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Effects of woody elements on simulated canopy reflectance: Implications for forest chlorophyll content retrieval

机译:木本元素对模拟冠层反射率的影响:对森林叶绿素含量检索的意义

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An important bio-indicator of actual plant health status, the foliar content of chlorophyll a and b (Cab), can be estimated using imaging spectroscopy. For forest canopies, however, the relationship between the spectral response and leaf chemistry is confounded by factors such as background (e.g. understory), canopy structure, and the presence of non-photosynthetic vegetation (NPV, e.g. woody elements)-particularly the appreciable amounts of standing and fallen dead wood found in older forests. We present a sensitivity analysis for the estimation of chlorophyll content in woody coniferous canopies using radiative transfer modeling, and use the modeled top-of-canopy reflectance data to analyze the contribution of woody elements, leaf area index (LAI), and crown cover (CC) to the retrieval of foliar Cab content. The radiative transfer model used comprises two linked submodels: one at leaf level (PROSPECT) and one at canopy level (FLIGHT). This generated bidirectional reflectance data according to the band settings of the Compact High Resolution Imaging Spectrometer (CHRIS) from which chlorophyll indices were calculated. Most of the chlorophyll indices outperformed single wavelengths in predicting Cab content at canopy level, with best results obtained by the Maccioni index ([R-780 - R-710]/[R-780 - R-680]). We demonstrate the performance of this index with respect to structural information on three distinct coniferous forest types (young, early mature and old-growth stands). The modeling results suggest that the spectral variation due to variation in canopy chlorophyll content is best captured for stands with medium dense canopies. However, the strength of the up-scaled Cab signal weakens with increasing crown NPV scattering elements, especially when crown cover exceeds 30%. LAI exerts the least perturbations. We conclude that the spectral influence of woody elements is an important variable that should be considered in radiative transfer approaches when retrieving foliar pigment estimates in heterogeneous stands, particularly if the stands are partly defoliated or long-lived.
机译:叶绿素a和b(Cab)的叶面含量可以通过成像光谱法估算出,它是实际植物健康状况的重要生物指标。然而,对于森林冠层,光谱响应与叶片化学之间的关系受诸如背景(例如林下),冠层结构和非光合植被(NPV,例如木质元素)的存在等因素所困扰,尤其是数量可观较旧的森林中发现的站立和倒下的死木的数量。我们提供了一种使用辐射转移模型估算木质针叶树冠层中叶绿素含量的敏感性分析,并使用建模的冠层顶反射率数据来分析木质元素,叶面积指数(LAI)和树冠覆盖率的贡献( CC)来检索叶面Cab内容。所使用的辐射传递模型包括两个链接的子模型:一个在叶级别(PROSPECT)和一个在冠层级别(FLIGHT)。这根据紧凑型高分辨率成像光谱仪(CHRIS)的波段设置生成了双向反射率数据,并由此计算了叶绿素指数。在预测冠层水平的Cab含量时,大多数叶绿素指数均优于单个波长,通过Maccioni指数可获得最佳结果([R-780-R-710] / [R-780-R-680])。我们针对三种不同的针叶林类型(幼林,早熟林和老林林)展示了该指数相对于结构信息的性能。建模结果表明,对于中密度冠层的林分,由于冠层叶绿素含量变化而引起的光谱变化最好。但是,随着车顶NPV散射元素的增加,放大后的Cab信号的强度会减弱,尤其是当车顶覆盖率超过30%时。 LAI的干扰最小。我们得出的结论是,在异种林中检索叶色素估计值时,特别是如果林分部分脱落或寿命较长时,木质元素的光谱影响是一个重要的变量,应在辐射转移方法中予以考虑。

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