2022 - Research.com Environmental Sciences in Canada Leader Award
2006 - Fellow of the Royal Society of Canada Academy of Science
His scientific interests lie mostly in Remote sensing, Leaf area index, Canopy, Vegetation and Atmospheric sciences. His study in Remote sensing is interdisciplinary in nature, drawing from both Black spruce, Pixel, Moderate-resolution imaging spectroradiometer, Radiative transfer and Normalized Difference Vegetation Index. His study explores the link between Leaf area index and topics such as Land cover that cross with problems in Evapotranspiration.
His Canopy study integrates concerns from other disciplines, such as Shrub, Boreal, Radiance, Spatial distribution and Taiga. His Vegetation research is multidisciplinary, incorporating elements of Photosynthetically active radiation, Multispectral Scanner, Satellite imagery and Deciduous. The concepts of his Atmospheric sciences study are interwoven with issues in Ecology, Growing season, Ecosystem, Carbon cycle and Boreal ecosystem.
His main research concerns Remote sensing, Atmospheric sciences, Leaf area index, Vegetation and Canopy. Jing M. Chen interconnects Bidirectional reflectance distribution function, Pixel, Land cover, Moderate-resolution imaging spectroradiometer and Normalized Difference Vegetation Index in the investigation of issues within Remote sensing. His Atmospheric sciences research includes themes of Eddy covariance, Ecosystem, Carbon cycle, Carbon sink and Terrestrial ecosystem.
His Ecosystem research integrates issues from Productivity, Climatology and Climate change. Jing M. Chen usually deals with Terrestrial ecosystem and limits it to topics linked to Hydrology and Soil water. His Leaf area index research includes elements of Primary production, Black spruce, Taiga and Deciduous.
Jing M. Chen focuses on Atmospheric sciences, Remote sensing, Terrestrial ecosystem, Canopy and Photosynthesis. He has included themes like Eddy covariance, Leaf area index, Carbon cycle, Vegetation and Carbon sink in his Atmospheric sciences study. Jing M. Chen has researched Leaf area index in several fields, including Meteorology and Ecosystem model.
His Remote sensing study combines topics in areas such as Photochemical Reflectance Index and Chlorophyll fluorescence. His Terrestrial ecosystem course of study focuses on Northern Hemisphere and Phenology. His biological study spans a wide range of topics, including Hydrology, Chlorophyll and Deciduous.
Jing M. Chen mainly focuses on Remote sensing, Atmospheric sciences, Canopy, Leaf area index and Climate change. His Remote sensing research incorporates themes from Chlorophyll fluorescence and Chlorophyll content. His research in Atmospheric sciences intersects with topics in Photosynthesis, Photosynthetic capacity, Deciduous, Carbon cycle and Evapotranspiration.
The Deciduous study combines topics in areas such as Eddy covariance and Evergreen. His studies in Canopy integrate themes in fields like Primary production and Vegetation. The study incorporates disciplines such as Projected area, Bidirectional reflectance distribution function, Meteorology and Ecosystem model in addition to Leaf area index.
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Defining leaf area index for non‐flat leaves
J. M. Chen;T. A. Black.
Plant Cell and Environment (1992)
Leaf area index of boreal forests: theory, techniques, and measurements
Jing M. Chen;Paul M. Rich;Stith T. Gower;John M. Norman.
Journal of Geophysical Research (1997)
Retrieving Leaf Area Index of Boreal Conifer Forests Using Landsat TM Images
Jing M. Chen;Josef Cihlar.
Remote Sensing of Environment (1996)
Evaluation of Vegetation Indices and a Modified Simple Ratio for Boreal Applications
Jing M. Chen.
Canadian Journal of Remote Sensing (1996)
Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands
Jing M. Chen.
Agricultural and Forest Meteorology (1996)
Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications
J.M Chen;J Liu;J Cihlar;M.L Goulden.
Ecological Modelling (1999)
Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements
J.M Chen;G Pavlic;L Brown;J Cihlar.
Remote Sensing of Environment (2002)
A four-scale bidirectional reflectance model based on canopy architecture
J.M. Chen;S.G. Leblanc.
IEEE Transactions on Geoscience and Remote Sensing (1997)
Plant canopy gap-size analysis theory for improving optical measurements of leaf-area index.
Jing M. Chen;Josef Cihlar.
Applied Optics (1995)
Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis
Andrew D. Richardson;Ryan S. Anderson;M. Altaf Arain;Alan G. Barr.
Global Change Biology (2012)
Remote Sensing of Environment
(Impact Factor: 13.85)
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