China's high-quality nighttime light data is a database jointly developed by CnOpenData and Jilin High-resolution Remote Sensing Application Research Institute Co., Ltd. It is based on multi-source nighttime light satellite remote sensing images. The data is denoised, corrected, analyzed and counted by scientific means. It is updated annually and monthly, and the three-level administrative divisions of provinces, cities and counties are used as statistical units to produce high-quality nighttime light data. The data includes two forms: Excel statistical tables and Shp vector files, including: + total brightness value, total number of pixels, average brightness value, number of luminous pixels, average value of luminous pixels, and proportion of luminous pixels.
High-quality nighttime light data can provide valuable information about human activities and urban development, and has important significance and role in urban planning, economic research and disaster monitoring:
- Urban planning and management: Data can provide the spatial distribution and expansion of cities, helping urban planners understand the development of cities and optimize urban layout and facility construction.
- Economic research: Data can be used to assess the level of economic activity and economic growth trends. By comparing nighttime lights in different regions, we can understand the differences in economic activities in different regions and provide decision makers with reference to resource allocation and economic policy making.
- Environmental monitoring: Data can be used to monitor environmental changes and urban pollution. By observing nighttime lights in cities, environmental indicators such as energy use, air quality and population density can be evaluated.
- Disaster monitoring and response: Data can be used to monitor and assess the scope and extent of natural disasters such as earthquakes, floods and fires. This helps to take timely response measures and carry out disaster relief work.
- Social science research: Data can be used to study urban population distribution, mobility, and social activities. By analyzing nighttime light data, we can understand the spatial and temporal patterns of human activities and reveal the social structure and cultural characteristics of the city.
Time interval
April 2012-December 2023 (data spatial resolution 500 meters)
Data products
Data description
Field display
Sample data
China night light data - provincial level
| China night light data - provincial level | China night light data - municipal level | China night light data - district and county level |
|---|---|---|
| province | PAC | pro_code |
| type | NAME | province |
| code | province | city_code |
| SumDN | Pcode | city |
| Ccode | type | |
| MeanDN | city | SumDN |
| LightCell | type | SumCell |
| LightMean DN | SumDN | MeanDN |
| Percentage | SumCell | LightCell |
| tif | MeanDN | LightMeanDN |
| LightCell | Percentage | |
| LightMeanDN | tif | |
| Percentage | ||
| tif |
| province | type | code | SumDN | SumCell | MeanDN | LightCell | LightMeanDN | Percentage | tif |
|---|---|---|---|---|---|---|---|---|---|
| Beijing | Municipality | 110000 | 517954.0799 | 99920 | 5.1836 87749 | 5736 9 | 9.028466243 | 57.41% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Tianjin City | Municipality | 120000 | 460973.6699 | 71711 | 6 .42821422 | 60797 | 7.582177902 | 84.78% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Hebei Province | Province | 130000 | 1200412.102 | 1135419 | 1.057241514 | 469869 | 2.554780379 | 41.38% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Shanxi Province | Province | 140000 | 709973.3297 | 921177 | 0.770724117 | 264293 | 2.686311517 | 28.69% | SVDNB_npp_20200901 -20200930_outed_Kriging.tif |
| Inner Mongolia Autonomous Region | Autonomous Region | 150000 | 636916.8854 | 7434962 | 0.085665116 | 343396 | 1.854759186 | 4.62 % | SVDNB_npp_20200901-20200930_outed_Kriging.t if |
