首页> 外文期刊>Arabian journal of geosciences >Comparison of identifying land cover tempo-spatial changes using GlobCover and MCD12Q1 global land cover products
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Comparison of identifying land cover tempo-spatial changes using GlobCover and MCD12Q1 global land cover products

机译:使用Globcover和MCD12Q1全球陆地覆盖产品识别土地覆盖凝固凝固凝固凝固变化的比较

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Global land cover (GLC) products have been widely used in land use and land cover change (LUCC). It is an urgent need to investigate the harmonization and comparative methods for different products derived from various satellite imagery and classification schemes. MCD12Q1 and GlobCover were comparatively used to identify the changes of land cover at a provincial scale in China. The European Space Agency (ESA) GlobCover and the Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Type (MCD12Q1) datasets of 2005 and 2009 were used and compared comprehensively. The two products were harmonized and reclassified into six types at 500-m resolution, namely, forestland, grassland, cropland, wetland, artificial area, and others. Four aspects of land cover changing rate (K), land use integrated index (L-d), land use dynamic degree (LUDD), and transfer analysis were respectively identified and analyzed. The analysis results show that the two datasets have similar mapping capabilities in monitoring the LUCC, but there are also obvious differences due to the classification schemes, especially for the forestland and grassland. TheKof forestland and grassland for GlobCover is respectively - 4.94 and 2.90%, while they are 7.63 and - 47.73% for MCD12Q1. TheL(d)difference is, respectively, 10 and 1 for MCD12Q1 and GlobCover. TheLUDDin Anhui Province from 2005 to 2009 is 3.06% for MCD12Q1 and 0.90% for GlobCover. Additionally, the transfer matrix is also constructed to explore the land cover changes. The significant differences between the two datasets are attributed to forestland and grassland. We conclude that the differences are primarily ascribed to the classification systems. The study provides an important reference for identifying provincial LUCC by jointly using different GLC products.
机译:全球陆地覆盖(GLC)产品已广泛用于土地使用和陆地覆盖变化(LUCC)。迫切需要研究来自各种卫星图像和分类方案的不同产品的协调和比较方法。 MCD12Q1和Globcover相互用来识别中国省级陆地覆盖的变化。欧洲航天局(ESA)Globcover和Terra和Aqua组合中度分辨率成像分光仪(MODIS)陆地覆盖类型(MCD12Q1)数据集2005年和2009年,并全面化了。两种产品统一并重新分类为500米的分辨率,即林地,草原,农田,湿地,人造地区等六种类型。土地覆盖变化率(k),土地利用综合指数(L-D),土地使用动态度(LUDD)和转移分析的四个方面分别鉴定和分析。分析结果表明,两个数据集在监测LUCC时具有类似的映射能力,但由于对林地和草原的分类方案,也存在明显的差异。 Globcover的林地和草原分别为4.94和2.90%,而MCD12Q1则为7.63和-47.73%。 (d)差异分别为10和1,用于MCD12Q1和Globcover。 2005年至2009年的Anuddin Anhui省为MCD12Q1和Globcover的0.90%为3.06%。另外,还构造转移矩阵以探索覆盖覆盖变化。两个数据集之间的显着差异归因于林地和草原。我们得出结论,差异主要归因于分类系统。该研究提供了通过共同使用不同的GLC产品来识别省级LUCC的重要参考。

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