Remote Sensing-Based Assessment of Economic Development
Yijian Pan, Yongchang Ma, Bolin Shen, Linyang He
TL;DR
This paper explores using satellite data, such as nighttime lights and remote sensing images, to estimate economic development levels in Singapore, aiming to support policymakers with data-driven insights.
Contribution
It introduces a method combining satellite imagery and nighttime light data to statistically assess economic development, providing a novel approach for regional economic analysis.
Findings
Satellite data can effectively estimate economic activity levels.
Remote sensing insights can inform targeted policy interventions.
The approach offers a scalable tool for economic assessment in urban areas.
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.
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Taxonomy
TopicsGlobal Trade and Competitiveness · Environmental Sustainability and Technology