基于GlobeLand30的全球城乡建设用地空间分布与变化统计分析

doi:10.11947/j.AGCS.2015.20140677

测绘学报 ›› 2015, Vol. 44 ›› Issue (11): 1181-1188.doi: 10.11947/j.AGCS.2015.20140677

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基于GlobeLand30的全球城乡建设用地空间分布与变化统计分析

陈军¹, 陈利军¹, 李然¹, 廖安平¹, 彭舒¹, 鲁楠^1,2, 张宇硕^1,3

1. 国家基础地理信息中心, 北京 100830;
2. 西南交通大学地球科学与环境工程学院, 四川成都 611756;
3. 北京师范大学地理学与遥感科学学院, 北京 100875

收稿日期:2014-12-23 修回日期:2015-08-03 出版日期:2015-11-20 发布日期:2015-11-25
作者简介:陈军(1956-),教授,国际摄影测量与遥感学会主席,研究方向为基础地理信息建模、更新与服务。E-mail:chenjun@nsdi.gov.cn
基金资助:
国家自然科学基金重点项目(41231172);测绘地理信息公益性行业科技专项(201512028)

Spatial Distribution and Ten Years Change of Global Built-up Areas Derived from GlobeLand30

CHEN Jun¹, CHEN Lijun¹, LI Ran¹, LIAO Anping¹, PENG Shu¹, LU Nan^1,2, ZHANG Yushuo^1,3

1. National Geomatics Center of China, Beijing 100830, China;
2. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
3. School of Geography, Beijing Normal University, Beijing 100875, ChinaAbstract

Received:2014-12-23 Revised:2015-08-03 Online:2015-11-20 Published:2015-11-25
Supported by:
The National Natural Science Foundation of China(No.41231172);Surveying Mapping and Geoinformation Public Science and Technology Projects(No.201512028)

摘要/Abstract

摘要： 城乡建设用地分布与变化是人类活动的直观标志和生态足迹,在环境变化研究、地理国(世)情监测和可持续发展研究等方面发挥着重要作用。以往人们对一些城市、区域或国家的城乡建设用地分布与变化进行过较为深入系统的研究,但在全球尺度上,这方面研究尚为空白。本文是利用我国自主研制的世界上首套30 m空间分辨率全球地表覆盖数据集GlobeLand30的人造地表数据层,首次开展了全球城乡建设用地的空间分布及变化的统计分析。它采用用地面积、构成占比和增量占比等主要指标,统计全球范围内城乡建设用地的空间分布及2000年至2010年10年间的变化,重点分析了2010年全球、各大洲及主要国家的城乡建设用地分布现状与地域差异,2000年至2010年全球、主要国家的建设用地变化以及其主要土地来源。研究结果表明, 2010年全球城乡建设用地总面积为118.75×10⁴km²,占全球陆表面积的0.88%; 2000年至2010年全球城乡建设用地面积增加了5.74×10⁴km²,变化率为5.08%,其中,中国和美国新增城乡建设用地约占全球的一半;新增城乡建设用地占用最多的是耕地,占总量的50.26%。这些为研究全球陆表人类活动的空间分布特征与变化趋势提供了翔实的信息和知识。

关键词: GlobeLand30, 全球地表覆盖, 城乡建设用地, 空间格局, 时空变化, 统计分析

Abstract: As an important anthropogenic indicator and human ecological foot print,built-up areas and its change is an essential information for environmental change analysis, geo-conditional monitoring and sustainable development. In the past, built-up areas and its change studies were mainly focused on a city, regional or nation scale, and it has not been possible to conduct a global built-up areas and its change analysis yet. This paper presented the methodology and results of the first global analysis of built-up areas and its ten year's change(2000-2010) using GlobeLand30, China's 30 meter resolution global land cover data sets-. Built-up areas, change rate and increase proportion were the major statistical variables used for the statistical analysis. The result shows that the total area of the global built-up areas is 1.1875 million km², covering 0.88% of the total area of the global land surface; the area of global built-up areas increased 57400km² with the variation rate of 5.08% from 2000 to 2010;and China and United Sates are the top two countries having the largest increased built-up areas, i.e., accounting over 50% of that of the global total; 50.26% of the total increased built-up areas comes from the arable land. These results provide reliable spatio-temporal information to the study of human domination of Earth's ecosystems and global monitoring.

