PAIR Distinguished Lecture Series: Geo-spatial Information for Local SDGs Monitoring

A systematic follow-up and review through indicators-based tracking and reporting of the progress towards 2030 Sustainable Development Goals (SDGs) through integration of statistical and geo-information is a challenging task and hot topic for both governmental agencies and scientific communities.

This presentation will present an United Nation recognized good practice on geospatial information-enabled SDGs monitoring, which demonstrates how the overall SDGs progress at a local context can be well measured through developing a set of indicator-based, data driven and evidence-supported approached with a geographic perspective, and establishing a cooperative partnership among all stakeholders to mobilize resources. The follow-up and review results provided not only an overall picture about how far the study area is from the 2030 SDGs, but also helped the local government to formulate a five-year action plan to address the identified gaps and challenges with tangible actions and allocated resources.

Although geo-spatial information played a critical and irreplaceable role, the current 2-2.5 D data used had demonstrated some limitations. More reliable data and automatic techniques remain to be developed. This presentation further presents China’s national program on the development of 3d Realistic Geospatial Landscape Model (3dRGLm), which is a new generation geospatial data product with 3D structures, realistic scenes, and geospatial entities.