Modeling In-Use Steel Stock in China’s Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Modeling In-Use Steel Stock in China’s Buildings and Civil Engineering Infrastructure Using Time-Series of DMSP/OLS Nighttime Lights
Authors
Keywords
-
Journal
Remote Sensing
Volume 6, Issue 6, Pages 4780-4800
Publisher
MDPI AG
Online
2014-05-27
DOI
10.3390/rs6064780
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Spatialization of electricity consumption of China using saturation-corrected DMSP-OLS data
- (2014) Xin Cao et al. International Journal of Applied Earth Observation and Geoinformation
- 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) Kaifang Shi et al. Remote Sensing
- The Roles of Energy and Material Efficiency in Meeting Steel Industry CO2 Targets
- (2013) Rachel L. Milford et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Environmental and economic gains of industrial symbiosis for Chinese iron/steel industry: Kawasaki's experience and practice in Liuzhou and Jinan
- (2013) Liang Dong et al. JOURNAL OF CLEANER PRODUCTION
- Exploring factors affecting the relationship between light consumption and GDP based on DMSP/OLS nighttime satellite imagery
- (2013) Jiansheng Wu et al. REMOTE SENSING OF ENVIRONMENT
- Estimation of in-use steel stock for civil engineering and building using nighttime light images
- (2013) Ryoma Hattori et al. RESOURCES CONSERVATION AND RECYCLING
- Can Night-Time Light Data Identify Typologies of Urbanization? A Global Assessment of Successes and Failures
- (2013) Qian Zhang et al. Remote Sensing
- Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China
- (2012) Chuanguo Zhang et al. ENERGY POLICY
- Exploring and estimating in-use steel stocks in civil engineering and buildings from night-time lights
- (2012) Feng-Chi Hsu et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery
- (2012) Naizhuo Zhao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Toward a Low Carbon-Dematerialization Society
- (2012) Feng Shi et al. JOURNAL OF INDUSTRIAL ECOLOGY
- Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008
- (2012) Zhifeng Liu et al. LANDSCAPE AND URBAN PLANNING
- Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities
- (2012) Ting Ma et al. REMOTE SENSING OF ENVIRONMENT
- The Vegetation Adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity
- (2012) Qingling Zhang et al. REMOTE SENSING OF ENVIRONMENT
- Steel all over the world: Estimating in-use stocks of iron for 200 countries
- (2012) Stefan Pauliuk et al. RESOURCES CONSERVATION AND RECYCLING
- Analysis of material stock accumulation in China’s infrastructure and its regional disparity
- (2012) Ji Han et al. Sustainability Science
- Estimation of Steel Use in Buildings by Night Time Light Image and GIS
- (2012) Genki Taguchi et al. TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN
- Moving Toward the Circular Economy: The Role of Stocks in the Chinese Steel Cycle
- (2011) Stefan Pauliuk et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- A Saturated Light Correction Method for DMSP/OLS Nighttime Satellite Imagery
- (2011) Husi Letu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Estimation of Steel Stock in Building and Civil Construction by Satellite Images
- (2011) Feng-Chi Hsu et al. ISIJ INTERNATIONAL
- Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data
- (2011) Qingling Zhang et al. REMOTE SENSING OF ENVIRONMENT
- Dynamics of urban and rural housing stocks in China
- (2010) Mingming Hu et al. BUILDING RESEARCH AND INFORMATION
- Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery
- (2010) Christopher N.H. Doll et al. ENERGY POLICY
- High temporal and inter-individual variation detected in the human ileal microbiota
- (2010) Carien C. G. M. Booijink et al. ENVIRONMENTAL MICROBIOLOGY
- Outlook of the World Steel Cycle Based on the Stock and Flow Dynamics
- (2010) Hiroki Hatayama et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Availability, addiction and alternatives: three criteria for assessing the impact of peak minerals on society
- (2010) Leah Mason et al. JOURNAL OF CLEANER PRODUCTION
- Spatial scaling of stable night lights
- (2010) Christopher Small et al. REMOTE SENSING OF ENVIRONMENT
- Urban stock over time: spatial material stock analysis using 4d-GIS
- (2009) Hiroki Tanikawa et al. BUILDING RESEARCH AND INFORMATION
- A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data
- (2009) Christopher Elvidge et al. Energies
- Catalyzing strategic transformation to a low-carbon economy: A CCS roadmap for China
- (2009) Hengwei Liu et al. ENERGY POLICY
- Global mapping of Al, Cu, Fe, and Zn in-use stocks and in-ground resources
- (2009) Jason N. Rauch PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Iron and steel in Chinese residential buildings: A dynamic analysis
- (2009) Mingming Hu et al. RESOURCES CONSERVATION AND RECYCLING
- Simulation of the evolution of the Chinese building and infrastructure stock
- (2007) Wei Yang et al. BUILDING RESEARCH AND INFORMATION
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started