Resultats globals: 8 registres trobats en 0.02 segons.
Articles, 8 registres trobats
Articles 8 registres trobats  
1.
18 p, 2.3 MB Validation of Sentinel-2, MODIS, CGLS, SAF, GLASS and C3S leaf area index products in maize crops / Yu, Huinan (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ; Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Liu, Guoxiang (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ; Ye, Yuanxin (Southwest Jiaotong University. Faculty of Geosciences and Environmental Engineering) ; Qu, Yonghua (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ; Xu, Baodong (Huazhong Agricultural University. Macro Agriculture Research Institute) ; Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals)
We proposed a direct approach to validate hectometric and kilometric resolution leaf area index (LAI) products that involved the scaling up of field-measured LAI via the validation and recalibration of the decametric Sentinel-2 LAI product. [...]
2021 - 10.3390/rs13224529
Remote sensing (Basel), Vol. 13, issue 22 (Nov. 2021) , art 4529  
2.
9 p, 4.0 MB Evaluation and normalization of topographic effects on vegetation indices / Chen, Rui (Southwest Jiaotong University) ; Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Liu, Guoxiang (Southwest Jiaotong University) ; Li, Jing (Chinese Academy of Sciences. Institute of Remote Sensing and Digital Earth) ; Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals)
The normalization of topographic effects on vegetation indices (VIs) is a prerequisite for their proper use in mountainous areas. We assessed the topographic effects on the normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), the soil adjusted vegetation index (SAVI), and the near-infrared reflectance of terrestrial vegetation (NIRv) calculated from Sentinel-2. [...]
2020 - 10.3390/rs12142290
Remote sensing (Basel), Vol. 12, Issue 14 (July 2020) , art. 2290  
3.
6 p, 1.5 MB A threshold method for robust and fast estimation of land-surface phenology using Google Earth Engine / Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Verger, Aleixandre (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)
Cloud-based platforms are changing the way of analyzing remotely sensed data by providing high computational power and rapid access to massive volumes of data. Several types of studies use cloud-based platforms for global-scale analyses, but the number of land-surface phenology (LSP) studies that use cloud-based platforms is low. [...]
2021 - 10.1109/JSTARS.2020.3039554
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 14 (2021) , p. 601-606  
4.
10 p, 1.2 MB A broadband green-red vegetation index for monitoring gross primary production phenology / Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Verger, Aleixandre (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Descals, Adrià (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Filella, Iolanda (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
The chlorophyll/carotenoid index (CCI) is increasingly used for remotely tracking the phenology of photosynthesis. However, CCI is restricted to few satellites incorporating the 531nm band. This study reveals that the Moderate Resolution Imaging Spectroradiometer (MODIS) broadband green reflectance (band 4) is significantly correlated with this xanthophyll-sensitive narrowband (band 11) (R2 = 0:98, p < 0:001), and consequently, the broadband green-red vegetation index GRVI-computed with MODIS band 1 and band 4-is significantly correlated with CCI-computed with MODIS band 1 and band 11 (R2 = 0:97, p < 0:001). [...]
2022 - 10.34133/2022/9764982
Journal of Remote Sensing, Vol. 2022 (March 2022) , art. 9764982  
5.
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, 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  
6.
14 p, 911.1 KB Divergent estimates of forest photosynthetic phenology using structural and physiological vegetation indices / Yin, Gaofei (Centre de Recerca Ecològica i d'Aplicacions Forestals) ; Verger, 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  
7.
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, 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 of Sciences. Institute of Mountain Hazards and Environment) ; Xu, Baodong (Huazhong Agricultural University. Macro Agriculture Research Institute) ; Zeng, Yelu (Carnegie Institution for Science (Washington, Estats Units d'Amèrica). 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  
8.
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, 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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