Key words: GlobeLand30, global land cover, built-up areas, spatial distribution, temporal change, statistical analysis

中图分类号:

P237

陈军, 陈利军, 李然, 廖安平, 彭舒, 鲁楠, 张宇硕. 基于GlobeLand30的全球城乡建设用地空间分布与变化统计分析[J]. 测绘学报, 2015, 44(11): 1181-1188.

CHEN Jun, CHEN Lijun, LI Ran, LIAO Anping, PENG Shu, LU Nan, ZHANG Yushuo. Spatial Distribution and Ten Years Change of Global Built-up Areas Derived from GlobeLand30[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(11): 1181-1188.

参考文献

[1] KAREIVA P, WATTS S, MCDONALD R, et al. Domesticated Nature:Shaping Landscapes and Ecosystems for Human Welfare[J]. Science, 2007, 316(5833):1866-1869.
[2] ELVIDGE C D, TUTTLE B T, SUTTON P C, et al. Global Distribution and Density of Constructed Impervious Surfaces[J]. Sensors, 2007, 7(9):1962-1979.
[3] VITOUSEK P M, MOONEY H A, LUBCHENCO J, et al. Human Domination of Earth's Ecosystems[J]. Science, 1997, 277(5325):494-499.
[4] FOLEY J A, DEFRIES R, ASNER G P, et al. Global Consequences of Land Use[J]. Science, 2005, 309(5734):570-574.
[5] SETO K C, GüNERALP B, HUTYRA L R. Global Forecasts of Urban Expansion to 2030 and Direct Impacts on Biodiversity and Carbon Pools[J]. Proceedings of the National Academy of Sciences of the United States of America, 2012, 109(40):16083-16088.
[6] SUTTON P C, ANDERSON S J, ELVIDGE C D, et al. Paving the Planet:Impervious Surface as Proxy Measure of the Human Ecological Footprint[J]. Progress in Physical Geography, 2009, 33(4):510-527.
[7] VERBURG P H, NEUMANN K, NOL L. Challenges in Using Land Use and Land cover Data for Global Change Studies[J]. Global Change Biology, 2011, 17(2):974-989.
[8] HECHT A D, FIKSEL J, FULTON S C, et al. Creating the Future We Want[J]. Sustainability:Science, Practice, & Policy, 2012, 8(2):62-75.
[9] PEREIRA H M, FERRIER S, WALTERS M, et al. Essential Biodiversity Variables[J]. Science, 2013, 339(6117):277-278.
[10] HOYMANN J. Quantifying Demand for Built-up Area——a Comparison of Approaches and Application to Regions with Stagnating Population[J]. Journal of Land Use Science, 2012, 7(1):67-87.
[11] XU Guanhua, GE Quansheng, GONG Peng, et al. Societal Response to Challenges of Global Change and Human Sustainable Development[J]. Chinese Science Bulletin, 2013, 58(25):3161-3168.(徐冠华, 葛全胜, 宫鹏, 等. 全球变化和人类可持续发展:挑战与对策[J]. 科学通报, 2013, 58(21):2100-2106.)
[12] CHEN Junyong. Study Notes on Geographic National Condition Monitoring[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(5):633-635.(陈俊勇. 地理国情监测的学习札记[J]. 测绘学报, 2012, 41(5):633-635.)
[13] LI Deren, ZHANG Liangpei, XIA Guisong. Automatic Analysis and Mining of Remote Sensing Big Data[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(12):1211-1216.(李德仁, 张良培, 夏桂松. 遥感大数据自动分析与数据挖掘[J]. 测绘学报, 2014, 43(12):1211-1216.)
[14] WANG Jiayao, CHENG Yi, 2015. Discussions on the Attributes of Cartography and the Value of Map[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(3):237-241.(王家耀, 成毅. 论地图学的属性和地图的价值[J]. 测绘学报, 2015, 44(3):237-241.)
[15] YANG Kai, CHEN Jun, GUAN Zequn, et al. Urban Change Mapping Using Multi-Temporal Remote Sensing Imagery[J]. Economic Geography, 1986, 6(3):191-195.(杨凯, 陈军, 关泽群, 等. 用多时域遥感影象测定城市演变的方法[J]. 经济地理, 1986, 6(3):191-195.)
