Articles | Volume 12, issue 1
Earth Syst. Sci. Data, 12, 357–371, 2020
https://doi.org/10.5194/essd-12-357-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 12, 357–371, 2020
https://doi.org/10.5194/essd-12-357-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
17 Feb 2020
Data description paper
| 17 Feb 2020
A national dataset of 30 m annual urban extent dynamics (1985–2015) in the conterminous United States
Xuecao Li et al.
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Cited
17 citations as recorded by crossref.
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- Mapping Rural Settlements from Landsat and Sentinel Time Series by Integrating Pixel- and Object-Based Methods R. Xu 10.3390/land10030244
- Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product G. Xian et al. 10.5194/essd-14-143-2022
- Evaluation of Light Pollution in Global Protected Areas from 1992 to 2018 H. Mu et al. 10.3390/rs13091849
- Mapping global urban boundaries from the global artificial impervious area (GAIA) data X. Li et al. 10.1088/1748-9326/ab9be3
- A 30 m resolution dataset of China's urban impervious surface area and green space, 2000–2018 W. Kuang et al. 10.5194/essd-13-63-2021
- 30 m global impervious surface area dynamics and urban expansion pattern observed by Landsat satellites: From 1972 to 2019 X. Huang et al. 10.1007/s11430-020-9797-9
- Conterminous United States Land-Cover Change (1985–2016): New Insights from Annual Time Series R. Auch et al. 10.3390/land11020298
- High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015 X. Liu et al. 10.1038/s41893-020-0521-x
- Integrating remote sensing and geospatial big data for urban land use mapping: A review J. Yin et al. 10.1016/j.jag.2021.102514
- A novel approach for quantifying high-frequency urban land cover changes at the block level with scarce clear-sky Landsat observations C. Jing et al. 10.1016/j.rse.2021.112293
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- A standardized dataset of built-up areas of China’s cities with populations over 300,000 for the period 1990–2015 H. Jiang et al. 10.1080/20964471.2021.1950351
- Landsat-Derived Annual Maps of Agricultural Greenhouse in Shandong Province, China from 1989 to 2018 C. Ou et al. 10.3390/rs13234830
- Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction S. Khoshnoodmotlagh et al. 10.3390/rs12203329
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17 citations as recorded by crossref.
- Performance Evaluation of a Smart Mobile Air Temperature and Humidity Sensor for Characterizing Intracity Thermal Environment C. Cao et al. 10.1175/JTECH-D-20-0012.1
- Mapping Rural Settlements from Landsat and Sentinel Time Series by Integrating Pixel- and Object-Based Methods R. Xu 10.3390/land10030244
- Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product G. Xian et al. 10.5194/essd-14-143-2022
- Evaluation of Light Pollution in Global Protected Areas from 1992 to 2018 H. Mu et al. 10.3390/rs13091849
- Mapping global urban boundaries from the global artificial impervious area (GAIA) data X. Li et al. 10.1088/1748-9326/ab9be3
- A 30 m resolution dataset of China's urban impervious surface area and green space, 2000–2018 W. Kuang et al. 10.5194/essd-13-63-2021
- 30 m global impervious surface area dynamics and urban expansion pattern observed by Landsat satellites: From 1972 to 2019 X. Huang et al. 10.1007/s11430-020-9797-9
- Conterminous United States Land-Cover Change (1985–2016): New Insights from Annual Time Series R. Auch et al. 10.3390/land11020298
- High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015 X. Liu et al. 10.1038/s41893-020-0521-x
- Integrating remote sensing and geospatial big data for urban land use mapping: A review J. Yin et al. 10.1016/j.jag.2021.102514
- A novel approach for quantifying high-frequency urban land cover changes at the block level with scarce clear-sky Landsat observations C. Jing et al. 10.1016/j.rse.2021.112293
- Assessment of Sustainability Development in Urban Areas of Morocco L. Bounoua et al. 10.3390/urbansci4020018
- Increasing global urban exposure to flooding: An analysis of long-term annual dynamics W. Cao et al. 10.1016/j.scitotenv.2022.153012
- A standardized dataset of built-up areas of China’s cities with populations over 300,000 for the period 1990–2015 H. Jiang et al. 10.1080/20964471.2021.1950351
- Landsat-Derived Annual Maps of Agricultural Greenhouse in Shandong Province, China from 1989 to 2018 C. Ou et al. 10.3390/rs13234830
- Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction S. Khoshnoodmotlagh et al. 10.3390/rs12203329
- Monitoring long-term annual urban expansion (1986–2017) in the largest archipelago of China W. Cao et al. 10.1016/j.scitotenv.2021.146015
Latest update: 08 Aug 2022
Short summary
The information of urban dynamics with fine spatial and temporal resolutions is highly needed in urban studies. In this study, we generated a long-term (1985–2015), fine-resolution (30 m) product of annual urban extent dynamics in the conterminous United States using all available Landsat images on the Google Earth Engine (GEE) platform. The data product is of great use for relevant studies such as urban growth projection, urban sprawl modeling, and urbanization impacts on environments.
The information of urban dynamics with fine spatial and temporal resolutions is highly needed in...
