Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape.
Relationship Between Remotely-sensed Vegetation Indices, Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape.
复制标题
DOI：
10.3390/s8042136
复制
发表时间：
2008-03-28
期刊：
影响因子：
--
通讯作者：
Nelson SG
中科院分区：
文献类型：
--
作者：
Glenn EP;Huete AR;Nagler PL;Nelson SG
植被指数（VI）是遥感研究中最古老的工具之一。尽管存在许多变化，但大多数都通过对光谱的红色和近红外部分的光反射进行比例来将景观分为水、土壤和植被。理论分析和实地研究表明，VI 与植物冠层吸收的光合有效辐射呈近线性关系，因此与发生在冠层上部的依赖于光的生理过程（例如光合作用）呈近线性关系。实际研究已使用时间序列 VI 来测量初级生产和蒸散量，但其准确性仅限于地面实况或校准所用模型中使用的数据。 VI 还用于估计土壤-植被-大气转移 (SVAT)、地表能量平衡 (SEB) 和全球气候模型 (GCM) 中使用的各种其他冠层属性。这些属性包括植被覆盖率、叶面积指数、湍流传输的粗糙度长度、发射率和反照率。然而，VI 通常仅表现出与这些冠层属性的中等非线性关系，从而损害了模型的准确性。我们使用案例研究来说明 VI 的使用和误用，并主张使用 VI 最简单地作为冠层光吸收的测量，而不是作为冠层结构的详细特征的替代。通过这种方式使用，VI 与“大叶子”SVAT 和 GCM 兼容，假设冠层碳和水分通量与任何单片叶子对环境具有相同的相对响应，从而简化了复杂景观建模的任务。
Vegetation indices (VIs) are among the oldest tools in remote sensing studies. Although many variations exist, most of them ratio the reflection of light in the red and NIR sections of the spectrum to separate the landscape into water, soil, and vegetation. Theoretical analyses and field studies have shown that VIs are near-linearly related to photosynthetically active radiation absorbed by a plant canopy, and therefore to light-dependent physiological processes, such as photosynthesis, occurring in the upper canopy. Practical studies have used time-series VIs to measure primary production and evapotranspiration, but these are limited in accuracy to that of the data used in ground truthing or calibrating the models used. VIs are also used to estimate a wide variety of other canopy attributes that are used in Soil-Vegetation-Atmosphere Transfer (SVAT), Surface Energy Balance (SEB), and Global Climate Models (GCM). These attributes include fractional vegetation cover, leaf area index, roughness lengths for turbulent transfer, emissivity and albedo. However, VIs often exhibit only moderate, non-linear relationships to these canopy attributes, compromising the accuracy of the models. We use case studies to illustrate the use and misuse of VIs, and argue for using VIs most simply as a measurement of canopy light absorption rather than as a surrogate for detailed features of canopy architecture. Used this way, VIs are compatible with “Big Leaf” SVAT and GCMs that assume that canopy carbon and moisture fluxes have the same relative response to the environment as any single leaf, simplifying the task of modeling complex landscapes.
登录
查看更多内容
DOI：
10.2307/4004043
发表时间：
2003-07-01
期刊：
JOURNAL OF RANGE MANAGEMENT
影响因子：
--
作者：
Frank, AB;Karn, JF
通讯作者：
Karn, JF
影响因子：
6.4
作者：
Bastiaanssen, WGM;Pelgrum, H;van der Wal, T
通讯作者：
van der Wal, T
影响因子：
13.5
作者：
Jiang, ZY;Huete, AR;Zhang, XY
通讯作者：
Zhang, XY
影响因子：
6.4
作者：
Groeneveld, David P.;Baugh, William M.;Cooper, David J.
通讯作者：
Cooper, David J.
影响因子：
13.5
作者：
Anderson, MC;Norman, JM;Mecikalski, JR
通讯作者：
Mecikalski, JR