2013 - IEEE Fellow For contributions to remote sensing from satellite observations
Shunlin Liang mainly investigates Remote sensing, Meteorology, Moderate-resolution imaging spectroradiometer, Leaf area index and Albedo. The various areas that Shunlin Liang examines in his Remote sensing study include Mean squared error, Bidirectional reflectance distribution function and Radiative transfer. His work carried out in the field of Meteorology brings together such families of science as Atmospheric correction, Emissivity, Algorithm and Multispectral image.
Shunlin Liang has researched Moderate-resolution imaging spectroradiometer in several fields, including Eddy covariance, Growing season, Temporal resolution, Latent heat and Evapotranspiration. His Leaf area index study combines topics from a wide range of disciplines, such as Kalman filter, Crop yield, Vegetation and Biome. His Albedo research incorporates themes from Snow, Climate change, Spectroradiometer and Shortwave.
Remote sensing, Meteorology, Moderate-resolution imaging spectroradiometer, Albedo and Leaf area index are his primary areas of study. His Remote sensing study integrates concerns from other disciplines, such as Mean squared error, Atmospheric radiative transfer codes, Radiative transfer and Bidirectional reflectance distribution function. The Meteorology study combines topics in areas such as Image resolution, Algorithm, Surface and Shortwave radiation.
His Moderate-resolution imaging spectroradiometer research is multidisciplinary, relying on both Eddy covariance, Spectroradiometer, Emissivity, Land cover and Data assimilation. His research in Albedo intersects with topics in Snow, Atmospheric correction, Climatology and Shortwave. His work in Leaf area index addresses issues such as Vegetation, which are connected to fields such as Evapotranspiration and Biome.
Shunlin Liang spends much of his time researching Remote sensing, Surface, Albedo, Moderate-resolution imaging spectroradiometer and Climatology. His study in Remote sensing is interdisciplinary in nature, drawing from both Mean squared error, Emissivity, Land cover and Shortwave radiation. Shunlin Liang interconnects Atmospheric sciences, Radiative transfer, Net radiation, Radiation and Product in the investigation of issues within Surface.
His research integrates issues of Atmosphere, Meteorology, Sea ice, Multispectral image and Bidirectional reflectance distribution function in his study of Albedo. His studies deal with areas such as Image resolution, Temporal resolution, Multivariate adaptive regression splines, Atmospheric model and Daytime as well as Moderate-resolution imaging spectroradiometer. His research investigates the connection between Climatology and topics such as Global change that intersect with problems in Vegetation.
His scientific interests lie mostly in Remote sensing, Vegetation, Albedo, Land cover and Surface. His research integrates issues of Solar irradiance, Climate change, Shortwave radiation and Moderate-resolution imaging spectroradiometer in his study of Remote sensing. His work deals with themes such as Bidirectional reflectance distribution function, Daytime, Meteorology and Bayesian probability, which intersect with Moderate-resolution imaging spectroradiometer.
His Vegetation research incorporates themes from Climatology, Northern Hemisphere, Agriculture, Physical geography and Global change. His study looks at the intersection of Albedo and topics like Atmosphere with Cross-validation. In his research, Radiometer and Precipitation is intimately related to Snow, which falls under the overarching field of Land cover.
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First operational BRDF, albedo nadir reflectance products from MODIS
Crystal B Schaaf;Feng Gao;Alan H Strahler;Wolfgang Lucht.
Remote Sensing of Environment (2002)
Quantitative Remote Sensing of Land Surfaces
Narrowband to broadband conversions of land surface albedo I Algorithms
Remote Sensing of Environment (2001)
Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods
S. Liang;H. Fang;M. Chen.
IEEE Transactions on Geoscience and Remote Sensing (2001)
Validating MODIS land surface reflectance and albedo products: methods and preliminary results
Shunlin Liang;Hongliang Fang;Mingzhen Chen;Chad J Shuey.
Remote Sensing of Environment (2002)
Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance
Zhiqiang Xiao;Shunlin Liang;Jindi Wang;Ping Chen.
IEEE Transactions on Geoscience and Remote Sensing (2014)
Clear sky visibility has decreased over land globally from 1973 to 2007.
Kaicun Wang;Robert E. Dickinson;Shunlin Liang.
Time‐lag effects of global vegetation responses to climate change
Donghai Wu;Xiang Zhao;Shunlin Liang;Shunlin Liang;Tao Zhou;Tao Zhou.
Global Change Biology (2015)
Earth system science related imaging spectroscopy — an assessment
Michael E. Schaepman;Michael E. Schaepman;Susan L. Ustin;Antonio J. Plaza;Thomas H. Painter.
Remote Sensing of Environment (2009)
A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies
Shunlin Liang;Xiang Zhao;Suhong Liu;Wenping Yuan.
International Journal of Digital Earth (2013)
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