| Liaoning Province | Province | 210000 | 840829.5401 | 908900 | 0.925106767 | 285921 | 2.94077 5739 | 31.46% | SVDNB_npp_20200901- 20200930_outed_Kriging.tif |
| Jilin Province | Province | 220000 | 434503.69 | 1228053 | 0.353815096 | 1901 55 | 2.284997449 | 15.48% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Heilongjiang Province | Province | 230000 | 442165.96 | 3137278 | 0.1 40939362 | 266569 | 1.6587298 6 | 8.50% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Shanghai City | Municipality | 310000 | 550903.7481 | 12.53763651 | 38 057 | 14.47575342 | 86.61% | SVDNB_npp_20200901-20200930_outed_Kriging.tif | |
| Jiangsu Province | Province | 320000 | 2262718.505 | 570038 | 3.96941696 | 360518 | 6.276298285 | 63.24% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Zhejiang Province | 330000 | 898112.56 | 561461 | 1.599599188 | 228839 | 3.924648159 | 40.76% | SVDNB_npp_20200901-20200930_outed_Kriging.tif | |
| Anhui Province | Province | 340000< /td> | 820040.29 | 769059 | 1.06629048 | 209746 | 3.909682616 | 27.27% | SVDNB_npp_20200901-202 00930_outed_Kriging.tif |
| Fujian Province | 350000 | 711346.6099 | 635750 | 1.118909335 | 180720 | 3.936180887 | 28.43% | ||
| Jiangxi Province | Province | 360000 | 204972.5899 | 879356 | 0.23309398 | 108509 | 1.888991603 | 12.34% | SVDNB_npp_20200901-20200930_o uted_Kriging.tif |
| Shandong Province | Province | 370000 | 1741079.093 | 898037 | 1.938760978 | 552898 | 61.57% | SVDNB _npp_20200901-20200930_outed_Kriging.tif | |
| Henan Province | Province | 410000 | 1157250.99 | 930028 | 1.24431844 | 375734 | 3.079974103 | 40.40% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Hubei Province | Province | 420000 | 363310.2099 | 101132 0 | 0.359243573 | 132868 | 2.734369524 | 13.14% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Hunan Province | Province | 430000 | 18 0455.1699 | 1115757 | 0.1617 33397 | 125272 | 1.440506816 | 11.23% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Guangdong Province | Province | 440000 | 1897700.467 | 2.096744414 | 370910 | 5.116336758 | 40.98% | SVDNB_npp_20200901-20200930_outed_Kriging.tif | |
| Guangxi Zhuang Autonomous Region | Autonomous Region | 45000 0 | 365810.1598 | 1207121 | 0.303043489 | 155007 | 2.359958969 | 12.84% | SVDNB_npp_202009 01-20200930_outed_Kriging.tif |
| Hainan Province< /td> | Province | 460000 | 181955.33 | 168163 | 1.082017626 | 60037 | 3.030719889 | 35.70% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Chongqing City | Municipality | 500000 | 223724.29 | 443922 | 0.503972072 | 56114 | 3.986960296 | 12.64% | SVDNB_npp_20200901-2020093 0_outed_Kriging.tif |
| Sichuan Province | Province | 510000 | 833212.8331 | 2635604 | 0.316137338 | 162494 | 5.127652917 | 6.17% | SV DNB_npp_20200901-20200930_outed_Kriging.tif |
| Guizhou Province | Province | 520000 | 144226.8417 | 920930 | 0.156609 994 | 100252 | 1.438643036 | 10.89% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Yunnan Province | Province | 530000 | 328984.5998 | 1974419 | 0.166623498 | 20313 4 | 1.619544733 | 10.29% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Tibet Autonomous Region | Autonomous Region | 540000 | 74873.57992 | 6576926 | 43189 | 1.733626153 | 0.66% | SVDNB_npp_20200901-20200930_outed_Kriging.tif | |
| Shaanxi Province | Province | 610000 | 729586.5397< /td> | 1172449 | 0.622275715 | 237342 | 3.073988336 | 20.24% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Gansu Province | Province | 62 0000 | 332751.0599 | 2512088 | 0.132459954 | 171605 | 1.939052241 | 6.83% | SVDNB_npp_2020 0901-20200930_outed_Kriging.tif |
| Qinghai Province | Province | 630000 | 121963.1599 | 3996534 | 0.030517233 | 60396 | 2.019391349 | 1.51% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Ningxia Hui Autonomous Region | Autonomous Region | 640000 | 219469.41 | 304105 | 0.721689581 | 70315 | 3.121231743 | 23.12% | SVDNB_npp_20200901 -20200930_outed_Kriging.tif |
