Comparison of relative uniformity between GLOBCOVER and MODIS land cover data sets

被引：0
作者：
Song, Hongli [1 ]
Zhang, Xiaonan [1 ]
Wang, Yu [1 ]
Wang, Meng [2 ]
机构：
[1] Resources College, Hebei University of Engineering
[2] The 2nd Institute of Surveying and Mapping of Hebei Province
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2012年 / 28卷 / 15期
关键词：
Analysis of confusion; Land cover; Relative consistency; Remote sensing;
D O I：
10.3969/j.issn.1002-6819.2012.15.019
中图分类号：
学科分类号：
摘要：
The information on land cover at national scales is critical for addressing a range of problems, including climate change, biodiversity conservation, ecosystem assessment and environmental modeling. In this study, two of the most highly resolution global land cover products were compared: GLOBCOVER and MODIS Collection5, with resolution 300 m and 500 m, respectively, by using the relative comparison analysis to identify areas of spatial agreement and disagreement in national, regional and category levels. The result show that: there is a consistency in national scale, but there remain substantial inconsistencies and discrepancies in subarea, especially in Northeast and Southwest zone; Two products have a serious confusion between Forest/mixed forest, Woodland/shrub land, Cropland and Grassland, especially the Crop land between other categories; the gap for overall accuracy and kappa coefficient form national scale to subarea scale is conspicuous, the value vary from 27.01% to 56.35% for overall accuracy; the range vary from 16.57% to 47.09% for kappa coefficient. Northeast zone has the best consistency with the national scale in general, but Sichuan Basin has the worst consistency with the nation scale. MODIS has a well homogeneous category than GLOBCOVER, the relation between the difference value of homogeneous category and category consistency present an obvious negative correlation, the R 2 is 0.724. The results can provide a reference for land cover research.
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页码：118 / 124
页数：6
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