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Sub-pixel habitat mapping in coastal dune ecosystems

机译:沿海沙丘生态系统中的亚像素栖息地制图

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摘要

Bare sand and semi-fixed dunes are ideal for the creation of successionally young slack habitats that support rare species of coastal dune flora such as fen orchid (Liparis loeselii) and liverworts (e.g., Petallophyllum ralfsii). In ecologically significant and large dune systems, such as the Kenfig National Nature Reserve, identification and mapping of favourable (sandy), and unfavourable (scrub rich) habitats form the key to conservation management. To map this habitat, spectral unmixing of airborne imaging spectrometer (CASI) imagery was performed using a linear mixture model and fuzzy membership functions, and the subpixel proportions of the spectral end members viz. sand, vegetation and shade/moisture were defined. The results were compared with 'actual' cover fractions obtained from classification of high spatial resolution, digital aerial photographic data. For both approaches correlation coefficients (most r= > 0.8) between the actual and predicted proportions were obtained, however, the success of the fuzzy membership functions were sensitive to the selection of the weight matrix.
机译:裸露的沙丘和半固定的沙丘非常适合创建连续的年轻松弛的生境,以支持沿海沙丘植物群的稀有物种,例如芬兰(Liparis loeselii)和艾蒿(例如Petallophyllum ralfsii)。在具有重要生态意义的大型沙丘系统(例如肯菲国家自然保护区)中,有利(沙质)和不利(灌木丛生)栖息地的识别和制图是保护管理的关键。为了绘制该栖息地的图,使用线性混合模型和模糊隶属函数对机载成像光谱仪(CASI)图像进行光谱分解,光谱末端成员的子像素比例也就是。确定了沙子,植被和阴影/湿度。将结果与从高空间分辨率,数字航空摄影数据分类获得的“实际”覆盖率进行了比较。对于这两种方法,都获得了实际比例和预测比例之间的相关系数(最大r => 0.8),但是,模糊隶属函数的成功对权重矩阵的选择很敏感。

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