| Xinjiang Uygur Autonomous Region | Autonomous Region | 650000 | 1025139.426 | 10086580 | 0.101633995 | 405099 | 2.530589871 | 4.02% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Taiwan Province | Province | 710000 | 878449.3201 | 184705 | 4.755958529 | 101653 | 55.04% | SVDNB_npp_20200901-20200930_outed_Kriging.tif | |
| Hong Kong Special Administrative Region | Special Administrative Region | 810000 | 98311.83001 | 5650 | 17.400 3239 | 5286 | 18.59853008 | 93.56% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Macao Special Administrative Region | Special Administrative Region | 820000 | 12827.73004 | 169 | 75.90372807 | 164 | 78.21786612 | 97.04% | SVDNB_npp_20200901-20200930_outed_Kriging.tif |
| Beijing City | Municipality | 110000 | 591637.2897 | 99920 | 5.921109785 | 45992 | 12.86391741 | 46.03% | SVDNB_npp_20210501-20210 531_outed_Kriging.tif |
| Tianjin | Municipality | 120000 | 323008.39 | 71711 | 4.504307429 | 38207 | 8.454167823 | 53.28% | SVD NB_npp_20210501-20210531_outed_Kriging.tif |
| Hebei Province | Province | 130000 | 1148783.42 | 1135419 | 1.011770474 | 378104 | 3.038273649 | SVDNB_npp_20210501-20210531_oute d_Kriging.tif | |
| Shanxi Province | Province | 140000 | 709402.861 | 921177 | 0.770104834 | 245496 | 2.889671771 | 26.65% | SVDNB_np p_20210501-20210531_outed_Kriging.tif |
| Inner Mongolia Autonomous Region | Autonomous Region | 150000 | 123304.8055 | 7434962 | 0.0165844 57 | 52748 | 2.337620488 | 0.71% | SVDNB_npp_20210501-20210531_outed_Kriging.tif |
| Liaoning Province | Province | 210000 | 127040.7699 | 9089 00 | 0.139774199 | 16563 | 7.670154556 | 1.82% | SVDNB_npp_20210501-20210531_outed_Kriging.tif |
| Jilin Province | Province | 220000 | 0 | 1228053 | 0 | 0 | 0.00% | SVDNB_npp_20210501-20210531_outed_Kriging.tif | |
| Heilongjiang Province | Province | 230000 | 0 | 31372 78 | 0 | 0 | 0.00% | SVDNB_npp_20210501-20210531_outed_Kriging.tif | |
| Shanghai City | Municipality | 310000 | 665290.7401 | 439 40 | 15.14089076 | 39345 | 16.90915593 | 89.54% | SVDNB_npp_20210501-20210531_outed_Kriging.tif |
| Jiangsu Province | Province | 320000 | 24 37858.797 | 570038 | 4.27666 0147 | 377038 | 6.46581723 | 66.14% | SVDNB_npp_20210501-20210531_outed_Kriging.tif |
| Zhejiang Province | Province | 330000 | 1912634.335 | 561461 | 3.406531059 | 273144 | 7.002293058 | 48.65% | SVDNB_npp_20210501-20210531_outed_Kriging.tif |
| Anhui Province | Province | 340000 | 998593.32 | 769059 | 1.298461262 | 269252 | 3.70876844 | 35.01% | SVDNB_npp_20210501-2021053 1_outed_Kriging.tif |
| Fujian Province | Province< /td> | 350000 | 952835.1971 | 635750 | 1.498757683 | 195199 | 4.881352861 | 30.70% | SVD NB_npp_20210501-20210531_outed_Kriging.tif |
| Jiangxi Province | Province | 360000 | 462177.37 | 879356 | 0.52558619 | 142948 | 3.233185284 | 16.26% | SVDNB_npp_20210501-20210531_outed_Kr iging.tif |
| Shandong Province | Province | 370000 | 1971022.708 | 898037 | 2.19481236 | 579279 | 3.4 02544728 | 64.51% | SVDNB_npp_202 10501-20210531_outed_Kriging.tif |
| Henan Province | Province | 410000 | 1367610.21 | 930028 | 1.47050434 | 3.42782647 | 42.90% | SVDNB_npp_20210501-20210531_outed_Kriging.tif |
China Nighttime Lighting Data - Prefecture Level
