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基于LESS模型的异质植被冠层光合有效辐射吸收比与植被指数的关系研究

Relationship between FPARgreen and Several Vegetation Indices in Heterogeneous Vegetation based on LESS Model
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摘要 研究植被指数与光合有效辐射吸收比FPAR的定量关系对于提高FPAR反演精度与指导生产实践具有一定的参考价值。研究在三维辐射传输模型LESS基础上发展了一个兼具一维模型简洁和三维模型精度优势的LESS1D模块(已随LESS模型正式发布,www.lessrt.org);探究随机均匀场景和三维异质场景中植被冠形、盖度等7种因素对6种植被指数与FPAR_(green)关系的影响。结果表明:①在均质性场景中,NDVI、SAVI、EVI对FPAR_(green)拟合相对最优,而在异质性场景中,则为NDVI和RVI。②在异质性场景中,不同冠形下FPAR_(green)与植被指数的拟合精度为圆柱形>椭球形>圆锥形;植被盖度较低时,植被指数对FPAR_(green)拟合精度较差;随着太阳天顶角增大,RVI与FPAR_(green)由线性关系变为指数关系。结论:树冠体积和树冠几何结构是不同冠形影响FPAR_(green)大小的关键因素,而叶片聚集度、植被盖度和植被指数类型则是影响植被指数饱和效应的相关因素。 The quantitative relationship between FPAR(Fraction of Absorbed Photosynthetically Active Radiation)and vegetation indices has certain reference value for improving FPAR inversion accuracy and guiding production practice.Based on the three-dimensional radiative transfer model LESS,a module named LESS1D(formally released with LESS though www.lessrt.org)with advantages of simplicity of 1D model and accuracy of 3D model is proposed.Based on this model,the influences of vegetation canopy,coverage and other factors on the relationship between FPAR_(green) and 6 vegetation indices were explored in random homogeneous scenes and 3D heterogeneous scenes.The results showed that in homogeneous scenarios,NDVI,SAVI and EVI fit FPAR_(green) best in homogeneous scenarios,while NDVI and RVI fit FPARgreen best in heterogeneous scenarios.In heterogeneous scenes,the fitting accuracy of FPAR_(green) and vegetation index under different crown shapes is cylindrical>ellipsoidal>conical;When the vegetation coverage is low,the fitting accuracy of vegetation indices to FPARgreen is poor;As the solar zenith angle increases,the relationship between RVI and FPAR_(green) changes from linear to exponential.Canopy volume and canopy geometry are the key factors affecting the size of FPAR_(green) with different crown shapes,while leaf aggregation,vegetation coverage and vegetation index type are the relevant factors affecting the saturation effect of vegetation index.
作者 叶雨洋 漆建波 曹颖 蒋靖怡 YE Yuyang;QI Jianbo;CAO Ying;JIANG Jingyi(State Key Joint Laboratory of Environment Simulation and Pollution Control,School of Environment,Beijing Normal University,Beijing 100875,China;The Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing 100083,China)
出处 《遥感技术与应用》 CSCD 北大核心 2023年第1期51-65,共15页 Remote Sensing Technology and Application
基金 国家自然科学基金青年科学基金项目(42001279) 国家自然科学基金重点项目(42130111)。
关键词 三维辐射传输 LESS FPAR_(green) 植被指数 异质场景 3D radiative transfer LESS FPAR_(green) Vegetation index Heterogenous canopy
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