Cargando…
Monitoring Spatiotemporal Distribution of the GDP of Major Cities in China during the COVID-19 Pandemic
Monitoring the fine spatiotemporal distribution of urban GDP is a critical research topic for assessing the impact of the COVID-19 outbreak on economic and social growth. Based on nighttime light (NTL) images and urban land use data, this study constructs a GDP machine learning and linear estimation...
Autores principales: | Wang, Yanjun, Teng, Fei, Wang, Mengjie, Li, Shaochun, Lin, Yunhao, Cai, Hengfan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265774/ https://www.ncbi.nlm.nih.gov/pubmed/35805721 http://dx.doi.org/10.3390/ijerph19138048 |
Ejemplares similares
-
Estimation and Analysis of PM(2.5) Concentrations with NPP-VIIRS Nighttime Light Images: A Case Study in the Chang-Zhu-Tan Urban Agglomeration of China
por: Wang, Mengjie, et al.
Publicado: (2022) -
Lightweight Deep Neural Network Method for Water Body Extraction from High-Resolution Remote Sensing Images with Multisensors
por: Wang, Yanjun, et al.
Publicado: (2021) -
Spatiotemporal distribution of ground-level ozone in China at a city level
por: Yang, Guangfei, et al.
Publicado: (2020) -
Getting to Grips with China's GDP Data
por: Orlik, Thomas
Publicado: (2011) -
Spatiotemporal Difference Characteristics and Influencing Factors of Tourism Urbanization in China’s Major Tourist Cities
por: Xie, Xia, et al.
Publicado: (2021)