The China Sustainability Intelligence Observatory (CSIO) is a data center housed in the Department of Geography & The International Research Center for China Development Studies at The University of Hong Kong (HKU). CSIO develops, integrates, and disseminates high-quality environmental, social, and economic datasets for China and beyond, with a focus on analysis-ready geospatial data that support research, policy, and education in sustainable development.
CSIO builds on the Department’s longstanding experience in generating satellite-based information products, including the Global LAnd Surface Satellite (GLASS) product suite, which is distributed via the GLASS portal at www.glass.hku.hk
And the Hi-resolution GLASS (Hi-GLASS) products suite.
The Observatory aggregates information from satellite observations, model simulations, in-situ measurements, and processed data using statistical and physical methods. The resulting Analysis Ready Data (ARD) products are openly distributed to the public and directly serve as core data infrastructure for:

The International Research Center for China Development Studies (ICCDS) at HKU

The Department’s teaching programs, including the
Master of Science in Geospatial Data Science (GeoDS)
(https://www.geods.hku.hk) and the undergraduate
Second Major/Minor in Geospatial Data Science
(https://geog.hku.hk/second-major-minor-in-geospatial-data-science)
The Department of Geography at HKU is internationally recognized as one of the world’s leading geography and remote sensing programs. In 2025, it was ranked 10th globally in Geography by the QS World University Rankings by Subject and 14th globally in Geography by ShanghaiRanking’s Global Ranking of Academic Subjects. The Remote Sensing program at HKU was ranked 11th globally by ShanghaiRanking. Both the Geography program and the Remote Sensing program are ranked #1 in Hong Kong.
By establishing CSIO, the Department further strengthens its data infrastructure, research capacity, and teaching resources, thereby enhancing the international reputation and impact of both its Geography and Remote Sensing programs.


