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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >The relationship between threshold-based and inflexion-based approaches for extraction of land surface phenology
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The relationship between threshold-based and inflexion-based approaches for extraction of land surface phenology

机译:基于阈值和基于Inflexion的提取方法与陆地表面候选的关系

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Abstract The inflexion-based and threshold-based approaches are the two most popular approaches for extracting land surface phenology (LSP). The first approach uses inflexion point of the vegetation growth curve to determine the start-of-season (SOS) and end-of-season (EOS), while the second approach identifies SOS and EOS with a predefined percentage of vegetation growth amplitude. These two approaches have long been thought to be independent. In this letter, we investigated the relationship between the two approaches for extracting SOS. It was found that the thresholds at several key points in the inflexion-based approach are constant. The threshold at the inflexion point for SOS and EOS is 9.18% of vegetation growth amplitude. This threshold can link the SOS derived from the two approaches, which made it possible to determine the significant vegetation growth transitions for the threshold-based approach. Other thresholds for SOS retrieval, such as commonly-used 10% and 20% of vegetation growth amplitude, were also analyzed using a global reference NDVI. A high SOS difference between the two approaches indicates a slow vegetation growth. Highlights ? The relationship of inflexion-based and threshold-based approach was investigated. ? The threshold at the transitional point for SOS is 9.18%. ? The relationship makes retrieval of the timing at some specific points simple. ]]>
机译:<![cdata [ 抽象 基于阈值和基于阈值的方法是提取陆地候选的两种最流行的方法(LSP) 。第一种方法使用植被生长曲线的inflxion点来确定季节开始(SOS)和季节(EOS),而第二种方法以预定义的植被生长幅度识别SOS和EOS。这两种方法长期以来被认为是独立的。在这封信中,我们调查了两种提取SOS方法之间的关系。发现,基于Inflexion的方法的几个关键点处的阈值是恒定的。 SOS和EOS的Inflexion点的阈值是9.18%的植被生长幅度。该阈值可以将来自两种方法的SO链接,这使得可以确定基于阈值的方法的显着植被生长转变。使用全球参考NDVI还分析了SOS检索的其他SOS检索的阈值,例如常用的10%和20%的植被生长振幅。两种方法之间的高SOS差异表明了植被生长缓慢。 突出显示 研究了基于阈值和基于阈值的方法的关系。 < CE:标签>? SO的过渡点的阈值为9.18%。 关系使某些关系检索定时具体点简单。 ]]>

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  • 作者单位

    State key Laboratory of Resources and Environmental Information system Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences;

    State key Laboratory of Resources and Environmental Information system Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences;

    International Institute for Earth System Science Nanjing University;

    State key Laboratory of Resources and Environmental Information system Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences;

    State key Laboratory of Resources and Environmental Information system Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences;

    State key Laboratory of Resources and Environmental Information system Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境监测;一般性问题;地球物理学;
  • 关键词

    Land surface phenology; Vegetation growth trajectory; SOS; EOS; MODIS;

    机译:土地表面候选;植被生长轨迹;SOS;EOS;MODIS;

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