- Landsat-8: Science and Product Vision for Terrestrial Global Change Research (1061 citations)
- Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms (771 citations)
- Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites (507 citations)
What are the main themes of his work throughout his whole career to date?
Robert E. Kennedy mostly deals with Remote sensing, Disturbance, Ecology, Land cover and Vegetation.
Remote sensing and Random forest are frequently intertwined in his study.
His research in Ecology tackles topics such as Physical geography which are related to areas like Ecosystem and Sink.
His Land cover research focuses on subjects like Global change, which are linked to Tundra and Seasonality.
His work carried out in the field of Vegetation brings together such families of science as Satellite imagery, Biomass, Thematic map and Forestry, Taiga.
His Satellite imagery research incorporates elements of Spectral bands and Aerial photography.
He most often published in these fields:
- Remote sensing (38.60%)
- Disturbance (21.93%)
- Ecology (22.81%)
What were the highlights of his more recent work (between 2015-2021)?
- Remote sensing (38.60%)
- Atmospheric sciences (9.65%)
- Land cover (16.67%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Remote sensing, Atmospheric sciences, Land cover, Spatial ecology and Disturbance.
His work in the fields of Remote sensing overlaps with other areas such as Resolution.
His study in Atmospheric sciences is interdisciplinary in nature, drawing from both Lidar, Canopy and Biome.
His Land cover research integrates issues from Change detection, Aerial photography and Land use, land-use change and forestry.
His research integrates issues of Biomass, Tree canopy, Vegetation and Scale in his study of Spatial ecology.
His research on Vegetation also deals with topics like
- Temperate climate that intertwine with fields like Ecosystem,
- Woody plant which is related to area like Disturbance.
Between 2015 and 2021, his most popular works were:
- Current status of Landsat program, science, and applications (184 citations)
- How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms (89 citations)
- Implementation of the LandTrendr Algorithm on Google Earth Engine (82 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Artificial intelligence
Robert E. Kennedy mainly focuses on Remote sensing, Change detection, Land cover, Disturbance and Set.
His Remote sensing study incorporates themes from Agroforestry and Forest inventory.
His study looks at the relationship between Change detection and fields such as Algorithm, as well as how they intersect with chemical problems.
Land cover and Climate change mitigation are commonly linked in his work.
His work in Remote sensing covers topics such as Field which are related to areas like Vegetation.
His work is dedicated to discovering how Data mining, Random forest are connected with Ensemble learning, Multispectral image and Satellite imagery and other disciplines.
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