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首页> 外文期刊>Australian Journal of Botany >Estimation of eucalypt forest Leaf Area Index on the south coast of New South Wales using Landsat MSS data.
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Estimation of eucalypt forest Leaf Area Index on the south coast of New South Wales using Landsat MSS data.

机译：利用Landsat MSS数据估算新南威尔士州南海岸的桉树林叶面积指数。

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Research over the last decade has shown that regional estimation of Leaf Area Index (LAI) is possible using the ratio of red:near infrared radiation derived from satellite or airborne sensors. At landscape levels, however, this relationship has beenmore difficult to establish due to logistic difficulties in measuring seasonal variation in LAI across the landscape over an extended period of time and to difficulties in establishing the effect of understorey, canopy closure, and soil on the spectralradiation at fine spatial resolutions (< 100 m). This paper examines the first issue by utilizing a temporal sequence of LAI data of a Eucalyptus mixed hardwood forest (E. maculata, E. paniculata, E. globoidea, E. pilularis and E. sieberi) in south-eastern New South Wales and comparing it to historical Landsat Multi-Spectral Scanner (MSS) data covering a 9-year period. Field LAI was compared with the Normalized Difference Vegetation Index (NDVI) and the Simple Ratio (SR) derived from the MSS data. Linear relationships were shown to be appropriate to relate both transformations to the LAI data with r2-values of 0.71 and 0.53 respectively. Using the NDVI relationship, LAI values were estimated along a transect originating from the monitoring site and these were compared with percentage canopy cover values derived from aerial photography.
机译：过去十年的研究表明，使用从卫星或机载传感器获得的红色：近红外辐射之比，可以对叶面积指数（LAI）进行区域估计。然而，在景观水平上，由于很难在较长时间内测量整个景观中LAI的季节性变化的逻辑上的困难，以及难以确定下层，冠层封闭和土壤对光谱辐射的影响，因此这种关系更加难以建立以良好的空间分辨率（<100 m）。本文通过利用新南威尔士州东南部的桉树混合硬木森林（E. maculata，E。paniculata，E。globoidea，E。pilularis和E. sieberi）的LAI数据的时间序列，研究了第一个问题将其转换为Landsat多光谱扫描仪（MSS）历时9年的历史数据。将现场LAI与从MSS数据得出的归一化植被指数（NDVI）和简单比率（SR）进行了比较。线性关系被证明适合将两个变换与LAI数据相关，r2-值分别为0.71和0.53。利用NDVI关系，沿着源自监测点的样条线估计LAI值，并将其与源自航空摄影的冠层覆盖率百分比进行比较。

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