500彩票网

This research is designed to conduct research and development of satellite-based socio-economic data on a global scale for data-driven decision making, especially for less documented regions and countries. Besides, the project applies data products to practical development projects through collaborations with international organizations. Several sub-projects are underway, such as global human settlement mapping, socio-economic monitoring using night-time light images, and post-disaster loss and damage estimation.

- Groups on Earth Observation (GEO) Working Groups on Global Urban Observation and Information; Global Human Settlement (GHS) Working Group

- Miyazaki, H., Nagai, M. and Shibasaki, R. (2016) 'An Automated Method for Time-Series Human Settlement Mapping using Landsat Data and Existing Land Cover Maps', in 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China.
- Guo, Z., Shao, X., Xu, Y., Miyazaki, H., Ohira, W. and Shibasaki, R. (2016) 'Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods', Remote Sensing, 8(4), 271.
- Miyazaki, H., Shao, X., Iwao, K. and Shibasaki, R. (2014) 'Development of a Global Built-Up Area Map Using ASTER Satellite Images and Existing GIS Data' in Global Urban Monitoring and Assessment through Earth ObservationCRC Press, 121-142.