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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product
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Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product

机译:年度全球土地封面2001的分层映射到呈现:MODIS系列6陆地覆盖产品

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Land cover and land use maps provide an important basis for characterizing the ecological state and biophysical properties of Earth's land areas. The Collection 5 MODIS Global Land Cover Type product, initially released in 2010, was produced at annual time steps and has been widely used in the land science community. In this paper we describe refinements and improvements, in both the algorithm and the resulting map data sets, that have been implemented in the MODIS Collection 6 Global land Cover Type product. Unlike the Collection 5 product, which was based on the 17-class International Geosphere-Biosphere Programme (IGBP) legend, the Collection 6 algorithm uses a hierarchical classification model where the classes included in each level of the hierarchy reflect structured distinctions between land cover properties. The resulting suite of nested classifications is combined to create eight distinct classification schemes including the five legacy schemes included in Collection 5, and three new legends based on the FAO-Land Cover Classification System (LEGS) that distinguish between land cover, land use, and surface hydrologic state. The Collection 6 algorithm also incorporates a state-space multitemporal modeling framework based on hidden Markov models that reduce spurious land cover changes introduced by classification uncertainty in individual years. Among other changes, relative to Collection 5, the Collection 6 product includes less area mapped as forests, open shrublands, and cropland/natural vegetation mosaics, and more area mapped as woodlands and grasslands. Accuracy assessment indicates that the Collection 6 product has an overall accuracy of 73.6% for the primary LCCS layer and that the amount of spurious land cover change has been substantially reduced in Collection 6 relative to Collection 5 (1.6% in C6 and 11.4% in C5).
机译:陆地覆盖和土地利用地图为表征地球土地地区的生态状态和生物物理特性提供了重要依据。收集5 Modis全球陆地覆盖类型产品最初在2010年发布,在年度时间步骤中生产,并已广泛用于土地科学界。在本文中,我们描述了在Modis Collection 6全局陆覆盖类型产品中实现的算法和所得到的地图数据集的改进和改进。与基于17级国际地理学 - 生物圈 - 生物圈计划(IGBP)传说的集合5产品不同,集合6算法使用分层分类模型,其中包括在层次结构的每个级别中的类中包含的陆地覆盖属性之间的结构化区别。结合所得到的嵌套分类套件以创建八种不同的分类方案,包括集合5中包含的五个传统方案,以及基于粮农组织覆盖分类系统(腿)的三个新的传说,区分陆地覆盖,土地利用和表面水文状态。集合6算法还包括基于隐藏的马车模型的状态空间多模型建模框架,这些模型减少了各个年份通过分类不确定性引入的虚假地覆盖变化。在其他变化之外,相对于收集5,集合6产品包括较少的区域映射为森林,开放灌木丛和农田/天然植被马赛克,以及更多地区映射为林地和草原。精度评估表明,收集6产品的总精度为主要LCC层,杂志的总精度为73.6%,而杂散陆地覆盖的数量相对于收集5(C6中的1.6%和11.4%1.6%,C5中的1.6%和11.4%)大幅减少)。

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