INTER-CALIBRATION OF NIGHTTIME LIGHT DATA BETWEEN DMSP/OLS AND NPP/VIIRS IN THE ECONOMIC CORRIDORS OF BELT AND ROAD INITIATIVE

被引:2
|
作者
Bian, Jinhu [1 ]
Li, Ainong [1 ]
Lei, Guangbin [1 ]
Zhang, Zhengjian [1 ,2 ]
Nan, Xi [1 ]
Liang, Li [1 ]
机构
[1] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
关键词
DMSP/OLS; NPP/VIIRS; nighttime light data; invariant target; inter-calibration; OBOR; IMAGERY;
D O I
10.1109/igarss.2019.8900373
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The nighttime light images acquired by the Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) and the Suomi National Polar-orbiting Partnership satellite's Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) can reflect the comprehensive information of human activities. However, there are radiometric inconsistent problems between the existing DMSP/OLS nighttime lighting data such as lack of on-board radiation corrections, pixel saturation, and timescale discontinuities. The radiometric inconsistency between DMSP/OLS and VIIRS also limit the long-term night time light data-based studies. This paper proposes a new method for the inter-calibration of nighttime light data between DMSP/OLS and NPP/VIIRS in the economic corridors of Belt and Road Initiative. An automatic invariant pixel selection method was developed for the fitting of the inter-calibration models. Results revealed that combined with the NPP/VIIRS nighttime light data, the calibrated DMSP/OLS images at NPP/VIIRS radiometric level can well reflect the long-term socio-economic development trends along the economic corridors.
引用
收藏
页码:9028 / 9031
页数:4
相关论文
共 50 条
  • [1] Constructing a New Inter-Calibration Method for DMSP-OLS and NPP-VIIRS Nighttime Light
    Ma, Jinji
    Guo, Jinyu
    Ahmad, Safura
    Li, Zhengqiang
    Hong, Jin
    [J]. REMOTE SENSING, 2020, 12 (06)
  • [2] Inter-calibration of DMSP-OLS and SNPP-VIIRS-DNB annual nighttime light composites using machine learning
    Sahoo, Sumana
    Gupta, Prasun Kumar
    Srivastav, S. K.
    [J]. GISCIENCE & REMOTE SENSING, 2020, 57 (08) : 1144 - 1165
  • [3] Regional Economic Activity Derived From MODIS Data: A Comparison With DMSP/OLS and NPP/VIIRS Nighttime Light Data
    Chen, Jiejie
    Li, Long
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (08) : 3067 - 3077
  • [4] Measurement of blooming effect of DMSP-OLS nighttime light data based on NPP-VIIRS data
    Shen, Zheyan
    Zhu, Xiaolin
    Cao, Xin
    Chen, Jin
    [J]. ANNALS OF GIS, 2019, 25 (02) : 153 - 165
  • [5] Integrating DMSP-OLS and NPP-VIIRS Nighttime Light Data to Evaluate Poverty in Southwestern China
    Yong, Zhiwei
    Li, Kun
    Xiong, Junnan
    Cheng, Weiming
    Wang, Zegen
    Sun, Huaizhang
    Ye, Chongchong
    [J]. REMOTE SENSING, 2022, 14 (03)
  • [6] The Uncertainty of Nighttime Light Data in Estimating Carbon Dioxide Emissions in China: A Comparison between DMSP-OLS and NPP-VIIRS
    Zhang, Xiwen
    Wu, Jiansheng
    Peng, Jian
    Cao, Qiwen
    [J]. REMOTE SENSING, 2017, 9 (08):
  • [7] Modeling Spatiotemporal Population Changes by Integrating DMSP-OLS and NPP-VIIRS Nighttime Light Data in Chongqing, China
    Lu, Dan
    Wang, Yahui
    Yang, Qingyuan
    Su, Kangchuan
    Zhang, Haozhe
    Li, Yuanqing
    [J]. REMOTE SENSING, 2021, 13 (02) : 1 - 16
  • [8] Spatial-Temporal Pattern Evolution of Xi'an Metropolitan Area Using DMSP/OLS and NPP/VIIRS Nighttime Light Data
    Li, Shangzhi
    Li, Xuxiang
    Zhang, Meng
    [J]. SUSTAINABILITY, 2022, 14 (15)
  • [9] Evaluation of NPP-VIIRS Nighttime Light Data for Mapping Global Fossil Fuel Combustion CO2 Emissions: A Comparison with DMSP-OLS Nighttime Light Data
    Ou, Jinpei
    Liu, Xiaoping
    Li, Xia
    Li, Meifang
    Li, Wenkai
    [J]. PLOS ONE, 2015, 10 (09):
  • [10] A Comparative Study of NPP-VIIRS and DMSP-OLS Nighttime Light Imagery for Derivation of Urban Demographic Metrics
    Xie, Yanhua
    Weng, Qihao
    Weng, Anthea
    [J]. 2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA 2014), 2014,