In recent years, aerial and satellite remote sensing has provided major advances in understanding the climate system and its changes, by quantifying processes and spatial-temporal states of the atmosphere, land, and oceans. For region development, remote sensing, especially the development of night light remote sensing, has provided great help for obtaining information on human activities on the surface. For example, its strong correlation with GDP data indicates that it is naturally suitable for research on regional development. For climate, it provides major advances in understanding climate system dynamics and its changes in the spatial-temporal states of land, oceans, and the general atmosphere. For example, vegetation controls the earth’s climate through evapotranspiration regulation and carbon sequestration. Remote sensing can provide a wide range of spatial-temporal data for vegetation monitoring. Remote sensing accurate temperature trends enable improvement in weather and climate forecasts.

It is worth noting that some scholars have introduced remote sensing technology and data into the study of economic and management disciplines such as regional development and climate change. It mainly involves regional (city) economic activities, surface vegetation/crop changes monitored by remote sensing, tourism development (assessment and development of scenic spots), the distribution and diffusion of pollutants, temperature distribution and changes, etc.

This Special Issue will collect original research and review articles on remote sensing data acquisition and technology development, empirical methods of remote sensing data, and the combination of remote sensing technology with regional economic development and climate change. Therefore, the purpose of this Special Issue is to promote the application of high-quality remote sensing data in academia, thereby promoting the further development of the remote sensing industry.

Potential topics include but are not limited to the following:

• Frontier technology and development of remote sensing
• Consolidation of remote sensing data systems
• Urban structure and remote sensing data
• Monitoring of economic activities and economic development by remote sensing data
• Tracking of air pollution by remote sensing data
• Using remote sensing data to monitor and predict climate change
• The synergy between economic development and climate change
• System dynamics model of economic development and climate change
• Urban governance and public policy
• The guiding role of the application of remote sensing data in government economic and climate policies