基于Landsat卫星影像的纳雍县土地利用变化研究
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摘要
本文以贵州省纳雍县为研究区,以1997年、2006年和2015年的Landsat遥感影像为数据源,利用RS与GIS手段获取研究区土地利用分类图与土地利用转移概率矩阵,建立Markov模型模拟纳雍县未来土地利用类型的演化趋势。结果表明:未来9 a研究区内的耕地、未利用地面积呈现逐年减少的趋势,建设用地不断扩张,林地面积持续较大面积的增加,而水域面积基本没有变化。基于此,建议提高现有建设用地的利用,同时加强对耕地的保护,实现土地资源的合理利用。
Taking Nayong county as the study area and the Landsat remote sensing images from 1997, 2006 and 2015 as data sources, this paper obtains the classification maps of land use changes in Nayong and land use transfer probability matrix by using RS and GIS technique, and establishes Markov Model to simulate the evolution trend of future land use types in Nayong County. The results show that the unutilized area of cultivated land in the study area in the next nine years is decreasing year by year, the construction land is expanding continuously, the area of forest land continues to increase, but the water area is basically unchanged. Therefore, it is suggested that the utilization of existing construction land should be improved, and the protection of cultivated land should be strengthened, in order to realize the rational utilization of land resources.
Taking Nayong county as the study area and the Landsat remote sensing images from 1997, 2006 and 2015 as data sources, this paper obtains the classification maps of land use changes in Nayong and land use transfer probability matrix by using RS and GIS technique, and establishes Markov Model to simulate the evolution trend of future land use types in Nayong County. The results show that the unutilized area of cultivated land in the study area in the next nine years is decreasing year by year, the construction land is expanding continuously, the area of forest land continues to increase, but the water area is basically unchanged. Therefore, it is suggested that the utilization of existing construction land should be improved, and the protection of cultivated land should be strengthened, in order to realize the rational utilization of land resources.
引文
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[12] 张真,王璐,廖琪,等.基于Markov模型的土地利用变化预测研究——以广东省顺德区为例[J].广东土地科学,2014,13(3):4-8.
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[14] 付仲良,陈静.多时相Landsat数据动态监测城市土地利用变化——以上海市为例[J].地理信息世界,2016,23(6):26-30.
[15] 田姣姣.北京市土地利用变化分析及预测方法研究[D].北京:中国地质大学,2018.
[16] 安宏锋,安裕伦.纳雍县土地利用动态变化分析[J].贵州师范大学学报(自然科学版),2010,28(2):32-35.
[17] 张赫林,彭代亮,邓睿,等.基于Landsat时间序列数据的祁连山区域土地利用变化[J].北京工业大学学报,2017,43(5):665-676.
[2] MISHRA V N,RAI P K.A remote sensing aided multi-layer perceptron-Markov chain analysis for land use and land cover change prediction in Patna district (Bihar),India[J].Arabian Journal ofGeosciences,2016,9(4):249-267.
[3] KUSRATMOKO E,ALBERTUS S D Y,SUPRIATNA.Modelling land use/cover changes with markov-cellular automata in Komering Watershed,South Sumatera[J].IOP Conference Series:Earth and Environmental Science,2017,54:012103.
[4] TERRA T N,SANTOS R F D,COSTA D C.Land use changes in protected areas and their future:The legal effectiveness of landscape protection[J].Land Use Policy,2014,38(2):378-387.
[5] 朱龙.基于RS-GIS的瑞昌市土地利用变化与土地生态安全评价研究[D].上海:东华理工大学,2018.
[6] 刘孝国,郄瑞卿,董军.基于马尔可夫模型的吉林市土地利用变化预测[J].中国农学通报,2012,28(29):226-229.
[7] 施益强,吴志强.近20年厦门市土地利用动态变化及预测[J].水土保持通报,2014,34(5):176-180.
[8] 王慧丽.郑州市城市化中土地利用变化及其驱动力研究[D].开封:河南大学,2017.
[9] 陈青.基于LUCC的福清市生态系统服务价值及功能变化研究[D].福州:福建农林大学,2015.
[10] 韩冰倩.贵阳市土地利用变化模拟预测研究[D].贵阳:贵州师范大学,2017.
[11] 雷师,全斌,欧阳鸿,等.基于Markov模型的长沙市和泉州市土地利用变化预测及对比研究[J].水土保持研究,2013,20(6):224-229.
[12] 张真,王璐,廖琪,等.基于Markov模型的土地利用变化预测研究——以广东省顺德区为例[J].广东土地科学,2014,13(3):4-8.
[13] 唐俊,段汉明,焦倩,等.基于Markov链的兰州市土地利用结构研究[J].未来与发展,2015,39(7):108-113.
[14] 付仲良,陈静.多时相Landsat数据动态监测城市土地利用变化——以上海市为例[J].地理信息世界,2016,23(6):26-30.
[15] 田姣姣.北京市土地利用变化分析及预测方法研究[D].北京:中国地质大学,2018.
[16] 安宏锋,安裕伦.纳雍县土地利用动态变化分析[J].贵州师范大学学报(自然科学版),2010,28(2):32-35.
[17] 张赫林,彭代亮,邓睿,等.基于Landsat时间序列数据的祁连山区域土地利用变化[J].北京工业大学学报,2017,43(5):665-676.