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Effects of background variations on vegetation indices for mangrove forest in Taklong Island, Guimaras Province

机译:吉马拉斯省高龙岛红树林植被指数对植物指数的影响

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This study investigated the effects of various background conditions typically found in mangrove communities on the relationships on various spectral vegetation indices and leaf area index. ASTER image was used to identify/classify mangrove areas within the study area. Mangrove canopy spectral reflectance and leaf area index (LAI) were measured in the field using a spectrometer and Photosynthetically Active Radiation (PAR) sensor. These data were then used to calculate Spectral Vegetation Indices such as NDVI, SAVI_2, and OSAVI. The relationships between several spectral vegetation indices measured from the field and derived from ASTER image and field LAI have been assessed particularly the effects of background variation typically found beneath mangrove canopies. As expected, soil influences are prevailing in partially vegetated canopies, they are more significant in LAI below 1.5. Based on the correlation coefficient, the vegetation indices which consider soil parameter normalized the soil-background effects such as SAVI2, OSAVI, with corresponding regression coefficient of 0.81, 0.74, respectively. Based on the result of 3D plot of SMA over various types of vegetation indices, SAVI_2 turned out to be sensitive to background or substrate variations in almost all types of substrates.
机译:本研究研究了通常在红树林中发现的各种背景条件的影响,以了解各种光谱植被指数和叶面积指数的关系。 ASTER图像用于识别研究区域内的红树林区域。使用光谱仪和光合作用辐射(PAR)传感器在现场测量红树林冠层谱反射率和叶面积指数(LAI)。然后使用这些数据来计算诸如NDVI,SAVI_2和Osavi等光谱植被指数。已经评估了从场和源自抗ASter图像和域LAI衍生的若干光谱植被索引之间的关系,特别是在红树林下面发现背景变化的影响。正如预期的那样,部分植被的檐篷中的土壤影响普遍存在1.5以下的莱左下。基于相关系数,考虑土壤参数的植被指数标准化土壤 - 背景效应,如萨维生,分别具有0.81,0.74的相应回归系数。根据各种类型的植被指数的3D曲线图,SAVI_2原来对几乎所有类型的基板中的背景或基板变化敏感。

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