12-17, 09:30–09:45 (Asia/Bangkok), Room34-1102
The SpatioTemporal Asset Catalog (STAC) revolutionizes geospatial applications by providing a standardized framework for cataloging spatiotemporal data. Developed in 2017 through a collaborative effort among various organizations, STAC streamlines the discovery and retrieval of geospatial assets, making it easier for users to access satellite imagery and other spatial data. This open-source specification, which aligns with FAIR principles—Findable, Accessible, Interoperable, and Reusable—promotes interoperability among various data providers and applications, fostering innovation in the geospatial community.
STAC's design allows for automated data retrieval through the STAC API, making it especially useful for applications in environmental monitoring, disaster management, and urban planning. Its JSON-based structure enhances user accessibility, allowing developers to quickly integrate geospatial data into their workflows. Furthermore, STAC's extensibility ensures it can adapt to a wide range of geospatial data types, from remote sensing to 3D point clouds.
The benefits of STAC go beyond theoretical applications. In Thailand, STAC is applied to the GISTDA Decision Support System for Disaster Management Platform. On this platform, STAC catalogs vector data related to flooding areas, thermal activities, and drought indices. As a result, the implemented application can efficiently browse and retrieve data from the STAC catalog, enhancing data retrieval speed and user experience.
As the geospatial landscape continues to evolve, STAC stands out as a remarkable tool for driving innovation, enabling seamless data sharing, and empowering users to harness the full potential of geospatial technologies in addressing complex global challenges.
Geospatial data, like spatial temporal assets, is a valuable asset for various domains, yet its potential is often hindered by challenges in discovery, access, and interoperability. The SpatioTemporal Asset Catalog (STAC) offers a standardized approach to address these limitations. This presentation will introduce STAC as a framework for describing geospatial data, emphasizing its role in enhancing data findability, accessibility, and usability. By aligning with FAIR principles, STAC facilitates data integration, analysis, and decision-making. A practical demonstration of a STAC catalog and a case study on the GISTDA Disaster Platform will highlight the transformative impact of STAC on geospatial workflows.
