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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 - DOI (Digital Object Identifier)

10.3390/rs11030244
Remote sensing (Basel), Vol. 11, Issue 3 (February 2019) , art. 244

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