ESTIMATING INDUSTRIAL STRUCTURE CHANGES IN CHINA USING DMSP – OLS NIGHT-TIME LIGHT DATA DURING 1999–2012

6 citations as recorded by crossref.

1. Urban Food Takeaway Vitality: A New Technique to Assess Urban Vitality B. Zikirya et al. https://doi.org/10.3390/ijerph18073578
2. GDP Estimation by Integrating Qimingxing-1 Nighttime Light, Street-View Imagery, and Points of Interest: An Empirical Study in Dongguan City Z. Chen et al. https://doi.org/10.3390/rs17071127
3. An urban-rural Fringe extraction method based on Combined Urban-rural Fringe Index (CUFI) H. Duan et al. https://doi.org/10.1080/10106049.2024.2311211
4. Using Wavelet Transforms to Fuse Nighttime Light Data and POI Big Data to Extract Urban Built-Up Areas X. He et al. https://doi.org/10.3390/rs12233887
5. Spatio-temporal evolution and influencing factors of CO2 emissions in Jiangxi Province based on nighttime light data X. Zhou et al. https://doi.org/10.1016/j.asr.2026.07.009
6. The Intercity Industrial Distribution Effects of China’s High-Speed Railway: Evidence from Nighttime Light Remote Sensing Data F. Niu & L. Zhu https://doi.org/10.3390/rs17061102