环境科学                        
                
                                
                        
                            大气辐射传输码                        
                
                                
                        
                            遥感                        
                
                                
                        
                            叶面积指数                        
                
                                
                        
                            常绿                        
                
                                
                        
                            天蓬                        
                
                                
                        
                            植被(病理学)                        
                
                                
                        
                            每年落叶的                        
                
                                
                        
                            辐射传输                        
                
                                
                        
                            大气科学                        
                
                                
                        
                            均方误差                        
                
                                
                        
                            叶绿素                        
                
                                
                        
                            数学                        
                
                                
                        
                            植物                        
                
                                
                        
                            地理                        
                
                                
                        
                            地质学                        
                
                                
                        
                            生物                        
                
                                
                        
                            物理                        
                
                                
                        
                            医学                        
                
                                
                        
                            统计                        
                
                                
                        
                            病理                        
                
                                
                        
                            量子力学                        
                
                        
                    
            作者
            
                Holly Croft,J.M. Chen,R. Wang,Gang Mo,Shuai Luo,Xiangzhong Luo,Li He,Alemu Gonsamo,Jane M. Arabian,Y. Zhang,A. Simic-Milas,Thomas L. Noland,Yang He,Lucie Homolová,Zbyněk Malenovský,Yi Qian,Jason Beringer,Reza Amiri,Lindsay B. Hutley,Paul Arellano,Clément Stahl,Damien Bonal            
         
                    
        
    
            
            标识
            
                                    DOI:10.1016/j.rse.2019.111479
                                    
                                
                                 
         
        
                
            摘要
            
            Leaf chlorophyll is central to the exchange of carbon, water and energy between the biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper presents the first spatially-continuous view of terrestrial leaf chlorophyll content (ChlLeaf) at the global scale. Weekly maps of ChlLeaf were produced from ENVISAT MERIS full resolution (300 m) satellite data using a two-stage physically-based radiative transfer modelling approach. Firstly, leaf-level reflectance was derived from top-of-canopy satellite reflectance observations using 4-Scale and SAIL canopy radiative transfer models for woody and non-woody vegetation, respectively. Secondly, the modelled leaf-level reflectance was input into the PROSPECT leaf-level radiative transfer model to derive ChlLeaf. The ChlLeaf retrieval algorithm was validated using measured ChlLeaf data from 248 sample measurements at 28 field locations, and covering six plant functional types (PFTs). Modelled results show strong relationships with field measurements, particularly for deciduous broadleaf forests (R2 = 0.67; RMSE = 9.25 μg cm-2; p < 0.001), croplands (R2 = 0.41; RMSE = 13.18 μg cm-2; p < 0.001) and evergreen needleleaf forests (R2 = 0.47; RMSE = 10.63 μg cm-2; p < 0.001). When the modelled results from all PFTs were considered together, the overall relationship with measured ChlLeaf remained good (R2 = 0.47, RMSE = 10.79 μg cm-2; p < 0.001). This result is an improvement on the relationship between measured ChlLeaf and a commonly used chlorophyll-sensitive spectral vegetation index; the MERIS Terrestrial Chlorophyll Index (MTCI; R2 = 0.27, p < 0.001). The global maps show large temporal and spatial variability in ChlLeaf, with evergreen broadleaf forests presenting the highest leaf chlorophyll values, with global annual median values of 54.4 μg cm-2. Distinct seasonal ChlLeaf phenologies are also visible, particularly in deciduous plant forms, associated with budburst and crop growth, and leaf senescence. It is anticipated that this global ChlLeaf product will make an important step towards the explicit consideration of leaf-level biochemistry in terrestrial water, energy and carbon cycle modelling.
         
            
 
                 
                
                    
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