[16] CHEN Jun, LU Huiwen, GUAN Zequn, et al. Urban Change Analysis Using Sequential Aerial Photographs[J]. Remote Sensing of Environment-China, 1987, 2(4):265-274.(陈军, 陆惠文, 关泽群, 等. 利用多时相航空影像分析随州城市变迁状况[J]. 环境遥感, 1987, 2(4):265-274.
[17] WENG Qihao. Remote Sensing of Impervious Surfaces in the Urban Areas:Requirements, Methods, and Trends[J]. Remote Sensing of Environment, 2012, 117:34-49.
[18] HOMER C, HUANG Chengquan, YANG Limin, et al. Development of a 2001 National Land-Cover Database for the United States[J]. Photogrammetric Engineering & Remote Sensing, 2004, 70(7):829-840.
[19] XIAN G, HOMER C. Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 Using Landsat Imagery Change Detection Methods[J]. Remote Sensing of Environment, 2010, 114(8):1676-1686.
[20] HUANG Jikun, ZHU Lifen, DENG Xiangzheng. Regional Differences and Determinants of Built-up Area Expansion in China[J]. Science in China Series D:Earth Sciences, 2007, 50(12):1835-1843.
[21] KUANG Wenhui, LIU Jiyuan, ZHANG Zengxiang, et al. Spatiotemporal Dynamics of Impervious Surface Areas across China during the Early 21st Century[J]. Chinese Science Bulletin, 2013, 58(14):1691-1701.(匡文慧, 刘纪远, 张增祥, 等. 21 世纪初中国人工建设不透水地表遥感监测与时空分析[J]. 科学通报, 2013, 58(5):465-478.)
[22] LIU Jiyuan, KUANG Wenhui, ZHANG Zengxiang, el al. Spatiotemporal Characteristics, Patterns and Causes of Land Use Changes in China since the Late 1980s[J]. Acta Geographica Sinica, 2014, 69(1):3-14.(刘纪远, 匡文慧, 张增祥, 等. 20世纪80年代末以来中国土地利用变化的基本特征与空间格局[J]. 地理学报, 2014, 69(1):3-14.)
[23] SCHNEIDER A, FRIEDL M A, POTERE D. A New Map of Global Urban Extent from MODIS Satellite Data[J]. Environmental Research Letters, 2009, 4(4):044003.
[24] ANGEL S, PARENT J, CIVCO D L, et al. The Dimensions of Global Urban Expansion:Estimates and Projections for All Countries, 2000-2050[J]. Progress in Planning, 2011, 75(2):53-107.
[25] POTERE D, SCHNEIDER A. A Critical Look at Representations of Urban Areas in Global Maps[J]. GeoJournal, 2007, 69(1-2):55-80.
[26] CHEN Jun, BAN Yifang, LI Songnian. China:Open Access to Earth Land-cover Map[J]. Nature, 2014, 514(7523):434-434.
[27] CHEN Jun, CHEN Jin, LIAO Anping, et al., Concepts and Key Techniques for 30m Global Land Cover Mapping[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(6):551-557(陈军, 陈晋, 廖安平, 等. 全球 30m地表覆盖遥感制图的总体技术[J]. 测绘学报, 2014, 43(6):551-557.)
[28] CHEN Jun, CHEN Jin, LIAO Anping, et al. Global Land Cover Mapping at 30m Resolution:A POK-based Operational Approach[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 103:7-27.
[29] BROVELLI M A, MOLINARI M E, HUSSEIN E, et al. The First Comprehensive Accuracy Assessment of GlobeLand30 at a National Level:Methodology and Results[J]. Remote Sensing, 2015, 7(4):4191-4212.
[30] CAO Xin, CHEN Jun, CHEN Lijun, et al. Preliminary Analysis of Spatiotemporal Pattern of Global Land Surface Water[J]. Science China:Earth Sciences, 2014, 57(10):2330-2339.
[31] GALLEGO F J. Remote Sensing and Land Cover Area Estimation[J]. International Journal of Remote Sensing, 2004, 25(15):3019-3047.

基于GlobeLand30的全球城乡建设用地空间分布与变化统计分析

Spatial Distribution and Ten Years Change of Global Built-up Areas Derived from GlobeLand30

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