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Research on the Application of Decision Tree in the Classification of Shandong Peninsula Land Use and Land Cover Change

机译:决策树在山东半岛土地利用分类中的应用研究

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Land use type is the main content of land use and land cover studies, and the Land Dynamic Monitoring has been focusing on getting information of land cover on the global and regional scale quickly and accurately. This paper takes Shandong Peninsula as an example, MODIS remote sensing as data source, and selects MODIS09Q1 products of the first period in 8-day. Such group index number as NDVI, ENI, NDWI, NDMI will be illustrated to analyze the spectral relation between different land use types and construct new wave bands, finally the application of the decision tree in Shandong Peninsula land use and vegetation cover status will be researched. The results show that the adoption of MODIS data in macroscopical land use classification can achieve high classification accuracy. Such land types as the cultivated land and urban residential sites, which distribute in complete range have a higher accuracy, while such scattered land types as rural residential land and grassland have a lower accuracy.
机译:土地利用类型是土地利用和土地覆盖研究的主要内容,土地动态监测一直专注于迅速准确地获取全球和区域规模的土地覆盖信息。本文以山东半岛为例,MODIS遥感为数据源,并选择第一个时期的MODIS09Q1产品8天。将这些群体指数号作为NDVI,ENI,NDWI,NDMI将被说明,分析不同土地利用类型之间的光谱关系,并构建新波频段,最后将研究山东半岛土地使用和植被覆盖状态将研究。结果表明,采用Modis数据在宏观土地使用分类中可以实现高分类精度。这种土地类型作为耕地和城市住宅场所,其在完整范围内分布更高的准确性,而农村住宅用地和草原的这种分散的土地类型具有较低的准确性。

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