| NAME | province | Pcode | city | type | SumDN | SumCell | MeanDN | LightCell | LightMeanDN | Percentage | tif | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110101 | 东城区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 9473.010001 | 253 | 37.44272728 | 253 | 37.44272728 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110102 | 西城区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 11278.48999 | 317 | 35.57883277 | 317 | 35.57883277 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110105 | 朝阳区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 66303.48999 | 2815 | 23.55363765 | 2815 | 23.55363765 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110106 | 丰台区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 30842.13728 | 1843 | 16.73474622 | 1840 | 16.76203113 | 99.84% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110107 | 石景山区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 8053.410011 | 522 | 15.42798853 | 521 | 15.45760079 | 99.81% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110108 | 海淀区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 36850.47002 | 2599 | 14.17871105 | 2519 | 14.62900755 | 96.92% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110109 | 门头沟区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 6009.900006 | 8807 | 0.682400364 | 1945 | 3.089922882 | 22.08% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110111 | 房山区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 18550.64999 | 12087 | 1.534760485 | 6026 | 3.078435113 | 49.86% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110112 | 通州区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 29119.18999 | 5484 | 5.309845001 | 5325 | 5.468392486 | 97.10% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110113 | 顺义区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 36365.1 | 6153 | 5.910141394 | 5814 | 6.254747161 | 94.49% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110114 | 昌平区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 26887.88001 | 8173 | 3.289842165 | 5263 | 5.108850468 | 64.39% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110115 | 大兴区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 32013.71001 | 6249 | 5.123013283 | 5365 | 5.967140728 | 85.85% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110116 | 怀柔区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 8082.5 | 12998 | 0.621826435 | 3018 | 2.678098078 | 23.22% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110117 | 平谷区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 5444.420002 | 5780 | 0.941941177 | 3061 | 1.778640968 | 52.96% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110118 | 密云区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 6991.459995 | 13607 | 0.513813478 | 4031 | 1.734423219 | 29.62% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 110119 | 延庆区 | 北京市 | 110000 | 110000 | 北京市 | 市辖区 | 3781.23 | 12233 | 0.309100793 | 2700 | 1.400455556 | 22.07% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120101 | 和平区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 3632.790005 | 60 | 60.54650008 | 60 | 60.54650008 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120102 | 河东区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 8803.360001 | 240 | 36.68066667 | 240 | 36.68066667 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120103 | 河西区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 8097.639977 | 229 | 35.36087326 | 229 | 35.36087326 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120104 | 南开区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 7409.190001 | 227 | 32.63960353 | 227 | 32.63960353 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120105 | 河北区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 6240.81999 | 177 | 35.25887 | 177 | 35.25887 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120106 | 红桥区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 5478.209984 | 133 | 41.18954875 | 133 | 41.18954875 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120110 | 东丽区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 35443.80004 | 2863 | 12.37995111 | 2857 | 12.40595031 | 99.79% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120111 | 西青区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 31061.30002 | 3392 | 9.157222885 | 3341 | 9.297006892 | 98.50% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120112 | 