Wang Cong
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Email:
wangcong01@caas.cn
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Tel:
86-13581897697
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Add:
Quhua Building,12 Zhongguancun Nandajie Street, Haidian District,Beijing,China
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Temperature sensitivity of spring vegetation phenology correlates to within-spring warming speed over the Northern Hemisphere Temperature sensitivity of spring vegetation phenology correlates to within-spring warming speed over the Northern Hemisphere download
Ecological Indicator
2015|Journal Article
DOI: 10.1016/j.ecolind.2014.11.004
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Plant phenological synchrony increases under rapid within-spring warming Plant phenological synchrony increases under rapid within-spring warming download
Scientific Reports
2016|Journal Article
DOI: 10.1038/srep25460
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A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems download
Remote Sensing of Environment
2017|Journal Article
DOI: 10.1016/j.rse.2017.04.031
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A novel method for removing snow melting-induced fluctuation in GIMMS NDVI3g data for vegetation phenology monitoring A novel method for removing snow melting-induced fluctuation in GIMMS NDVI3g data for vegetation phenology monitoring download
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2018|Journal Article
DOI: 10.1109/JSTARS.2017.2778076
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Misestimation of growing season length due to inaccurate construction of satellite vegetation index time series Misestimation of growing season length due to inaccurate construction of satellite vegetation index time series download
IEEE Geoscience and Remote Sensing Letters
2019|Journal Article
DOI: 10.1109/LGRS.2019.2895805
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Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. download
Remote Sensing of Environment
2020|Journal Article
DOI: 10.1016/j.rse.2020.111728