The vegetation canopy clumping index(CI)is an important indicator for understanding radiative transport processes,radiation interception,and the photosynthesis of vegetation canopies.However,most studies consider CI o...The vegetation canopy clumping index(CI)is an important indicator for understanding radiative transport processes,radiation interception,and the photosynthesis of vegetation canopies.However,most studies consider CI only in the nadir or specific direction.In this study,we analyze the directional characteristics of the CI based on RAMI-V(radiation transfer model intercomparison)activity,which represents most typical canopies.The directional gap fraction and CI of these scenes are accurately calculated based on the LESS(large-scale remote sensing data and image simulation framework)model.According to our results,the directional characteristics of the CI are affected by many factors,such as vegetation type,season,and canopy structure.Generally,the CI of a coniferous forest varies little with zenith angle,while the CI of a broad-leaf forest demonstrates the different trend.In winter,the CI is smaller than that in summer,and the variation in the CI at the zenith angle is less.The row structure scenes exhibit different directional characteristics along and perpendicular to the row direction,and their CIs tend to increase with zenith angle.To accurately model the directional CI,we propose a modified Gompertz function model.Compared with other directional CI models,this model has the advantages of high precision and strong applicability(R^(2)=0.975).By studying the directional characteristics of CI,we can enhance the usability of radiative transfer modeling and the accuracy of canopy biophysical parameter retrieval for vegetation with different structures.展开更多
基金National Natural Science Foundation of China(grant nos.42071304 and 42090013)the National Key Research and Development Program of China(grant nos.2020YFA0608701 and 2022YFB3903304).
文摘The vegetation canopy clumping index(CI)is an important indicator for understanding radiative transport processes,radiation interception,and the photosynthesis of vegetation canopies.However,most studies consider CI only in the nadir or specific direction.In this study,we analyze the directional characteristics of the CI based on RAMI-V(radiation transfer model intercomparison)activity,which represents most typical canopies.The directional gap fraction and CI of these scenes are accurately calculated based on the LESS(large-scale remote sensing data and image simulation framework)model.According to our results,the directional characteristics of the CI are affected by many factors,such as vegetation type,season,and canopy structure.Generally,the CI of a coniferous forest varies little with zenith angle,while the CI of a broad-leaf forest demonstrates the different trend.In winter,the CI is smaller than that in summer,and the variation in the CI at the zenith angle is less.The row structure scenes exhibit different directional characteristics along and perpendicular to the row direction,and their CIs tend to increase with zenith angle.To accurately model the directional CI,we propose a modified Gompertz function model.Compared with other directional CI models,this model has the advantages of high precision and strong applicability(R^(2)=0.975).By studying the directional characteristics of CI,we can enhance the usability of radiative transfer modeling and the accuracy of canopy biophysical parameter retrieval for vegetation with different structures.