津南区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 22142.54999 | 2317 | 9.556560204 | 2311 | 9.581371698 | 99.74% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120113 | 北辰区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 21535.56 | 2859 | 7.532549842 | 2843 | 7.574941962 | 99.44% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120114 | 武清区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 19544.10001 | 9495 | 2.058357031 | 7100 | 2.752690142 | 74.78% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120115 | 宝坻区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 10102.48 | 9116 | 1.108214129 | 5237 | 1.929058621 | 57.45% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120116 | 滨海新区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 93621.70353 | 14312 | 6.541482919 | 11566 | 8.094561952 | 80.81% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120117 | 宁河区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 8018.510003 | 7804 | 1.027487186 | 4442 | 1.805157587 | 56.92% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120118 | 静海区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 13974.21999 | 8810 | 1.586177071 | 6911 | 2.022025755 | 78.44% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 120119 | 蓟州区 | 天津市 | 120000 | 120000 | 天津市 | 市辖区 | 6949.729996 | 9677 | 0.718169887 | 4514 | 1.539594594 | 46.65% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130102 | 长安区 | 河北省 | 130000 | 130100 | 石家庄市 | 市辖区 | 7850.409987 | 855 | 9.181766066 | 826 | 9.504128313 | 96.61% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130104 | 桥西区 | 河北省 | 130000 | 130100 | 石家庄市 | 市辖区 | 7553.409997 | 392 | 19.26890305 | 392 | 19.26890305 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130105 | 新华区 | 河北省 | 130000 | 130100 | 石家庄市 | 市辖区 | 5511.810004 | 535 | 10.30244861 | 535 | 10.30244861 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130107 | 井陉矿区 | 河北省 | 130000 | 130100 | 石家庄市 | 市辖区 | 1068.129999 | 421 | 2.537125889 | 394 | 2.710989846 | 93.59% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130108 | 裕华区 | 河北省 | 130000 | 130100 | 石家庄市 | 市辖区 | 10700.70001 | 629 | 17.01224166 | 629 | 17.01224166 | 100.00% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130109 | 藁城区 | 河北省 | 130000 | 130100 | 石家庄市 | 市辖区 | 6049.170005 | 4816 | 1.256056895 | 3526 | 1.715589905 | 73.21% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130110 | 鹿泉区 | 河北省 | 130000 | 130100 | 石家庄市 | 市辖区 | 8417.589996 | 3652 | 2.304926067 | 3069 | 2.742779406 | 84.04% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130111 | 栾城区 | 河北省 | 130000 | 130100 | 石家庄市 | 市辖区 | 3428.659996 | 2062 | 1.662783703 | 1731 | 1.980739455 | 83.95% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130121 | 井陉县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 3573.539994 | 8127 | 0.43971207 | 3262 | 1.095505823 | 40.14% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130123 | 正定县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 5398.680004 | 2832 | 1.906313561 | 2503 | 2.156883741 | 88.38% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130125 | 行唐县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 1462.819999 | 5717 | 0.255871961 | 1982 | 0.738052471 | 34.67% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130126 | 灵寿县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 2187.709997 | 6269 | 0.348972723 | 2418 | 0.904760131 | 38.57% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130127 | 高邑县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 998.639999 | 1297 | 0.769961449 | 963 | 1.037009345 | 74.25% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130128 | 深泽县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 858.8999988 | 1756 | 0.489123006 | 1040 | 0.825865383 | 59.23% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130129 | 赞皇县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 1747.160002 | 4918 | 0.355258236 | 1676 | 1.042458235 | 34.08% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130130 | 无极县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 1610.329997 | 2958 | 0.544398241 | 1974 | 0.815770008 | 66.73% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130131 | 平山县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 5161.359997 | 15726 | 0.328205519 | 3905 | 1.321731113 | 24.83% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
