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Remote Sensing-Based Assessment of Economic Development

Yijian Pan, Yongchang Ma, Bolin Shen, Linyang He

Abstract

The goal of our project is to use satellite data (including nighttime light data and remote sensing images) to give us some statistical estimation of the economic development level of a selected area (Singapore). Findings from the project could inform policymakers about areas needing intervention or support for economic development initiatives. Insights gained might aid in targeted policy formulation for infrastructure, agriculture, urban planning, or resource management.

Remote Sensing-Based Assessment of Economic Development

Abstract

The goal of our project is to use satellite data (including nighttime light data and remote sensing images) to give us some statistical estimation of the economic development level of a selected area (Singapore). Findings from the project could inform policymakers about areas needing intervention or support for economic development initiatives. Insights gained might aid in targeted policy formulation for infrastructure, agriculture, urban planning, or resource management.

Paper Structure

This paper contains 16 sections, 5 equations, 5 figures.

Table of Contents

  1. Introduction
  2. Economic Activity Estimation Based on Light Intensity
  3. Interannual inconsistency correction
  4. Saturation correction
  5. Blooming efect correction
  6. Prediction based on linear regression models
  7. Economic Activity Estimation Based on Boat Intensity
  8. Sentinel-2
  9. Boats detection in the Singapore Port
  10. YOLO
  11. Results
  12. GDP prediction based on nighttime light data
  13. Number of boats and GDP, port throughput
  14. Code Availability
  15. References
  16. ...and 1 more sections

Figures (5)

  • Figure 1: Singapore port's boats
  • Figure 2: Boat detection results using YOLO (left:input, right:output)
  • Figure 3: Regression result using illumination data before and after correlation
  • Figure 4: Singapore port's boat number, port throughput and GDP (scaled based on 2017)
  • Figure 5: YOLOv8 Architecture