Mapping wild pear trees (Pyrus bourgaeana) in Mediterranean forest using high-resolution QuickBird satellite imagery
Mapping wild pear trees (Pyrus bourgaeana) in Mediterranean forest using high-resolution QuickBird satellite imagery
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DOI：
10.1080/01431161.2012.716909
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发表时间：
2013-05
影响因子：
3.4
通讯作者：
Salvador Arenas‐Castro;Y. Julien;J. Jiménez-Muñoz;José A. Sobrino;J. Fernández-Haeger;Diego Jordano-Barbudo
中科院分区：
文献类型：
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作者：
Salvador Arenas‐Castro;Y. Julien;J. Jiménez-Muñoz;José A. Sobrino;J. Fernández-Haeger;Diego Jordano-Barbudo
卫星图像的空间和光谱分辨率以及处理技术的最新进展为精细尺度植被分析开辟了新的可能性，并在自然资源管理中有有趣的应用。本文介绍了在西班牙南部科尔多瓦的Sierra Morena进行的一项研究的主要结果，该研究旨在评估遥感技术在以栓皮栎为主的地中海开阔林地中区分和绘制野生梨树（Pyrus bourgaeana）个体的潜力。我们使用了2008年夏季获得的高空间分辨率（2.4米多光谱/0.6米全色）QuickBird卫星图像。考虑到野生梨树冠的大小和特征，我们应用了大气校正方法、光谱超立方快速视线大气分析（flash）和六种不同的融合“泛锐化”方法（小波加权变换、颜色归一化（CN）、Gram-Schmidt （GS）、色调-饱和度-强度（HSI）颜色变换、多方向-多分辨率（MDMR）和主成分（PC）），以确定哪种方法能提供最好的结果。最后，我们评估了监督分类技术（最大似然）在地中海开阔林地中区分和绘制野生梨树个体的潜力。
Recent advances in spatial and spectral resolution of satellite imagery as well as in processing techniques are opening new possibilities of fine-scale vegetation analysis with interesting applications in natural resource management. Here we present the main results of a study carried out in Sierra Morena, Cordoba (southern Spain), aimed at assessing the potential of remote-sensing techniques to discriminate and map individual wild pear trees (Pyrus bourgaeana) in Mediterranean open woodland dominated by Quercus ilex. We used high spatial resolution (2.4 m multispectral/0.6 m panchromatic) QuickBird satellite imagery obtained during the summer of 2008. Given the size and features of wild pear tree crowns, we applied an atmospheric correction method, Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercube (FLAASH), and six different fusion ‘pan-sharpening’ methods (wavelet ‘à trous’ weighted transform, colour normalized (CN), Gram–Schmidt (GS), hue–saturation–intensity (HSI) colour transformation, multidirection–multiresolution (MDMR), and principal component (PC)), to determine which procedure provides the best results. Finally, we assessed the potential of supervised classification techniques (maximum likelihood) to discriminate and map individual wild pear trees scattered over the Mediterranean open woodland.