Mapping China's Ghost Cities through the Combination of Nighttime Satellite Data and Daytime Satellite Data
暂无分享,去创建一个
Xinyue Ye | Chuanrong Zhang | Guifang Liu | Heli Lu | Changhong Miao | Changhong Miao | Xinyue Ye | Chuanrong Zhang | X. Ye | C. Miao | Heli Lu | Guifang Liu
[1] B. Cohen. Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability , 2006 .
[2] Y. Murayama,et al. Classification and change detection of built-up lands from Landsat-7 ETM+ and Landsat-8 OLI/TIRS imageries: A comparative assessment of various spectral indices , 2015 .
[3] Christian Sorace,et al. China’s Phantom Urbanisation and the Pathology of Ghost Cities , 2015 .
[4] A. Strahler,et al. Monitoring vegetation phenology using MODIS , 2003 .
[5] M. Bleaney,et al. Economic growth and income inequality , 2002 .
[6] Chaolin Gu,et al. Planning Beijing: socialist city, transitional city, and global city , 2015 .
[7] Ying Long,et al. Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data , 2017 .
[8] C. Elvidge,et al. Mapping City Lights With Nighttime Data from the DMSP Operational Linescan System , 1997 .
[9] P. Sen. Estimates of the Regression Coefficient Based on Kendall's Tau , 1968 .
[10] S. Running,et al. Assessing the impact of urban land development on net primary productivity in the southeastern United States , 2003 .
[11] Ke Wang,et al. Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data , 2017 .
[12] Chao Zeng,et al. Recovering missing pixels for Landsat ETM + SLC-off imagery using multi-temporal regression analysis and a regularization method , 2013 .
[13] Guifang Liu,et al. Spatial effects of carbon dioxide emissions from residential energy consumption: A county-level study using enhanced nocturnal lighting , 2014 .
[14] Jingsong Deng,et al. “Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta , 2017 .
[15] Jinliang Huang,et al. Monitoring Trends in Light Pollution in China Based on Nighttime Satellite Imagery , 2014, Remote. Sens..
[16] H. Theil. A Rank-Invariant Method of Linear and Polynomial Regression Analysis , 1992 .
[17] Mikhail Zhizhin,et al. A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data , 2009 .
[18] Michael A. Wulder,et al. Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm , 2015 .
[19] J. Wallace,et al. Seeing ghosts: parsing China’s “ghost city” controversy , 2017 .
[20] Christopher Small,et al. Night on Earth: Mapping decadal changes of anthropogenic night light in Asia , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[21] B. Markham,et al. Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .
[22] S. V. Stehman,et al. Comparison of systematic and random sampling for estimating the accuracy of maps generated from remotely sensed data , 1992 .
[23] Bing Zhang,et al. Institutionalized Governance Processes: Comparing Environmental Problem Solving in China and the United States , 2015 .
[24] C. Elvidge,et al. National Trends in Satellite-Observed Lighting: 1992–2012 , 2011 .
[25] C. Woodcock,et al. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .
[26] Dengsheng Lu,et al. Regional mapping of human settlements in southeastern China with multisensor remotely sensed data , 2008 .
[27] Xiang Zhang,et al. Analysis of urbanization dynamics in mainland China using pixel-based night-time light trajectories from 1992 to 2013 , 2017, Remote Sensing of Night-time Light.
[28] Guifang Liu,et al. Recent Observations of Human-induced Asymmetric Effects on Climate in Very High-Altitude Area , 2014, PloS one.
[29] Hong Yu. China's “Ghost Cities” , 2014 .
[30] Damien Sulla-Menashe,et al. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .
[31] Jennifer Pontius,et al. Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty , 2014 .
[32] J. Corte-Real,et al. Rainfall and river flow trends using Mann–Kendall and Sen’s slope estimator statistical tests in the Cobres River basin , 2015, Natural Hazards.
[33] M. Canty,et al. Automatic radiometric normalization of multitemporal satellite imagery , 2004 .
[34] C. Cartier,et al. Territorial Urbanization and the Party-State in China , 2015 .
[35] Jay Gao,et al. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery , 2003 .
[36] A. Savitzky,et al. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .