Mapping Spatiotemporal Dynamic Changes in Urban CO<sub>2</sub> Emissions in China by Using the Machine Learning Method and Geospatial Big Data
Accurately and objectively evaluating the spatiotemporal dynamic changes in CO<sub>2</sub> emissions is significant for human sustainable development. However, traditional CO<sub>2</sub> emissions estimates, typically derived from national or provincial energy statistics, oft...
Autors principals: | , , , , , |
---|---|
Format: | Article |
Idioma: | English |
Publicat: |
MDPI AG
2025-02-01
|
Col·lecció: | Remote Sensing |
Matèries: | |
Accés en línia: | https://www.mdpi.com/2072-4292/17/4/611 |