| 130132 | 元氏县 | 河北省 | 130000 | 130100 | 石家庄市 | 县 | 2400.550001 | 3975 | 0.60391195 | 2276 | 1.054723199 | 57.26% | SVDNB_npp_20120401-20120430_outed_Kriging.tif |
China Night Light Data - City Level
| pro_code | province | city_code | city | type | SumDN | SumCell | MeanDN | LightCell | LightMeanDN | Percentage | tif |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 120000 | 天津市 | 120000 | 天津市 | 直辖市 | 361100.8199 | 71711 | 5.035501107 | 52188 | 6.919230856 | 72.78% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 130100 | 石家庄市 | 地级市 | 103851.8626 | 83188 | 1.24839956 | 42738 | 2.429965431 | 51.38% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 130200 | 唐山市 | 地级市 | 183609.0063 | 83552 | 2.197541726 | 53058 | 3.460533874 | 63.50% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 130300 | 秦皇岛市 | 地级市 | 51643.39002 | 47389 | 1.089775898 | 19055 | 2.710227763 | 40.21% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 130400 | 邯郸市 | 地级市 | 76788.84239 | 69997 | 1.097030478 | 36807 | 2.086256484 | 52.58% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 130500 | 邢台市 | 地级市 | 50856.23996 | 72744 | 0.699112504 | 34644 | 1.467966746 | 47.62% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 130600 | 保定市 | 地级市 | 73151.40995 | 133004 | 0.54999406 | 54341 | 1.34615502 | 40.86% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 130700 | 张家口市 | 地级市 | 55704.34997 | 226347 | 0.246101561 | 39050 | 1.426487835 | 17.25% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 130800 | 承德市 | 地级市 | 37859.15999 | 244724 | 0.15470146 | 34364 | 1.101709929 | 14.04% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 130900 | 沧州市 | 地级市 | 79588.94998 | 83875 | 0.948899553 | 46144 | 1.724795206 | 55.02% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 131000 | 廊坊市 | 地级市 | 63236.40996 | 38568 | 1.639608224 | 27110 | 2.332586129 | 70.29% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 130000 | 河北省 | 131100 | 衡水市 | 地级市 | 24235.54999 | 52031 | 0.465790586 | 17634 | 1.374364863 | 33.89% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 140100 | 太原市 | 地级市 | 84470.86994 | 40769 | 2.071938727 | 16882 | 5.003605612 | 41.41% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 140200 | 大同市 | 地级市 | 62969.64995 | 85299 | 0.738222605 | 25572 | 2.462445251 | 29.98% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 140300 | 阳泉市 | 地级市 | 18891.56999 | 26976 | 0.700310275 | 9576 | 1.972803883 | 35.50% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 140400 | 长治市 | 地级市 | 52183.00208 | 80893 | 0.645086745 | 24012 | 2.173205151 | 29.68% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 140500 | 晋城市 | 地级市 | 29148.14999 | 54013 | 0.539650639 | 17097 | 1.704869275 | 31.65% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 140600 | 朔州市 | 地级市 | 50769.04999 | 64219 | 0.790561205 | 22269 | 2.279808253 | 34.68% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 140700 | 晋中市 | 地级市 | 53589.89997 | 95859 | 0.559049228 | 28533 | 1.878172641 | 29.77% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 140800 | 运城市 | 地级市 | 33206.06001 | 81124 | 0.409324738 | 22925 | 1.448464995 | 28.26% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 140900 | 忻州市 | 地级市 | 53263.19998 | 150371 | 0.354211916 | 40102 | 1.328193107 | 26.67% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 141000 | 临汾市 | 地级市 | 45654.48933 | 117270 | 0.389310901 | 31643 | 1.442799018 | 