Author Affiliations
1.河北师范大学资源与环境科学学院,石家庄 0500241School of Resources and Environment Science, Hebei Normal University, Shijiazhuang 050024, China2.河北省环境演变与生态建设实验室,石家庄 0500242Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China3.河北省环境变化遥感识别技术创新中心,石家庄 0500243Hebei Innovation Center of Remote Sensing Technology for Environmental Change, Shijiazhuang 050024, Chinashow less
Fig. 1. The power function relation between DMSP-OLS and average DN values in corresponding region of NPP-VIIRS for 2012, 2013
Fig. 2. Spatial pattern of DMSP-OLS and NPP-VIIRS simulated data for part of the Beijing-Tianjin-Hebei, part of the Yangtze River Delta, part of the Pearl River Delta in 2012, 2013
Fig. 3. Corrected and simulated nighttime light images in three first-class urban agglomerations from 1992 to 2017
Fig. 4. Urban built-up area extraction results in three first-class urban agglomerations from 1992 to 2017
Fig. 5. Changes in urban spatial expansion scale of three first-class urban agglomerations from 1992 to 2017
Fig. 6. Changes in urban spatial expansion intensity of three first-class urban agglomerations from 1992 to 2017
Fig. 7. Gravity center shift of urban spatial expansion in three first-class urban agglomerations from 1992 to 2017
Fig. 8. Hotspot analysis of urban spatial expansion in three first-class urban agglomerations from 1992 to 2017
数据集 | a | b | c | R |
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F16→F15 | -0.001 447 | 1.091 | 0.913 | 0.9309 | F15→F14 | -0.003 202 | 1.093 | 1.766 | 0.8646 | F14→F12 | 0.003 413 | 0.628 | 2.717 | 0.9564 | F12→F10 | 0.001 906 | 0.832 | 0.886 | 0.9171 | F16→F18 | 0.004 262 | 0.673 | 0.766 | 0.8955 |
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Table 1. Regression model coefficients for images mutual correction based on sensors
年份 | 校正前 | | 校正后 |
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r | RMSE | r | RMSE |
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2012 | 0.66 | 18.8 | | 0.88 | 5.3 | 2013 | 0.67 | 18.1 | | 0.85 | 6.1 |
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Table 2. Correlation analysis between DMSP-OLS and NPP-VIIRS
年份 | 京津冀城市群 | | 长三角城市群 | | 珠三角城市群 |
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统计 | 全部 | 差值 | 仅市 | 差值 | 统计 | 全部 | 差值 | 仅市 | 差值 | 统计 | 全部 | 差值 | 仅市 | 差值 |
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1992 | 1389 | 1402 | 0.94 | 1390 | -0.86 | | 1398 | 1427 | 2.07 | 1405 | -1.54 | | 464 | 466 | 0.43 | 466 | 0.00 | 1995 | 1452 | 1464 | 0.83 | 1452 | -0.82 | | 1576 | 1643 | 4.25 | 1613 | -1.83 | | 543 | 617 | 13.63 | 617 | 0.00 | 2000 | 1582 | 1560 | -1.39 | 1537 | -1.47 | | 2166 | 2174 | 0.37 | 2147 | -1.24 | | 1073 | 1086 | 1.21 | 1085 | -0.09 | 2005 | 3032 | 3046 | 0.46 | 2956 | -2.95 | | 4959 | 5008 | 0.99 | 4859 | -2.98 | | 3111 | 3119 | 0.26 | 3118 | -0.03 | 2010 | 3564 | 3770 | 5.78 | 3624 | -3.87 | | 6897 | 7225 | 4.76 | 6957 | -3.71 | | 4236 | 4532 | 6.99 | 4502 | -0.66 | 2015 | 4231 | 4254 | 0.54 | 4039 | -5.05 | | 8096 | 8329 | 2.88 | 8006 | -3.88 | | 4809 | 5243 | 9.02 | 5238 | -0.10 | 2017 | 4653 | 4765 | 2.41 | 4438 | -6.86 | | 8777 | 9560 | 8.92 | 9167 | -4.11 | | 5068 | 5514 | 8.80 | 5488 | -0.47 | 合计 | 19 903 | 20 261 | 1.80 | 19 436 | -4.07 | | 33 869 | 35 366 | 4.42 | 34154 | -3.43 | | 19304 | 20 577 | 6.59 | 20 514 | -0.31 |
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Table 3. Urban scale and extraction error from integrated nighttime light data (km2,km2,%,km2,%)