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首页> 外文期刊>International journal of remote sensing >Mapping forest patches and scattered trees from SPOT images and testing their ecological importance for woodland birds in a fragmented agricultural landscape
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Mapping forest patches and scattered trees from SPOT images and testing their ecological importance for woodland birds in a fragmented agricultural landscape

机译:从SPOT图像中绘制森林斑块和零散的树木,并测试它们在破碎的农业景观中对林地鸟类的生态重要性

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摘要

Scattered trees represent an important element within the agricultural matrix for birds. The aims of this study were to develop methods for mapping isolated trees from satellite imagery and to assess the importance of isolated trees for bird species richness. Field sampling of birds and plants was conducted at 120 sites in south-east Australia. We mapped tree cover from Landsat and SPOT images using a combination of spectral and segmentation based methods. Mapping of isolated trees as point objects was highly accurate (80-90%). Tree cover at spatial extents of 3 28 ha around sites explained 60% of the variability in woodland-dependent bird species richness. However, isolated trees in agricultural areas made just a small contribution to explaining the spatial variability in overall avian richness. This approach can be used for more extensive assessment of avian habitat quality from high spatial resolution images across a range of human modified landscapes.
机译:零散的树木代表着鸟类农业矩阵中的重要元素。这项研究的目的是开发从卫星图像绘制孤立树的地图的方法,并评估孤立树对鸟类物种丰富度的重要性。在澳大利亚东南部的120个地点进行了鸟类和植物的现场采样。我们结合使用了基于光谱和分割的方法,对Landsat和SPOT图像的树覆盖图进行了映射。隔离树作为点对象的映射非常准确(80-90%)。地点周围3 28公顷的空间范围内的树木覆盖率解释了林地相关鸟类物种丰富度变化的60%。但是,农业地区的孤立树木对解释整个禽类丰富度的空间变异性贡献很小。此方法可用于从一系列人类修饰景观中的高空间分辨率图像对鸟类栖息地质量进行更广泛的评估。

著录项

  • 来源
    《International journal of remote sensing》 |2009年第12期|3147-3169|共23页
  • 作者单位

    Department of Geography, Hebrew University of Jerusalem, Mt. Scopus Campus, Jerusalem 91905, Israel Centre for Remote Sensing and Spatial Information Science (CRSSIS), School of Geography, Planning and Architecture, St. Lucia Campus, University of Queensland, Brisbane QLD 4072, Australia;

    Centre for Remote Sensing and Spatial Information Science (CRSSIS), School of Geography, Planning and Architecture, St. Lucia Campus, University of Queensland, Brisbane QLD 4072, Australia;

    Centre for Remote Sensing and Spatial Information Science (CRSSIS), School of Geography, Planning and Architecture, St. Lucia Campus, University of Queensland, Brisbane QLD 4072, Australia;

    Centre for Remote Sensing and Spatial Information Science (CRSSIS), School of Geography, Planning and Architecture, St. Lucia Campus, University of Queensland, Brisbane QLD 4072, Australia;

    Centre for Remote Sensing and Spatial Information Science (CRSSIS), School of Geography, Planning and Architecture, St. Lucia Campus, University of Queensland, Brisbane QLD 4072, Australia;

    Science and Research Division, Department of Primary Industries, PO Box 100, Beecroft, NSW 2119, Australia;

    Science and Research Division, Department of Primary Industries, PO Box 100, Beecroft, NSW 2119, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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