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Multitemporal WorldView satellites imagery for mapping chestnut trees

机译:用于绘制栗树的多时间WorldView卫星图像

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摘要

Chestnuts have been part of the landscape and popular culture of the Canary Islands (Spain) since the sixteenth century. Many crops of this species are in state of abandonment and an updated mapping for its study and evaluation is needed. This work proposes the elaboration of this cartography using two satellite images of very high spatial resolution captured on two different dates and representing well-differentiated phenological states of the chestnut: a WorldView-2 image of March 10th, 2015 and a WorldView-3 image of May 12th, 2015 (without and with leaves respectively). Two study areas were selected within the municipality of La Orotava (Tenerife Island). One of the areas contains chestnut trees dispersed in an agricultural and semi-urban environment and in the other one, the specimens are grouped forming a forest merged with Canarian pines and other species of Monteverde. The Maximum Likelihood (ML), the Artificial Neural Networks (ANN) and the Spectral Angle Mapper (SAM) classification algorithms were applied to the multi-temporal image resulting from the combination of both dates. The results show the benefits of using the multi-temporal image for Pinolere with the ANN algorithm and for Chasna area with ML algorithm, in both cases providing an overall accuracy close to 95%.
机译:自十六世纪以来,栗子就一直是加那利群岛(西班牙)景观和流行文化的一部分。该物种的许多农作物都处于废弃状态,需要对其研究和评估进行更新的作图。这项工作提出了使用两个在两个不同日期捕获的空间分辨率非常高的卫星图像(代表栗子的分化状态非常好)的两个卫星图像进行精心制作的图像:2015年3月10日的WorldView-2图像和2015年3月10日的WorldView-3图像2015年5月12日(分别不含叶子)。在拉奥罗塔瓦市(特内里费岛)内选择了两个研究区域。其中一个区域包含散布在农业和半城市环境中的栗树,而另一区域中,这些标本被分组在一起,形成了一片森林,与加那利松树和其他蒙特维德树种融合在一起。将最大似然(ML),人工神经网络(ANN)和光谱角映射器(SAM)分类算法应用于这两个日期组合产生的多时相图像。结果表明,将多时相图像与ANN算法一起用于Pinolere以及将ML算法应用于Chasna地区,在两种情况下均可提供接近95%的整体精度。

著录项

  • 来源
  • 会议地点 Warsaw(PL)
  • 作者单位

    Grupo de Observation de la Tierra y la Atmosfera, Departamento de Fisica, Universidad de La Laguna, 38200 San Cristobal de La Laguna, Spain;

    Grupo de Observation de la Tierra y la Atmosfera, Departamento de Fisica, Universidad de La Laguna, 38200 San Cristobal de La Laguna, Spain;

    Grupo de Analisis de Imagenes, Departamento de Informatica, Universidad de Almeria, 04120 Almeria, Spain;

    Grupo de Observation de la Tierra y la Atmosfera, Departamento de Fisica, Universidad de La Laguna, 38200 San Cristobal de La Laguna, Spain;

    Grupo de Observation de la Tierra y la Atmosfera, Departamento de Fisica, Universidad de La Laguna, 38200 San Cristobal de La Laguna, Spain;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    WorldView-2; WorldView-3; chestnut; mapping; multi-temporal; Tenerife; Canary Islands;

    机译:WorldView-2; WorldView-3;板栗;映射多时相特内里费岛加那利群岛;

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