Journal of Geo-information Science, Volume. 22, Issue 2, 246(2020)

A Method for Classified Correction of Stable DMSP/OLS Nighttime Light Imagery Across China

Ziyang CAO1...1,2,2,3,3,*, Zhifeng WU4,4, Sujuan MI1,1,2,2, and Ke YANG11 |Show fewer author(s)
Author Affiliations
  • 1China Transport Telecommunications & Information Center, Beijing 100011, China
  • 1中国交通通信信息中心 交通运输遥感中心,北京 100011
  • 2China Transport Infocom Technologies Co., Ltd., Beijing 100000, China
  • 2北京国交信通科技发展有限公司,北京 100000
  • 3School of Geological and Surveying Engineering of Chang'an University, Xi'an 710061, China
  • 3长安大学地质工程与测绘学院,西安 710061
  • 4School of Geographical Sciences of Guangzhou University, Guangzhou 510006, China
  • 4广州大学地理科学学院,广州 510006
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    Figures & Tables(13)
    Comparison of scatter distribution of DNs between SNL images and reference images in 2006
    Sum of the DNs of bright pixels with DN value ≤55 in SNL images obtained from different satellites
    Relationship (and coefficients) of unsaturated pixel DNs between NSL images
    NDLI values of the stable nighttime light image of the same year obtained by different satellites before and after the classified correction
    Sum of bright pixel values obtained from different satellites after correction by different methods
    Comparison of different types of NTL images for some Chinese urban agglomerations in 2006
    Latitudinal transects of different types of NTL index for Jing-Jin-Tang urban agglomerations in 2006
    Correlation of GDP and electricity consumption with 4 types of NTL images for Chinese cities from 1999 to 2013
    • Table 1. Chinese cities with the index correlation coefficient between the total DN value of unsaturated pixels in the SNL images and years over 0.9

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      Table 1. Chinese cities with the index correlation coefficient between the total DN value of unsaturated pixels in the SNL images and years over 0.9

      城市R2城市R2城市R2城市R2
      拉萨市0.9673德宏州0.9347宁波市0.9185台州市0.9103
      延安市0.9580黄山市0.9335迪庆州0.9178梧州市0.9091
      克孜州0.9541甘南州0.9309威海市0.9176苏州市0.9089
      凉山州0.9538临沧市0.9300绍兴市0.9171普洱市0.9088
      怒江州0.9503遂宁市0.9298重庆市0.9169贺州市0.9080
      舟山市0.9469海南州0.9280银川市0.9162南充市0.9078
      金华市0.9434杭州市0.9279资阳市0.9157抚州市0.9071
      长沙市0.9422和田地区0.9271固原市0.9147上饶市0.9068
      喀什地区0.9422保山市0.9261中卫市0.9141西双版纳州0.9068
      成都市0.9392博尔塔拉州0.9246铜仁地区0.9124赣州市0.9060
      文山州0.9385昌都地区0.9242惠州市0.9119嘉兴市0.9043
      石河子市0.9371丽水市0.9220嘉峪关市0.9113河源市0.9017
      西宁市0.9349锡林郭勒盟0.9194永州市0.9111桂林市0.9016
      甘孜州0.9348丽江市0.9190厦门市0.9109酒泉市0.9010
    • Table 2. Representative reference images for raw SNL images

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      Table 2. Representative reference images for raw SNL images

      辐射校准的灯光影像混合的稳定灯光影像待校正稳定灯光影像
      F12_1996F12_1997F10_1992-1994, F12_1994-1999
      F12_1999F14_1999F14_1997-2003
      F12-F15_2000F15_2000F15_2000-2007 a
      F14-F15_2003F15_2003
      F14_2004F15_2004
      F16_2006F16_2006F16_2004-2009
      F16_2010F18_2010F18_2010-2013 b
      F16_2010-2011F18_2010
    • Table 3. Calibration model coefficients for saturated pixels of each stable nighttime light image

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      Table 3. Calibration model coefficients for saturated pixels of each stable nighttime light image

      稳定灯光影像deR2稳定灯光影像deR2
      F1019921.60580.72090.8261F1520011.71510.66380.8790
      F1019931.42230.77060.8892F1520021.64280.70990.8848
      F1019941.23260.82840.8861F1520030.91460.80680.9204
      F1219941.58140.84050.8629F1520040.83860.87660.9392
      F1219951.37880.88400.9129F1520050.91290.85690.9092
      F1219961.28440.89150.9372F1520060.93780.86100.9028
      F1219971.29810.93120.9462F1520071.12940.80480.8898
      F1219981.40160.92090.9180F1620041.25200.84960.9036
      F1219991.30580.94140.8496F1620051.12730.84240.9204
      F1419971.21870.79030.8974F1620061.23740.86640.9290
      F1419981.26220.79170.9084F1620071.36020.88810.9109
      F1419991.01840.87400.9254F1620081.32280.89690.8708
      F1420001.14120.84770.9055F1620091.88050.75390.8342
      F1420011.39470.83580.8642F1820101.93590.84800.8960
      F1420021.11430.92490.8493F1820111.32470.91730.8207
      F1420031.19010.93570.8088F1820121.95220.81000.8483
      F1520001.73780.64930.8707F1820131.81530.84300.7392
    • Table 4. Coefficients adopted for intercalibration of RC NTL dataset

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      Table 4. Coefficients adopted for intercalibration of RC NTL dataset

      辐射校准的灯光影像C0C1R2
      F12_19964.3360.9150.971
      F12_19991.4230.7800.980
      F12-F15_20003.6580.7100.980
      F14-F15_20023.7360.7970.980
      F14_20041.0620.7610.984
      F16_20060.0001.0001.000
      F16_20102.1961.1950.981
      F16_2010-2011-1.9871.2460.981
    • Table 5. Coefficients adopted for intercalibration of unsaturated pixels in discontinuous images

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      Table 5. Coefficients adopted for intercalibration of unsaturated pixels in discontinuous images

      不连续稳定灯光影像abcR2
      F1019940.000 100.91580.74290.9456
      F121996-0.002 401.1846-0.61580.9481
      F121999-0.000 100.89440.80900.9299
      F141998-0.000 600.90300.50250.9026
      F162005-0.003 501.18870.01750.9198
      F162006-0.005 201.3614-1.15880.9671
      F162008-0.000 080.96540.35620.9698
      F162009-0.006 601.3758-1.72200.8883
      F182010-0.000 090.9353-0.43450.8884
      F182013-0.006 401.1823-0.06910.8417
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    Ziyang CAO, Zhifeng WU, Sujuan MI, Ke YANG. A Method for Classified Correction of Stable DMSP/OLS Nighttime Light Imagery Across China[J]. Journal of Geo-information Science, 2020, 22(2): 246

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    Paper Information

    Received: May. 24, 2019

    Accepted: --

    Published Online: Sep. 16, 2020

    The Author Email:

    DOI:10.12082/dqxxkx.2020.190253

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