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.
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.
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
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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Environmental science : Agree on biodiversity metrics to track from space
Andrew K. Skidmore;Nathalie Pettorelli;Nicholas C. Coops;Gary N. Geller.
Generating pit-free canopy height models from airborne lidar
Anahita Khosravipour;Andrew K. Skidmore;Martin Isenburg;Tiejun Wang.
Photogrammetric Engineering and Remote Sensing (2014)
Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions
Nathalie Pettorelli;Martin Wegmann;Martin Wegmann;Andrew Skidmore;Sander Mucher.
Soil erosion dynamics response to landscape pattern
Wei Ouyang;Andrew K. Skidmore;Fanghua Hao;Tiejun Wang.
Science of The Total Environment (2010)
Methods and strategy for modeling daily global solar radiation with measured meteorological data – A case study in Nanchang station, China
Guofeng Wu;Guofeng Wu;Yaolin Liu;Tiejun Wang.
Energy Conversion and Management (2007)
Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island
Anton Vrieling;Michele Meroni;Roshanak Darvishzadeh;Andrew K. Skidmore;Andrew K. Skidmore.
Remote Sensing of Environment (2018)
Mapping spatio-temporal variation of grassland quantity and quality using MERIS data and the PROSAIL model
Yali Si;Yali Si;Martin Schlerf;Raul Zurita-Milla;Andrew Skidmore.
Remote Sensing of Environment (2012)
Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns.
Yali Si;Andrew K Skidmore;Tiejun Wang;Willem F de Boer.
Geospatial Health (2009)
Transient Thermo-Mechanical Analysis of Functionally Graded Hollow Circular Cylinders
Z S Shao;T J Wang;K K Ang.
Journal of Thermal Stresses (2007)
A Review: Individual Tree Species Classification Using Integrated Airborne LiDAR and Optical Imagery with a Focus on the Urban Environment
Kepu Wang;Tiejun Wang;Xuehua Liu.
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