Remote sensing of forest diversities: the effect of image resolution and spectral plot extent
Remote sensing of forest diversities: the effect of image resolution and spectral plot extent
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森林多样性遥感：图像分辨率和光谱图范围的影响
DOI：
10.1080/01431161.2021.1934596
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发表时间：
2021
影响因子：
3.4
通讯作者：
Shiro Tsuyuzaki
中科院分区：
文献类型：
--
作者：
Lea Vegh;Shiro Tsuyuzaki
利用遥感技术探测农田多样性对大尺度植被动态监测具有重要意义。遥感图像的特征取决于研究生物和栖息地，影响测量α和β多样性的效率。因此，我们研究了图像分辨率和光谱图范围对估计日本北部活火山苏活火山森林α多样性和成分方差的准确性的影响。使用低分辨率(3.2米)和高分辨率(0.8米)的IKONOS多光谱图像，从覆盖实地地块的像素(窄范围)和包括邻近区域的像素(宽范围)创建光谱指示器。得到6个森林多样性指数：物种丰富度(S)、香农(H‘)、均匀度(J’)、基尼-辛普森(D)、1级真多样性(N1=1 expH‘)和2级真多样性(N 2=1/D)。物种组成的变化通过相异矩阵进行评估。结合图像分辨率和光谱标绘范围计算光谱多样性指标，并与田间多样性进行比较。基于低分辨率-窄幅的光谱指标与冠层和总多样性的相关性最高。最佳光谱指标由主成分分析第一轴的得分和近红外波段得到，与冠层指数和总场多样性指数均达到高度相关。在6个场差异中，J‘与单个光谱指标的相关性最高，N1、2与光谱指标对的相关性最高。光谱与野外差异的相关性低于α多样性与光谱指标的相关性，且不受分辨率和幅度的影响。综上所述，低分辨率-窄幅组合得到了最佳的光谱指标，该指标对温带森林的郁闭度指数和总场多样性指数的估计值相当。
Detecting field diversities via remote sensing is becoming important to monitor vegetation dynamics at large scale. The characteristics of the remotely sensed image, depending on the study organism and habitat, affect the efficiency of measuringα-andβ-diversities. Therefore, we examined the impact of image resolutions and spectral plot extents on the accuracy of estimating forestα-diversities and compositional variances on the active volcano Mount Usu, northern Japan. Low- (3.2 m) and high-resolution (0.8 m) IKONOS multispectral images were used to create spectral indicators from pixels covering the field plots (narrow extent) and from pixels including neighbouring area (wide extent). Six forest diversity indices were obtained for canopy and for canopy-herb layer (total diversity): species richness (S), Shannon (H’), evenness (J’), Gini-Simpson (D), and true diversity of order 1 (N1= expH’) and order 2 (N2=1/D). Changes in species composition were assessed by dissimilarity matrices. The spectral diversity indicators were calculated from the combination of image resolutions and spectral plot extents, and then compared with field diversities. The low-resolution–narrow extent based spectral indicators showed the highest correlations with canopy and total diversities. The best spectral indicators were derived from the scores of the first axis of principal component analysis and from the near infrared band, reaching high correlations with both canopy and total field diversity indices. Of the six field diversities,J’ showed the highest correlations with single spectral indicators, andN1, 2showed the highest correlations with pairs of spectral indicators. The correlations between spectral and field dissimilarities were lower than the correlations betweenα-diversities and spectral indicators, and were unaffected by the resolution and extent. In conclusion, the best spectral indicators were obtained from the low-resolution–narrow extent combination, and the indicators estimated canopy and total field diversity indices of temperate forests equally.
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