Global urban growth between 1870 and 2100 from integrated high resolution mapped data and urban dynamic modeling

  title={Global urban growth between 1870 and 2100 from integrated high resolution mapped data and urban dynamic modeling},
  author={Xuecao Li and Yuyu Zhou and Mohamad I. Hejazi and Marshall A Wise and Chris R. Vernon and Gokul C. Iyer and Wei Chen},
  journal={Communications Earth \& Environment},
Long term, global records of urban extent can help evaluate environmental impacts of anthropogenic activities. Remotely sensed observations can provide insights into historical urban dynamics, but only during the satellite era. Here, we develop a 1 km resolution global dataset of annual urban dynamics between 1870 and 2100 using an urban cellular automata model trained on satellite observations of urban extent between 1992 and 2013. Hindcast (1870–1990) and projected (2020–2100) urban dynamics… 

Surface warming in global cities is substantially more rapid than in rural background areas

Warming trends in cities are influenced both by large-scale climate processes and by local-scale urbanization. However, little is known about how surface warming trends of global cities differ from

Gridded land use data for the conterminous United States 1940–2015

Multiple aspects of our society are reflected in how we have transformed land through time. However, limited availability of historical-spatial data at fine granularity have hindered our ability to

Spatial structure of city population growth

We show here that population growth, resolved at the county level, is spatially heterogeneous both among and within the U.S. metropolitan statistical areas. Our analysis of data for over 3,100 U.S.

Warming and cooling effects of local climate zones on urban thermal environment

Understanding the thermal characteristics and contribution ranking of local climate zones (LCZs) is essential since they can help in maintaining environmental harmony. However, previous studies only

Spatial Modelling and Prediction with the Spatio-Temporal Matrix: A Study on Predicting Future Settlement Growth

In the past decades, various Earth observation-based time series products have emerged, which have enabled studies and analysis of global change processes. Besides their contribution to understanding



High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015

High-resolution global maps of annual urban land coverage provide fundamental information of global environmental change and contribute to applications related to climate mitigation and urban

Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Shared Socioeconomic Pathways

Improved understanding of the potential growth of urban areas at the national and global levels is needed for sustainable urban development. Current panel data analysis and local scale modeling are

High-resolution global urban growth projection based on multiple applications of the SLEUTH urban growth model

A framework is constructed to project global urban growth based on the SLEUTH urban growth model and a database with a resolution of 30 arc-seconds containing urban growth probabilities from 2020 to 2050, using the historical distribution of the global population from LandScanTM as a proxy for urban land cover.

Global projections of future urban land expansion under shared socioeconomic pathways

The scenario projections reveal that although global urban land continues to expand rapidly before the 2040s, China and many other Asian countries are expected to encounter substantial pressure from urban population decline after the 2050s.

Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways

A first empirically-grounded set of global, spatial urban land projections over the 21st century is produced exploiting 15 diverse datasets, including a newly available 40-year global time series of fine-spatial-resolution remote sensing observations.

Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools

S spatially explicit probabilistic forecasts of global urban land-cover change are developed and the direct impacts on biodiversity hotspots and tropical carbon biomass are explored to minimize global biodiversity and vegetation carbon losses.

Spatializing 6,000 years of global urbanization from 3700 BC to AD 2000

The dataset provides the first spatially explicit archive of the location and size of urban populations over the last 6,000 years and can contribute to an improved understanding of contemporary and historical urbanization trends.