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首页> 外文期刊>International journal of remote sensing >Monitoring rubber plantation distribution on Hainan Island using Landsat OLI imagery
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Monitoring rubber plantation distribution on Hainan Island using Landsat OLI imagery

机译:利用Landsat OLI影像监测海南岛橡胶园分布

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摘要

Rubber expansion has been widely explored at various scales due to its increasing environmental and socio-economic impact and the global demand for natural rubber products. However, accurate and up-to-date maps and large-scale monitoring of rubber plantation spatial distribution are not yet available. In this article, we developed a simple algorithm for rapidly and accurately mapping rubber plantations on Hainan Island, China, by combining survey samples and Landsat 8 Operational Land Imager data from 2014 in order to understand their spatial distribution. The results showed that rubber plantations are distinguishable from other land-cover types by band value changes, vegetation index changes, and phenological phase changes (defoliation and foliation) and can be accurately extracted from multi-temporal Landsat images using a decision tree method and Google Earth Engine. This method results in a high overall classification accuracy of 92.17% with a corresponding of 84.33%. Rubber plantations are concentrated in the northwest of Hainan Island and gradually decrease to the south and east. Most plantations are found in the 50-500-m elevation range, with few found outside this range. We believe that the proposed approach will have significant implications for mapping and monitoring rubber spatial distribution at regional scales.
机译:由于其对环境和社会经济的影响日益增加以及全球对天然橡胶产品的需求,已在各种规模上广泛地探索了橡胶膨胀。但是,尚无准确和最新的地图以及对橡胶园空间分布的大规模监视。在本文中,我们结合了调查样本和2014年的Landsat 8 Operational Image Imager数据,开发了一种用于快速准确绘制中国海南岛橡胶园地图的简单算法,以了解其空间分布。结果表明,橡胶带与其他土地覆盖类型的区别在于带值变化,植被指数变化和物候相位变化(落叶和叶面),并且可以使用决策树方法和Google从多时相Landsat图像中准确提取地球引擎。该方法的总分类准确度高达92.17%,对应的准确度为84.33%。橡胶园集中在海南岛的西北部,并逐渐减少到南部和东部。大部分人工林位于海拔50-500米的范围内,很少有人工林在此范围之外。我们认为,该提议的方法将对区域规模的橡胶空间分布图的绘制和监测产生重大影响。

著录项

  • 来源
    《International journal of remote sensing 》 |2018年第8期| 2189-2206| 共18页
  • 作者单位

    Chinese Acad Sci, Shenzhen Inst Adv Technol, Ctr Geospatial Informat, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China;

    Chinese Acad Sci, Shenzhen Inst Adv Technol, Ctr Geospatial Informat, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China;

    Chinese Acad Sci, Shenzhen Inst Adv Technol, Ctr Geospatial Informat, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China;

    Chinese Acad Sci, Shenzhen Inst Adv Technol, Ctr Geospatial Informat, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China;

    Chinese Acad Sci, Shenzhen Inst Adv Technol, Ctr Geospatial Informat, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China;

    Chinese Acad Sci, Shenzhen Inst Adv Technol, Ctr Geospatial Informat, 1068 Xueyuan Ave, Shenzhen 518055, Peoples R China;

  • 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
  • 中图分类
  • 关键词

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