Resultats globals: 4 registres trobats en 0.02 segons.
Articles, 4 registres trobats
Articles 4 registres trobats  
1.
13 p, 8.2 MB Improved estimates of arctic land surface phenology using Sentinel-2 time series / Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Verger Ten, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals)
The high spatial resolution and revisit time of Sentinel-2A/B tandem satellites allow a potentially improved retrieval of land surface phenology (LSP). The biome and regional characteristics, however, greatly constrain the design of the LSP algorithms. [...]
2020 - 10.3390/rs12223738
Remote sensing (Basel), Vol. 12, Issue 22 (November 2020) , art. 3738  
2.
14 p, 911.1 KB Divergent estimates of forest photosynthetic phenology using structural and physiological vegetation indices / Yin, Gaofei (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ; Verger Ten, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Filella, Iolanda (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
The accurate estimation of photosynthetic phenology using vegetation indices (VIs) is important for measuring the interannual variation of atmospheric CO2 concentrations, but the relative performances of structural and physiological VIs remain unclear. [...]
2020 - 10.1029/2020GL089167
Geophysical Research Letters, Vol. 47, issue 18 (Sep. 2020) , e2020GL0891672020  
3.
18 p, 4.5 MB Retrieval of high spatiotemporal resolution leaf area index with Gaussian processes, wireless sensor network, and satellite data fusion / Yin, Gaofei (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ; Verger Ten, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Qu, Yonghua (Beijing Normal University. Institute of Remote Sensing Science and Engineering) ; Zhao, Wei (Chinese Academy Sciences. Institute of Mountain Hazards and Environment) ; Xu, Baodong (Huazhong Agricultural University. Macro Agriculture Research Institute) ; Zeng, Yelu (Carnegie Institution for Science. Department of Global Ecology) ; Liu, Ke (Sichuan Academy of Agricultural Science. Institute of Remote Sensing Application) ; Li, Jing (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ; Liu, Qinhuo (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth)
Many applications, including crop growth and yield monitoring, require accurate long-term time series of leaf area index (LAI) at high spatiotemporal resolution with a quantification of the associated uncertainties. [...]
2019 - 10.3390/rs11030244
Remote sensing (Basel), Vol. 11, Issue 3 (February 2019) , art. 244  
4.
14 p, 1.3 MB Spatiotemporally representative and cost-efficient sampling design for validation activities in wanglang experimental site / Yin, Gaofei (Chinese Academy of Sciences) ; Li, Ainong (Chinese Academy of Sciences) ; Verger Ten, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Spatiotemporally representative Elementary Sampling Units (ESUs) are required for capturing the temporal variations in surface spatial heterogeneity through field measurements. Since inaccessibility often coexists with heterogeneity, a cost-efficient sampling design is mandatory. [...]
2017 - 10.3390/rs9121217
Remote sensing (Basel), Vol. 9, Issue 12 (December 2017) , art. 1217  

Vegeu també: autors amb noms similars
1 Yin, Guodong
2 Yin, Guohua
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