26.98% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 140000 | 山西省 | 141100 | 吕梁市 | 地级市 | 72114.15997 | 124384 | 0.579770388 | 36623 | 1.96909483 | 29.44% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 150100 | 呼和浩特市 | 地级市 | 83198.56997 | 105277 | 0.790282493 | 27052 | 3.075505322 | 25.70% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 150200 | 包头市 | 地级市 | 70514.04387 | 172401 | 0.409011803 | 21296 | 3.311140302 | 12.35% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 150300 | 乌海市 | 地级市 | 23189.22002 | 9978 | 2.324034879 | 5651 | 4.103560435 | 56.63% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 150400 | 赤峰市 | 地级市 | 48028.51002 | 554711 | 0.086582941 | 31958 | 1.502863446 | 5.76% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 150500 | 通辽市 | 地级市 | 27044.26001 | 379341 | 0.071292742 | 19656 | 1.375878104 | 5.18% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 150600 | 鄂尔多斯市 | 地级市 | 136022.0406 | 523452 | 0.259855804 | 58660 | 2.318821012 | 11.21% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 150700 | 呼伦贝尔市 | 地级市 | 42230.17998 | 1814107 | 0.02327877 | 29011 | 1.455660956 | 1.60% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 150800 | 巴彦淖尔市 | 地级市 | 33745.29999 | 403859 | 0.083557133 | 20899 | 1.614684912 | 5.17% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 150900 | 乌兰察布市 | 地级市 | 45581.81183 | 339141 | 0.134403719 | 29621 | 1.538834335 | 8.73% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 152200 | 兴安盟 | 盟 | 14396.95001 | 370504 | 0.038857745 | 11419 | 1.260789036 | 3.08% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 152500 | 锡林郭勒盟 | 盟 | 31660.98263 | 1296615 | 0.024418183 | 20375 | 1.553913258 | 1.57% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 150000 | 内蒙古自治区 | 152900 | 阿拉善盟 | 盟 | 18026.57 | 1465576 | 0.01229999 | 10041 | 1.795296285 | 0.69% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 210100 | 沈阳市 | 副省级市 | 155135.71 | 80674 | 1.922995142 | 32648 | 4.751767644 | 40.47% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 210200 | 大连市 | 副省级市 | 124801.2252 | 79999 | 1.560034816 | 28459 | 4.385299034 | 35.57% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 210300 | 鞍山市 | 地级市 | 45337.76511 | 56790 | 0.798340643 | 14827 | 3.057784118 | 26.11% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 210400 | 抚顺市 | 地级市 | 40501.66568 | 70383 | 0.575446708 | 11707 | 3.459610974 | 16.63% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 210500 | 本溪市 | 地级市 | 30213.86001 | 52059 | 0.580377265 | 11345 | 2.663187308 | 21.79% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 210600 | 丹东市 | 地级市 | 23316.92001 | 89830 | 0.259567183 | 13247 | 1.760166076 | 14.75% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 210700 | 锦州市 | 地级市 | 35149.00515 | 62051 | 0.566453484 | 17212 | 2.042122075 | 27.74% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 210800 | 营口市 | 地级市 | 58603.58001 | 32587 | 1.798372971 | 13509 | 4.338113851 | 41.46% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 210900 | 阜新市 | 地级市 | 17113.90003 | 64892 | 0.263728965 | 11177 | 1.531171158 | 17.22% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 211000 | 辽阳市 | 地级市 | 41861.18001 | 29258 | 1.430760134 | 12963 | 3.229281803 | 44.31% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 211100 | 盘锦市 | 地级市 | 42428.81997 | 22602 | 1.877215289 | 11669 | 3.636028792 | 51.63% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 211200 | 铁岭市 | 地级市 | 23258.43999 | 82066 | 0.2834114 | 15391 | 1.511171463 | 18.75% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 211300 | 朝阳市 | 地级市 | 32666.02999 | 122406 | 0.266866248 | 24720 | 1.321441343 | 20.20% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
| 210000 | 辽宁省 | 211400 | 葫芦岛市 | 地级市 | 27676.68996 | 63303 | 0.437209768 | 15102 | 1.83265064 | 23.86% | SVDNB_npp_20121001-20121031_outed_Kriging.tif |
Data Update Frequency
Annual Update