Pei Tan^1,2,3, Mingyang Lv^2,4,*, Huadong Guo^1,2,3,*, Changyong Dou^1,2, Xue Jin⁴, Wuhe Li⁴

Revue Internationale de Géomatique, Vol.34, pp. 169-185, 2025, DOI:10.32604/rig.2025.063997 - 09 April 2025

Abstract Green space plays an important role in the sustainable urban development. This study proposes the Green Lighting Index (GLI), integrating nighttime light data from SDGSAT-1 and the Normalized Difference Vegetation Index (NDVI) from Sentinel-2, to explore the nighttime human activity in green spaces across three major urban agglomerations in China: Beijing-Tianjin-Hebei (BTH), the Yangtze River Delta (YRD), and the Greater Bay Area (GBA). The findings reveal that, for most green spaces, the relationship between nighttime lighting and green spaces is predominantly exclusionary. However, a synergistic relationship is observed in some vibrant green spaces characterized by More >

Tzu-Chia Chen¹, Ngakan Ketut Acwin Dwijendra^2,*, Saurabh Singhal³, R. Sivaraman⁴, Amr Mamdouh⁵

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3159-3169, 2023, DOI:10.32604/cmc.2023.035418 - 31 March 2023

Abstract A smart city incorporates infrastructure methods that are environmentally responsible, such as smart communications, smart grids, smart energy, and smart buildings. The city administration has prioritized the use of cutting-edge technology and informatics as the primary strategy for enhancing service quality, with energy resources taking precedence. To achieve optimal energy management in the multidimensional system of a city tribe, it is necessary not only to identify and study the vast majority of energy elements, but also to define their implicit interdependencies. This is because optimal energy management is required to reach this objective. The lighting… More >