2023 - Research.com Environmental Sciences in China Leader Award
2008 - Fellow of the American Association for the Advancement of Science (AAAS)
Jin Chen focuses on Remote sensing, Pixel, Thematic Mapper, Normalized Difference Vegetation Index and Vegetation. She mostly deals with Radiometry in her studies of Remote sensing. Her Pixel research integrates issues from Mixture model and Algorithm, Gaussian noise.
Her Thematic Mapper research includes themes of Cartography, Land cover, Land use, Support vector machine and Urbanization. Her work focuses on many connections between Normalized Difference Vegetation Index and other disciplines, such as Spatial ecology, that overlap with her field of interest in Vegetation cover, Vegetation fraction, Shadow, Vegetation Index and Climatology. Her Vegetation study incorporates themes from Hyperspectral imaging, Atmospheric sciences and Physical geography.
Jin Chen mainly investigates Remote sensing, Vegetation, Normalized Difference Vegetation Index, Pixel and Land cover. The Remote sensing study combines topics in areas such as Image resolution, Reflectivity and Moderate-resolution imaging spectroradiometer. Her studies in Vegetation integrate themes in fields like Snow, Atmospheric sciences and Phenology.
Her biological study spans a wide range of topics, including Mean squared error, Correlation coefficient and Time series. Her research in Pixel intersects with topics in Statistics and Pattern recognition. Her Land cover study incorporates themes from Change detection, Data mining and Scale.
Her primary areas of investigation include Remote sensing, Vegetation, Phenology, Normalized Difference Vegetation Index and Ground-penetrating radar. Her Remote sensing research incorporates elements of Pixel, Visible Infrared Imaging Radiometer Suite and Defense Meteorological Satellite Program. Her Vegetation study integrates concerns from other disciplines, such as Atmospheric sciences and Linear regression.
The study incorporates disciplines such as Winter wheat, Climate change, Snow, Physical geography and Spring in addition to Phenology. Her Normalized Difference Vegetation Index study also includes fields such as
Her scientific interests lie mostly in Remote sensing, Image resolution, Ground-penetrating radar, Temporal resolution and Vegetation. Her studies in Remote sensing integrate themes in fields like Intensity, Regression and Spatial variability. Her Image resolution research integrates issues from Remote sensing and Data mining.
Her Temporal resolution research is multidisciplinary, relying on both Normalized Difference Vegetation Index, Artificial intelligence and Pattern recognition. Her research in Normalized Difference Vegetation Index intersects with topics in Mean squared error, Spatial analysis and Spatial heterogeneity. Her studies deal with areas such as Land cover and Phenology as well as Vegetation.
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A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter
Jin Chen;Jin Chen;Per. Jönsson;Masayuki Tamura;Zhihui Gu.
Remote Sensing of Environment (2004)
Global land cover mapping at 30 m resolution: A POK-based operational approach
Jun Chen;Jin Chen;Anping Liao;Xin Cao.
Isprs Journal of Photogrammetry and Remote Sensing (2015)
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
Peng Gong;Jie Wang;Le Yu;Yongchao Zhao.
Journal of remote sensing (2013)
An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
Xiaolin Zhu;Jin Chen;Feng Gao;Xuehong Chen.
Remote Sensing of Environment (2010)
Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction
Zhangyan Jiang;Alfredo R. Huete;Jin Chen;Yunhao Chen.
Remote Sensing of Environment (2006)
Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-Density Cypress Forest
Bunkei Matsushita;Wei Yang;Jin Chen;Yuyichi Onda.
Quantifying the cool island intensity of urban parks using ASTER and IKONOS data
Xin Cao;Xin Cao;Akio Onishi;Jin Chen;Hidefumi Imura.
Landscape and Urban Planning (2010)
A simple and effective method for filling gaps in Landsat ETM+ SLC-off images
Jin Chen;Xiaolin Zhu;Xiaolin Zhu;James E. Vogelmann;Feng Gao.
Remote Sensing of Environment (2011)
A flexible spatiotemporal method for fusing satellite images with different resolutions
Xiaolin Zhu;Eileen H. Helmer;Feng Gao;Desheng Liu.
Remote Sensing of Environment (2016)
Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau
Miaogen Shen;Yanhong Tang;Jin Chen;Xiaolin Zhu.
Agricultural and Forest Meteorology (2011)
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