衰退型资源城市土地利用时空变化及驱动因素分析
发布时间：2019-03-28 08:28
【摘要】：利用具有较好分类性能的随机森林分类算法,对焦作市1988年、1993年、2001年、2004年、2010年和2014年的多季节TM,ETM+,OLI数据分类后检测其土地利用时空变化,得出土地利用变化数据信息,分析促使其土地利用类型转变的主要驱动因素。结果表明:(1)在遥感影像分类中,DEM的重要性程度大于其他变量。(2)农用地面积在1993年达到最大;建设用地近26a增长1倍多,近几年增速放缓;林地面积近几年有所增加。(3)1993—2001年,裸地和农用地相互转变最为剧烈,8a间土地利用转移综合总量最大。2010—2014年综合年均变化量最大;2001—2004年农用地和林地年均减少量最大,3a间建设用地增长最为迅速。(4)受自然因素的影响,建设用地和农用地的空间变化主要分布在中东部地区。裸地与人口密度呈现极显著负相关,通过显著性0.01水平检验。焦作市地均GDP总量每增加1%,建设用地面积增加0.12%。城市要寻求产业转型,在保证未来新区发展建设的同时,也要保障粮食的供给。
[Abstract]:Based on the stochastic forest classification algorithm with better classification performance, the spatial and temporal changes of land use of Jiaozuo City in 1988, 1993, 2001, 2004, 2010 and 2014 were detected by multi-season TM,ETM and OLI data classification. The data information of land use change is obtained, and the main driving factors of land use type change are analyzed. The results show that: (1) in the classification of remote sensing images, the importance of DEM is greater than other variables. (2) the agricultural land area reached its maximum in 1993, the construction land has more than doubled in recent 26 years, and the growth rate of construction land has slowed down in recent years. The forest land area has increased in recent years. (3) from 1993 to 2001, the change between bare land and agricultural land was the most intense, and the integrated total amount of land use transfer in 8 years was the largest. In 2010-2014, the comprehensive annual change was the largest; From 2001 to 2004, the average annual decrease of agricultural land and forest land was the largest, and the increase of construction land was the fastest in 3 years. (4) affected by natural factors, the spatial changes of construction land and agricultural land were mainly distributed in the middle and eastern part of China. There was a significant negative correlation between bare land and population density, which was tested at the level of significance of 0.01. Jiaozuo city average total GDP increased by 1%, construction land area increased by 0.12%. Cities to seek industrial transformation, while ensuring the future development and construction of new areas, but also to ensure the supply of food.
【作者单位】： 中国地质大学(北京)土地科学技术学院;国土资源部土地整治重点实验室;
【分类号】：F301.24
，
本文编号：2448699
[Abstract]:Based on the stochastic forest classification algorithm with better classification performance, the spatial and temporal changes of land use of Jiaozuo City in 1988, 1993, 2001, 2004, 2010 and 2014 were detected by multi-season TM,ETM and OLI data classification. The data information of land use change is obtained, and the main driving factors of land use type change are analyzed. The results show that: (1) in the classification of remote sensing images, the importance of DEM is greater than other variables. (2) the agricultural land area reached its maximum in 1993, the construction land has more than doubled in recent 26 years, and the growth rate of construction land has slowed down in recent years. The forest land area has increased in recent years. (3) from 1993 to 2001, the change between bare land and agricultural land was the most intense, and the integrated total amount of land use transfer in 8 years was the largest. In 2010-2014, the comprehensive annual change was the largest; From 2001 to 2004, the average annual decrease of agricultural land and forest land was the largest, and the increase of construction land was the fastest in 3 years. (4) affected by natural factors, the spatial changes of construction land and agricultural land were mainly distributed in the middle and eastern part of China. There was a significant negative correlation between bare land and population density, which was tested at the level of significance of 0.01. Jiaozuo city average total GDP increased by 1%, construction land area increased by 0.12%. Cities to seek industrial transformation, while ensuring the future development and construction of new areas, but also to ensure the supply of food.
【作者单位】： 中国地质大学(北京)土地科学技术学院;国土资源部土地整治重点实验室;
【分类号】：F301.24
，
本文编号：2448699
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