【作者】 刘丽梅；

【导师】 李志忠；

【作者基本信息】 新疆师范大学 ， 自然地理学， 2007， 硕士

【摘要】 随着全球变化研究的深入,土地利用/土地覆盖变化研究受到越来越多的重视。土地利用作为全球环境的下垫面影响因子,其变化给全球环境演变带来最直接的影响。本文以新疆洛浦县为研究样区,以遥感(RS)这种快速获取地面宏观信息的重要技术手段和地理信息系统(GIS)为基础,对洛浦县1995年到2000年间土地利用变化情况进行了研究。在研究中,根据洛浦县的TM数据,选择适合研究区的影像处理技术,研究出土地利用变化情况。以此为基础对土地利用的动态变化过程和土地利用类型间的转化进行了定量分析,并运用马尔可夫模型对土地利用变化趋势进行预测和分析。本文研究的内容包括以下几个主要部分:第一部分综述了土地利用变化及GIS在土地利用研究中的应用。第二部分介绍了本文研究的主要目标及意义,论述了本文的研究内容和方法。第三部分详细介绍了数据获取和处理过程;第四部分是在GIS支持下,通过对不同时期土地利用图的空间叠加分析,求出各时期土地利用类型的转移概率矩阵,进而定量化分析了洛浦县土地利用数量变化和空间分异并根据马尔可夫预测模型对未来土地利用变化进行预测。最后一部分是对洛浦县土地利用的驱动力分析。研究结果表明:洛浦县的低覆盖度草地、高覆盖度草地、盐碱地和沼泽地在减少;林地、耕地、城乡工矿居民用地、中覆盖度草地、戈壁和沙地在增加。更多还原

【Abstract】 With the more study of the global change, the study of land use/land cover change is paid more and more attentions. As an influential factor to the environment on the ground, land use/land cover change affects the global environmental evolution, and is paid attentions by many countries in the world.Taking Xinjiang LuoPu County as the sample region based on the integration both remote sensing (RS) which is an important technique means of quickly capturing the land use information and geographical information system (GIS), we detects the land use changes in LuoPu County in 2000. According to TM data of LuoPu County during the study, we reliably and actively identify the changes of land use by selecting the handling technology of images suitable for the study area. The dynamic evolution process of land use and the transformation each other among all types of land use are analyzed quantitatively. As the same time, based on the above study, the author forecasts and deeply studies changeable tendency of land use by using Markov model.The paper is divided into five parts as follows: The first part reviews the present study about land use change and GIS application in studying of land use change. The second part introduces the study target and significance, comments the study Content and methods. The third part introduces the geographical environment in luopu County. The fourth part detailedly introduces the process of the data gaining and analyzing. The five part analyzes the temporal-spatial change about land use. Based on the Markov model, land use change is predicted in the future. The last part analyzes driving forces on the land use of luopu.The results of the research show that the area of grass land, residential land, industrial land and traffic land, Alkali-saline land and bog land has been decreased; the area of forests. tillable land, grass land, gebi desert and desert have been increased.更多还原