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首页> 外文期刊>International journal of remote sensing >Use of UK-DMC 2 and ALOS PALSAR for studying the age of oil palm trees in southern peninsular Malaysia
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Use of UK-DMC 2 and ALOS PALSAR for studying the age of oil palm trees in southern peninsular Malaysia

机译：使用UK-DMC 2和ALOS PALSAR研究马来西亚南部半岛的油棕树的年龄

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摘要

This article demonstrates some techniques for studying the age of oil palm trees (Elaeis guineensis Jacq.) using the Disaster Monitoring Constellation 2 from the UK (UK-DMC 2) and Advanced Land Observing Satellite phased array L-band synthetic aperture radar (ALOS PALSAR) remote-sensing data at a private oil palm estate in southern peninsular Malaysia. Several techniques were explored with UK-DMC 2 data, namely (1) radiance, vegetation indices, and fraction of shadow; (2) texture measurement; (3) classifications, namely Iterative Self-Organizing Data Analysis Technique (ISODATA) classification, maximum-likelihood classification (MLC), and random forest (RF) classification; (4) in terms of ALOS PALSAR data, the correlation of polarizations (i.e. horizontal transmitting and horizontal receiving (termed HH polarization) and horizontal transmitting and vertical receiving (termed HV polarization)) and the ratio of these polarizations to the age of oil palm trees. From the results, band 1 (near-infrared) of UK-DMC 2, fraction of shadow, and mean filter from the grey-level co-occurrence matrix (GLCM) demonstrated strong correlation of determination (R~2 = 0.76-0.80) with the age of oil palm trees, while the ALOS PALSAR HH polarization could correlate moderately strongly (R~2 = 0.49) with the age of oil palm trees. Adding fraction of shadow and UK-DMC 2 data using the RF method further improved the overall accuracy of age classification from 45.3% (MLC method) to 52.9%. This study concluded that texture measurement (GLCM mean) and fraction of shadow are useful for studying the age of oil palm trees, although discriminating variation in age between mature oil palm trees is difficult because the leaf area index development of mature oil palm trees stabilizes at about 10 years of age. Future studies should involve height information, because this has the potential to be used as one of the most important variables for studying the age of oil palm frees.
机译：本文演示了一些使用英国的灾难监测星座2（UK-DMC 2）和高级陆地观测卫星相控阵L波段合成孔径雷达（ALOS PALSAR）研究油棕树（Elaeis guineensis Jacq。）年龄的技术。 ）在马来西亚南部半岛的一个私人油棕庄园进行的遥感数据。利用UK-DMC 2数据探索了几种技术，即（1）辐射度，植被指数和阴影部分； （2）纹理测量； （3）分类，即迭代自组织数据分析技术（ISODATA）分类，最大似然分类（MLC）和随机森林（RF）分类； （4）就ALOS PALSAR数据而言，极化的相关性（即水平发射和水平接收（称为HH极化）和水平发射和垂直接收（称为HV极化））以及这些极化与油棕年龄的比率树木。根据结果​​，UK-DMC的波段1（近红外）2，阴影部分和来自灰度共生矩阵（GLCM）的均值滤光片显示出测定的强相关性（R〜2 = 0.76-0.80）与油棕树的年龄有关，而ALOS PALSAR HH极化与油棕树的年龄有中等程度的强相关性（R〜2 = 0.49）。使用RF方法添加阴影和UK-DMC 2数据的比例进一步将年龄分类的整体准确性从45.3％（MLC方法）提高到52.9％。这项研究得出的结论是，尽管很难区分成熟油棕树之间的年龄变化，因为成熟油棕树的叶子面积指数稳定在200℃，但质地测量（GLCM平均值）和阴影分数对于研究油棕树的年龄是有用的。大约10岁。未来的研究应涉及高度信息，因为高度信息有可能被用作研究油棕游离年龄的最重要变量之一。

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  • 来源
    《International journal of remote sensing》 |2013年第20期|7424-7446|共23页
  • 作者

    Kian Pang Tan; Kasturi Devi Kanniah; Arthur Philip Cracknell;

  • 作者单位

    Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia;

    Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia;

    Division of Electronic Engineering and Physics, University of Dundee, Dundee DDI 4HN, Scotland, UK;

  • 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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