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Mapping mangrove changes in the Matang Mangrove Forest using multi temporal satellite imageries

机译:使用多时相卫星图像绘制玛当红树林的红树林变化图

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摘要

The Matang Mangrove Forest is the largest single mangrove forest in Peninsular Malaysia, covering an area of more than 40,000 ha. As a national treasure, it lies under the jurisdiction of both the federal and state authorities. Monitoring temporal changes of mangrove area on a large scale requires a more efficient tool. Remote sensing is often a reliable alternative to ground-survey methods that provides useful source of information and coverage that is timely and complete especially in mangroves areas where accessibility is difficult. In this study, status and changes of land use and land cover in the Matang Mangrove Forest during the past 18 years (1993-1999,1999 to 2011 and 1993 to 2011) were determined using multi temporal satellites, and threats to the ecosystems were also identified. Classification of land use and land cover approach was implemented using the maximum likelihood classifier (MLC) along with vegetation index differencing (NDVI) technique. Classification accuracy at 85.7%, 90%, and 88.9% with Kappa statistics of 0.82, 0.88, and 0.94 respectively for 1993, 1999 and 2011 image were obtained. The overall change in the area during the 18-year period indicated the loss of mangrove area at 8017.3 ha, while 2998 ha was newly planted or rehabilitated. The present study revealed that Rhizophora apiculata and Rhizophora mucronata are still being preserved, accounting to more than 80%. of the total species. Temporal changes of the mangrove for the 18-year period showed that the mangroves were converted to water bodies at 31.1%, dry land forest at 30.6%, oil palm plantation at 18.9%, aquaculture at 11.1%, paddy plantation at 4.9%, horticulture at 3.1%, and urban settlement area at 0.3%. Threats towards the mangrove area were due to erosion, tree harvesting rotation, transitional forest, shrimp ponds, illegal agricultural activities and trespassing. The findings indicated an approach in collecting regular and appropriate mangrove forest area database and detection of activities that violate regulations. This will provide adequate information to the stakeholders in enhancing the management practise and for legislative purposes. Hence, combinations of these approaches has been proven to be adequate in detecting changes in the mangrove area and indicating the nature of the changes which will promote and enhance the management planning process towards sustainability of the Matang Mangrove Forest. (C) 2015 Elsevier Ltd. All rights reserved.
机译:Matang红树林是马来西亚半岛最大的单一红树林,面积超过40,000公顷。作为国宝,它受联邦和州政府的管辖。大规模监测红树林区域的时间变化需要更有效的工具。遥感通常是地面测量方法的可靠替代方法,后者提供了及时而完整的有用信息和覆盖范围,尤其是在难以接近的红树林地区。在这项研究中,使用多时相卫星确定了过去18年(1993-1999年,1999年至2011年和1993年至2011年)马当红树林的土地利用状况和变化,以及对生态系统的威胁确定。使用最大似然分类器(MLC)和植被指数差异(NDVI)技术实现了土地利用和土地覆盖的分类。 1993年,1999年和2011年的图像的分类准确率分别为85.7%,90%和88.9%,Kappa统计数据分别为0.82、0.88和0.94。在18年的时间里,该地区的总体变化表明,红树林面积减少了8017.3公顷,而新种植或修复的面积为2998公顷。目前的研究表明,仍然保留了尖头根霉和粘菌根,占80%以上。总物种中的红树林在18年的时间变化表明,红树林已转化为水体,占31.1%,旱地森林占30.6%,油棕种植园占18.9%,水产养殖占11.1%,水稻种植占4.9%,园艺占3.1%,城市居民区占0.3%。对红树林地区的威胁是由于侵蚀,树木采伐的轮换,过渡性森林,虾塘,非法的农业活动和侵入。调查结果表明了一种收集常规和适当的红树林面积数据库以及发现违反法规的活动的方法。这将为利益相关者提供足够的信息,以加强管理实践并达到立法目的。因此,已证明这些方法的组合足以检测红树林区域的变化并表明变化的性质,这将促进和增强管理规划过程,以实现玛当红树林的可持续性。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Ocean & coastal management》 |2015年第9期|64-76|共13页
  • 作者单位

    Univ Kebangsaan Malaysia, Sch Environm & Nat Resource Sci, Fac Sci & Technol, Bangi 43600, Selangor, Malaysia;

    Univ Kebangsaan Malaysia, Sch Environm & Nat Resource Sci, Fac Sci & Technol, Bangi 43600, Selangor, Malaysia;

    Univ Kebangsaan Malaysia, Sch Environm & Nat Resource Sci, Fac Sci & Technol, Bangi 43600, Selangor, Malaysia;

    Univ Malaysia Terengganu, Sch Fisheries & Aquaculture, Kuala Terengganu 21030, Terengganu, Malaysia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Mangrove change; MLC; NDVI; Satellite imageries; Matang Mangrove Forest;

    机译:红树林变化;MLC;NDVI;卫星图像;玛塘红树林;

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