Modeling In-Use Steel Stock in China's Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights
暂无分享,去创建一个
Hanwei Liang | Liang Dong | Yasunari Matsuno | Hiroki Tanikawa | H. Tanikawa | Liang Dong | Hanwei Liang | Yasunari Matsuno
[1] Mikhail Zhizhin,et al. A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data , 2009 .
[2] Tao Wang,et al. Moving toward the circular economy: the role of stocks in the Chinese steel cycle. , 2012, Environmental science & technology.
[3] David M. Drukker,et al. Testing for Serial Correlation in Linear Panel-data Models , 2003 .
[4] Stefan Pauliuk,et al. The roles of energy and material efficiency in meeting steel industry CO2 targets. , 2013, Environmental science & technology.
[5] Ryuichi Kitamura,et al. Panel Analysis in Transportation Planning: An Overview , 1990 .
[6] K. Seto,et al. Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data , 2011 .
[7] J. Hausman. Specification tests in econometrics , 1978 .
[8] Gjalt Huppes,et al. Iron and steel in Chinese residential buildings: A dynamic analysis , 2010 .
[9] Tao Wang,et al. Exploring the engine of anthropogenic iron cycles , 2006, Proceedings of the National Academy of Sciences.
[10] Qian Zhang,et al. Can Night-Time Light Data Identify Typologies of Urbanization? A Global Assessment of Successes and Failures , 2013, Remote. Sens..
[11] Yasunari Matsuno,et al. Estimating in-use steel stock of civil engineering and building in China by nighttime light image , 2011 .
[12] Sushil Kr. Haldar,et al. Economic Growth in South Asia , 2015 .
[13] Zhifeng Liu,et al. Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008 , 2012 .
[14] John E. Fernández,et al. Resource Consumption of New Urban Construction in China , 2007 .
[15] T. Prior,et al. Availability, addiction and alternatives: Three criteria for assessing the impact of peak minerals on society , 2011 .
[16] Christopher Doll,et al. Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery , 2010 .
[17] Feng Shi,et al. Spatialization of electricity consumption of China using saturation-corrected DMSP-OLS data , 2014, Int. J. Appl. Earth Obs. Geoinformation.
[18] Robert Eisner,et al. Infrastructure and regional economic performance: comment , 1991 .
[19] T. Pei,et al. Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities , 2012 .
[20] Yoshihiro Adachi,et al. Caluculation of the in-use stock of materials in urban with nocturnal light image , 2009, 2009 Joint Urban Remote Sensing Event.
[21] Zheng Wang,et al. Exploring factors affecting the relationship between light consumption and GDP based on DMSP/OLS nighttime satellite imagery , 2013 .
[22] Annie Corbin,et al. Country specific effect in the Feldstein-Horioka paradox: a panel data analysis , 2001 .
[23] P. Sutton,et al. Shedding Light on the Global Distribution of Economic Activity , 2010 .
[24] William Warntz,et al. PHYSICS OF POPULATION DISTRIBUTION , 1958 .
[25] Kelly Sims Gallagher,et al. Catalyzing strategic transformation to a low-carbon economy: A CCS roadmap for China , 2010 .
[26] K. Moffett,et al. Remote Sens , 2015 .
[27] Ji Han,et al. Analysis of Material Stock Accumulated in Residential Building & Transport Infrastructures and its Regional Disparity in China , 2012 .
[28] Ranjan Kumar Dash,et al. Economic growth in South Asia: Role of infrastructure , 2012 .
[29] C. Elvidge,et al. Spatial scaling of stable night lights , 2011 .
[30] Jason N. Rauch,et al. Global mapping of Al, Cu, Fe, and Zn in-use stocks and in-ground resources , 2009, Proceedings of the National Academy of Sciences.
[31] S. Démurger. Infrastructure Development and Economic Growth: An Explanation for Regional Disparities in China? , 2001 .
[32] Jianing Mi,et al. The growth impact of transport infrastructure investment: A regional analysis for China (1978–2008) , 2012 .
[33] Yoshihiro Adachi,et al. Estimation of Steel Stock in Building and Civil Construction by Satellite Images , 2011 .
[34] Ji Han,et al. Analysis of material stock accumulation in China’s infrastructure and its regional disparity , 2013, Sustainability Science.
[35] Chuanguo Zhang,et al. Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China , 2012 .
[36] P. Sutton,et al. SPECIAL ISSUE: The Dynamics and Value of Ecosystem Services: Integrating Economic and Ecological Perspectives Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation , 2002 .
[37] Douglas Holtz-Eakin,et al. Infrastructure in a Structural Model of Economic Growth , 1994 .
[38] H. Tanikawa,et al. Urban stock over time: spatial material stock analysis using 4d-GIS , 2009 .
[39] T. Graedel,et al. Metal stocks and sustainability , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[40] Wei Yang,et al. Simulation of the evolution of the Chinese building and infrastructure stock , 2008 .
[41] Masanao Hara,et al. A Saturated Light Correction Method for DMSP/OLS Nighttime Satellite Imagery , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[42] Jeffrey M. Woodbridge. Econometric Analysis of Cross Section and Panel Data , 2002 .
[43] T. Kretschmer,et al. Broadband Infrastructure and Economic Growth , 2009, SSRN Electronic Journal.
[44] Yasunari Matsuno,et al. Exploring and estimating in-use steel stocks in civil engineering and buildings from night-time lights , 2013 .
[45] K. Seto,et al. The Vegetation Adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity , 2013 .
[46] Waldo R. Tobler,et al. Satellite confirmation of settlement size coefficient , 1968 .
[47] D. Roberts,et al. Census from Heaven: An estimate of the global human population using night-time satellite imagery , 2001 .
[48] Naizhuo Zhao,et al. Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery , 2012 .
[49] Stefan Pauliuk,et al. Steel all over the world: Estimating in-use stocks of iron for 200 countries , 2013 .
[50] Yasunari Matsuno,et al. Estimation of Steel Use in Buildings by Night Time Light Image and GIS , 2012 .
[51] Joanna Tyrowicz,et al. Intra-provincial inequalities and economic growth in China , 2010 .
[52] Michiel Kleerebezem,et al. High temporal and inter-individual variation detected in the human ileal microbiota. , 2010, Environmental microbiology.
[53] P. Sutton,et al. Radiance Calibration of DMSP-OLS Low-Light Imaging Data of Human Settlements , 1999 .
[54] Scott Rozelle,et al. Providing quality infrastructure in rural villages: The case of rural roads in China , 2013 .
[55] Daniel B. Müller,et al. Dynamics of urban and rural housing stocks in China , 2010 .
[56] J. Henderson,et al. Measuring Economic Growth from Outer Space , 2009, The American economic review.
[57] Jianping Wu,et al. Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data , 2014, Remote. Sens..
[58] Tao Huang,et al. Toward a Low Carbon–Dematerialization Society , 2012 .
[59] Yasunari Matsuno,et al. Estimation of in-use steel stock for civil engineering and building using nighttime light images , 2013 .
[60] C. Fan. Interprovincial Migration, Population Redistribution, and Regional Development in China: 1990 and 2000 Census Comparisons , 2005 .
[61] I. Daigo,et al. Outlook of the world steel cycle based on the stock and flow dynamics. , 2010, Environmental science & technology.
[62] Tsuyoshi Fujita,et al. Environmental and economic gains of industrial symbiosis for Chinese iron/steel industry: Kawasaki's experience and practice in Liuzhou and Jinan , 2013 .