Improving Sub-Industry GDP Estimation With SDGSAT-1 Multispectral Nighttime Light and Thermal Infrared Data: Effectiveness and Potential

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 18; pp. 20279 - 20293
• Main Authors: Zhang, Lingxian, Chen, Zuoqi, Gong, Wenkang, Wang, Congxiao, Xiong, Jing, Dong, Linxin, Ni, Jingwen, Huang, Yan, Yu, Bailang
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: Accuracy; Economic indicators; Estimation; Feature extraction; Industries; Land surface; Nighttime light (NL) remote sensing; nighttime thermal infrared; Remote sensing; Satellite broadcasting; SDGSAT-1 imagery; Socioeconomics; subindustry gross domestic product (GDP) estimation; Urban areas

Accurate and timely estimation of gross domestic product (GDP) is essential for evaluating economic development. Nighttime light (NTL) data effectively estimate subindustry GDP, yet previous studies relied on single panchromatic bands. Whether multispectral nighttime remote sensing data, detecting s...