What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Agriculture
His main research concerns Dry season, Ecology, Ecosystem, Phenology and Tropical ecology.
Kaiyu Guan usually deals with Ecosystem and limits it to topics linked to Vegetation and Growing season, Woodland, Wet season, Physical geography and Deciduous.
Kaiyu Guan combines subjects such as Tropical savanna climate, Precipitation and Amazon rainforest with his study of Tropical ecology.
The study incorporates disciplines such as Tropical and subtropical dry broadleaf forests and Tropical vegetation in addition to Tropical savanna climate.
He has researched Plant litter in several fields, including Seasonality, Canopy, Evapotranspiration and Evergreen.
The Canopy study combines topics in areas such as Photosynthetic capacity, Productivity, Carbon cycle and Terrestrial ecosystem.
His most cited work include:
- A Drought Monitoring and Forecasting System for Sub-Sahara African Water Resources and Food Security (245 citations)
- Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests. (198 citations)
- Photosynthetic seasonality of global tropical forests constrained by hydroclimate (196 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Remote sensing, Atmospheric sciences, Vegetation, Climate change and Canopy.
His biological study spans a wide range of topics, including Photosynthesis, Chlorophyll fluorescence, Photosynthetically active radiation, Eddy covariance and Spatial ecology.
Kaiyu Guan has included themes like Deciduous, Ecosystem and Growing season in his Vegetation study.
His Ecosystem study incorporates themes from Dry season, Seasonality and Wet season.
While the research belongs to areas of Climate change, he spends his time largely on the problem of Yield, intersecting his research to questions surrounding Crop yield.
His Canopy research includes elements of Photosynthetic capacity and Phenology.
He most often published in these fields:
- Remote sensing (26.03%)
- Atmospheric sciences (26.03%)
- Vegetation (19.86%)
What were the highlights of his more recent work (between 2019-2021)?
- Atmospheric sciences (26.03%)
- Remote sensing (26.03%)
- Chlorophyll fluorescence (10.27%)
In recent papers he was focusing on the following fields of study:
Kaiyu Guan mainly investigates Atmospheric sciences, Remote sensing, Chlorophyll fluorescence, Photosynthesis and Vegetation.
His Atmospheric sciences research is multidisciplinary, relying on both Primary production, Canopy, Normalized Difference Vegetation Index and Photosynthetically active radiation.
His Remote sensing study combines topics from a wide range of disciplines, such as Mean squared error, Range, Precision agriculture and Sensor fusion.
His study in Photosynthesis is interdisciplinary in nature, drawing from both Partial least squares regression and Growing season.
His study ties his expertise on Crop yield together with the subject of Vegetation.
His work in Crop yield addresses issues such as Field, which are connected to fields such as Yield.
Between 2019 and 2021, his most popular works were:
- Towards a multiscale crop modelling framework for climate change adaptation assessment (34 citations)
- Do cover crops benefit soil microbiome? A meta-analysis of current research (25 citations)
- Radiance-based NIRv as a proxy for GPP of corn and soybean (16 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Agriculture
The scientist’s investigation covers issues in Atmospheric sciences, Remote sensing, Enhanced vegetation index, Troposphere and Primary production.
His studies in Atmospheric sciences integrate themes in fields like Dry season and Vegetation.
His Vegetation research is multidisciplinary, incorporating perspectives in Ecosystem, Biogeochemical cycle and Amazon rainforest.
His study on Remote sensing also encompasses disciplines like
- Resampling, Spectral bands and CubeSat most often made with reference to Mean squared error,
- Precision agriculture which intersects with area such as Multi-source, Multispectral image, Albedo and Evapotranspiration.
The various areas that Kaiyu Guan examines in his Troposphere study include Crop productivity, Predictive modelling, Crop yield and Chlorophyll fluorescence.
His research in Primary production intersects with topics in Satellite remote sensing, Carbon cycle, Photosynthetically active radiation and Radiance.
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