Urban Land Expansion and Eco-environmental Consequences using Remote Sensing

Dear Colleagues,

Recently, many cities and countries have been paying more and more attention to the protection of the ecological environment during urban expansion, and the protection of mountains, water, forests, and farmlands is also increasing. At the same time, more attention is being paid to the high-quality development and sustainability of the social economy. Therefore, in the process of rapid urban development, how to reasonably protect the eco-environment, evaluate the impact of the ecological environment in the process of urban expansion from a multi-dimensional perspective, and propose more reasonable protection measures, is an important issue faced by all countries to achieve sustainable development.

The changes in the eco-environment resulting from urban expansion involve studies at different scales. For local and regional scales, changes in biodiversity and ecosystem service value will be focused on; at a larger global scale, it is necessary to consider impacts on global food security, human well-being, climate change, and so on. The monitoring and research on the changes in the eco-environment in the city is an important aspect to understand the rationality of urban expansion. The comparative analysis of different countries and regions is conducive to excavating the rationality of urban expansion and the protection of the eco-environment. With the help of remote sensing technology, urban expansion and changes in the eco-environment can be monitored at a large scale, providing an effective technical means for comprehensive multi-scale research.

As a result, this Special Issue aims to present the latest advances in remote sensing estimation and applications of urban land expansion and eco-environmental consequences. Topics of interest include, but are not limited to:

• Applications of new generations and high-resolution remote sensing data in urban expansion;
• Determination of the boundaries of urban expansion based on remote sensing images;
• Environmental change monitoring in suburban areas;
• Machine learning for long-term and high-resolution urban expansion;
• Urban expansion and eco-environment change monitoring based on different remote sensing data (e.g., high-resolution, night-time light, InSAR);
• Interactions between urban expansion and eco-environment change at local, regional, and global scales.

Dr. Neema Simon Sumari
Dr. Gang Xu
Dr. Rui Xiao
Guest Editors

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