What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Habitat
His primary areas of investigation include Remote sensing, Ecology, Canopy, Lidar and Mean squared error.
His specific area of interest is Remote sensing, where Tiejun Wang studies Backscatter.
His study in Flyway, Normalized Difference Vegetation Index, Vegetation, Mediterranean climate and Deciduous is carried out as part of his Ecology studies.
His Canopy research integrates issues from Elevation, Terrain, Leaf area index and Crown.
His Lidar study combines topics in areas such as Specular reflection and Intensity.
Tiejun Wang combines subjects such as Emissivity, Overcast, Propagation of uncertainty and Diurnal cycle with his study of Mean squared error.
His most cited work include:
- Environmental science : Agree on biodiversity metrics to track from space (221 citations)
- Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions (157 citations)
- Generating pit-free canopy height models from airborne lidar (116 citations)
What are the main themes of his work throughout his whole career to date?
Tiejun Wang focuses on Remote sensing, Ecology, Canopy, Habitat and Lidar.
His Remote sensing research includes themes of Mean squared error, Radiative transfer and Leaf area index.
His Canopy study incorporates themes from Chlorophyll, Atmospheric sciences, Partial least squares regression and Deciduous.
The Habitat study combines topics in areas such as Fragmentation, Spatial heterogeneity, Nature reserve and Ailuropoda melanoleuca.
Tiejun Wang has included themes like Point cloud, Elevation, Raster graphics, Backscatter and Tree species in his Lidar study.
His work carried out in the field of Remote sensing brings together such families of science as Biodiversity and Environmental resource management.
He most often published in these fields:
- Remote sensing (32.39%)
- Ecology (26.14%)
- Canopy (13.64%)
What were the highlights of his more recent work (between 2017-2021)?
- Remote sensing (32.39%)
- Lidar (11.36%)
- Canopy (13.64%)
In recent papers he was focusing on the following fields of study:
Tiejun Wang mostly deals with Remote sensing, Lidar, Canopy, Ecosystem and Leaf area index.
His Remote sensing study combines topics from a wide range of disciplines, such as Mean squared error and Atmospheric radiative transfer codes.
His Lidar study integrates concerns from other disciplines, such as Point cloud, Hyperspectral imaging, Algorithm, Random forest and Tree species.
His study on Canopy also encompasses disciplines like
- Growing season most often made with reference to Atmospheric sciences,
- Deciduous that connect with fields like Spectroradiometer.
His studies in Ecosystem integrate themes in fields like Environmental resource management, Geospatial analysis and Wetland.
The Leaf area index study combines topics in areas such as Soil science, Vegetation, Pollution and Scale.
Between 2017 and 2021, his most popular works were:
- Analysis of Sentinel-2 and RapidEye for Retrieval of Leaf Area Index in a Saltmarsh Using a Radiative Transfer Model (74 citations)
- Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island (65 citations)
- A Review: Individual Tree Species Classification Using Integrated Airborne LiDAR and Optical Imagery with a Focus on the Urban Environment (48 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Ecosystem
Tiejun Wang spends much of his time researching Remote sensing, Leaf area index, Lidar, Atmospheric radiative transfer codes and Canopy.
Multispectral image and Satellite imagery are among the areas of Remote sensing where Tiejun Wang concentrates his study.
His Leaf area index study frequently links to related topics such as Vegetation.
His work deals with themes such as Segmentation, Hyperspectral imaging, Urban heat island, Random forest and Tree species, which intersect with Lidar.
His research integrates issues of Spatial ecology, Phenology and Spatial variability in his study of Atmospheric radiative transfer codes.
In his work, Ecosystem, Uniform distribution, Skewness, Beech and Mode is strongly intertwined with Atmospheric sciences, which is a subfield of Canopy.
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