[1]郭平,周伟,袁涛,等.衰退型资源城市土地利用时空变化及驱动因素分析[J].水土保持研究,2016,23(04):191-198.
　GUO Ping,ZHOU Wei,YUAN Tao,et al.Analysis on the Temporal and Spatial Change of Land Use and Its Driving Factors of Declining Resources-Based City[J].Research of Soil and Water Conservation,2016,23(04):191-198.
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衰退型资源城市土地利用时空变化及驱动因素分析

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 23 期数: 2016年04期 页码: 191-198 栏目: 出版日期: 2016-08-28
Title:
Analysis on the Temporal and Spatial Change of Land Use and Its Driving Factors of Declining Resources-Based City
作者:
郭平1, 周伟1,2, 袁涛1,2, 韩瑾1
1. 中国地质大学(北京) 土地科学技术学院, 北京 100083;
2. 国土资源部土地整治重点实验室, 北京 100083
Author(s):
GUO Ping1, ZHOU Wei1,2, YUAN Tao1,2, HAN Jin1
1. School of Land Science and Technology, China University of Geosciences(Beijing), Beijing 100083, China;
2. Key Laboratory of Land Regulation Ministry of Land Resources, Beijing 100083, China
关键词:
土地利用类型; 衰退型资源城市; 驱动力; 随机森林; 焦作市
Keywords:
land use type; declining resources-based city; driving factors; Random Forests; Jiaozuo City
分类号:
F301.24
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26 a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，8 a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，3 a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:
Multi-seasonal TM, ETM+ and OLI remote sensing images data of Jaozuo City in 1988, 1993, 2001, 2004, 2010 and 2014 were classified by using Random Forests algorithm. The dynamic of land use/cover was then obtained and related to the main driving factors. The results showed that:(1) DEM was more important than other variables during the process of classification, especially for forest; (2) the area of agricultural land reached the maximum in 1993, construction area increased doubled in the past 26 years, but the growth rate slowed the slowdown trend in recent years, while forest area only increased in recent years; (3) the bare land and farmland experienced the most dramatic change during the period from 1993 to 2001, the annual decrement of agricultural land and forest land was the largest during the period from 2001 to 2004, and the construction land increased the most rapid in 3 years, the annual change was the largest during the period from 2010 to 2014 in terms of all the land uses/covers; (4) the contruction land and agricultural land were mainly located in the middle and eastern regions due to the constraint of topography. The bare land and population density showed the significantly negative correlation (p < 0.01). The 1% increase of GDP resulted from 0.12% increase of oconstruction land area in Jiaozuo City. This study indicates that farmland should be protected to meet food demand during the process of industrial transformation.

参考文献/References:

[1] 刘力刚,罗元文.资源型城市可持续发展战略[M].北京:经济管理出版社,2006.
[2] 孙纪.资源型城市土地利用的空间效应[D].沈阳:沈阳师范大学,2014.
[3] Nyoungui A N, Tonye E, Akono A. Evaluation of speckle filtering and texture analysis methods for land cover classification from SAR images[J]. International Journal of Remote Sensing,2002,23(9):1895-1925.
[4] 刘春悦,张树清,江红星,等.对应分析在多时相遥感影像分类前变化检测中的应用:以江苏省盐城市为例[J].资源科学,2008,30(9):1409-1414.
[5] 吴柯,牛瑞卿,王毅,等.基于PCA与EM算法的多光谱遥感影像变化检测研究[J].计算机科学,2010,37(3):282-284.
[6] 尤淑撑,刘顺喜,李小文,等.基于空间约束关系的土地利用/覆被遥感分类方法研究[J].农业工程学报,2005,21(9):51-55.
[7] 袁国华,郑娟尔,王世虎.资源型城市土地利用政策研究[M].北京:地质出版社,2014.
[8] Schneider A. Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach[J]. Remote Sensing of Environment,2012,124:689-704.
[9] 詹森.遥感数字影像处理导论[M].北京:机械工业出版社,2007.
[10] 厍向阳,薛惠锋,雷学武,等.基于分类规则挖掘的遥感影像分类研究[J].遥感学报,2006,10(3):332-338.
[11] Ma L, Deng J, Yang H, et al. Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-oriented multi-variable model[J]. Frontiers of Information Technology & Electronic Engineering,2015,16:238-248.
[12] 王崇倡,郭健,武文波.基于ERDAS的遥感影像分类方法研究[J].测绘工程,2007,16(3):31-34.
[13] 郑明国,蔡强国,秦明周,等.一种遥感影像分类精度检验的新方法[J].遥感学报,2006,10(1):39-48.
[14] Pal M, Mather P M. An assessment of the effectiveness of decision tree methods for land cover classification[J]. Remote sensing of environment,2003,86(4):554-565.
[15] Rodriguez-Galiano V F, Chica-Olmo M, Abarca-Hernandez F, et al. Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture[J]. Remote Sensing of Environment,2012,121:93-107.
[16] Na X, Zhang S, Zhang H, et al. Integrating TM and ancillary geographical data with classification trees for land cover classification of marsh area[J]. Chinese Geographical Science,2009,19(2):177-185.
[17] 杨耘,徐丽,颜佩丽.条件随机场框架下基于随机森林的城市土地利用/覆盖遥感分类[J].国土资源遥感,2014,26(4):51-55.
[18] Breiman L. Random forests[J]. Machine Learning,2001,45(1):5-32.
[19] 李欣海.随机森林模型在分类与回归分析中的应用[J].应用昆虫学报,2013,50(4):1190-1197.
[20] 崔步礼,李小雁,姜广辉,等.基于DEM的山地丘陵区土地利用/覆被研究:以青海湖流域为例[J].自然资源学报,2011,26(5):871-880.
[21] 林成德,彭国兰.随机森林在企业信用评估指标体系确定中的应用[J].厦门大学学报:自然科学版,2007,46(2):199.
[22] 吴郁玲,曲福田.中国城市土地集约利用的影响机理:理论与实证研究[J].资源科学,2007,29(6):106-113.

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　XIE Xian-jian,WEI Fang-qiang.Study on Fractal Dimension and Stability of Land Use Types in the Area with High-frequency Debris Flow[J].Research of Soil and Water Conservation,2011,18(04):167.

备注/Memo

收稿日期:2015-12-15;改回日期:2016-01-07。
作者简介:郭平(1990-),男,贵州毕节市人,硕士生,主要研究方向为3S技术及应用。E-mail:yrguoping@163.com
通讯作者:周伟(1972-),男,甘肃会宁人,教授,博士,主要研究方向为土地资源管理。E-mail:zhouw@cugb.edu.cn

更新日期/Last Update: 1900-01-01