• Journal of Geo-information Science
  • Vol. 22, Issue 5, 1153 (2020)
Yongquan WANG1、1、2、2, Chisheng WANG1、1、2、2、3、3、*, Lehan WANG1、1, Jiani SHE1、1, and Qingquan LI1、1
Author Affiliations
  • 1.广东省城市空间信息工程重点实验室,深圳大学建筑与城市规划学院,深圳 518060
  • 1Guangdong Key Laboratory of Urban Informatics, School of Architecture & Urban Planning, Shenzhen University, Shenzhen 518060, China
  • 2.自然资源部大湾区地理环境监测自然资源部重点实验室,深圳大学,深圳 518060
  • 2Key Laboratory for Geo-Environmental Monitoring of Great Bay Area of Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China
  • 3.自然资源部城市国土资源监测与仿真重点实验室,深圳 518060
  • 3Key Laboratory of Urban Land Resources Monitoring and Simulation of Ministry of Natural Resources, Shenzhen 518060, China
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    DOI: 10.12082/dqxxkx.2020.190549 Cite this Article
    Yongquan WANG, Chisheng WANG, Lehan WANG, Jiani SHE, Qingquan LI. Preliminary Application of Night Light Remote Sensing based on Passenger Aircraft in Hong Kong Economic Activity Zone Changes Identification[J]. Journal of Geo-information Science, 2020, 22(5): 1153 Copy Citation Text show less
    Areaof image coveraged and ground control point distribution
    Fig. 1. Areaof image coveraged and ground control point distribution
    Flow chart of economic activity change area detection
    Fig. 2. Flow chart of economic activity change area detection
    Flight path interpolation results
    Fig. 3. Flight path interpolation results
    Comparison of smartphone light photos with ground control points in Google Earth
    Fig. 4. Comparison of smartphone light photos with ground control points in Google Earth
    POI density map of the study area in September, 2019
    Fig. 5. POI density map of the study area in September, 2019
    Passenger aircraft night light remote sensing image of the study area in August 28, 2019
    Fig. 6. Passenger aircraft night light remote sensing image of the study area in August 28, 2019
    Lujia-01 night light remote sensing image of the study area
    Fig. 7. Lujia-01 night light remote sensing image of the study area
    VGI photos before and after the demonstration
    Fig. 8. VGI photos before and after the demonstration
    区域POI数量/个民航客机夜光遥感DN平均值(Km珞珈一号-01星DN平均值(Kl比例1(Pm)/%比例2(Pl)/%变化率(V)/%
    区域127121.503280.470.840.769.52
    区域294120.8311 358.291.030.8319.42
    Table 1. The DN values and the percentage change ratios of the POIs in area 1 and area 2
    Yongquan WANG, Chisheng WANG, Lehan WANG, Jiani SHE, Qingquan LI. Preliminary Application of Night Light Remote Sensing based on Passenger Aircraft in Hong Kong Economic Activity Zone Changes Identification[J]. Journal of Geo-information Science, 2020, 22(5): 1153
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