{"version":"1.0","type":"card","id":"339e17fa-4980-43ba-84e2-c04c9d172022","url":"https://stacklist.com/card/339e17fa-4980-43ba-84e2-c04c9d172022","title":"Cloud Optimized GeoTIFF in depth","source_url":"https://cogeo.org/in-depth.html","note":"Dive into the world of Cloud Optimized GeoTIFF, a powerful format for storing and serving large geospatial datasets.","image":{"url":"https://ucarecdn.com/a5f47e3d-3f98-448b-bbf0-3bcc5b155726/","alt":"Cloud Optimized GeoTIFF in depth","width":1200,"height":630},"stack":{"id":"605a4e8e-8399-4e66-a70a-5b29f7ea1924","title":"Geospatial Data Science","url":"https://stacklist.com/stack/605a4e8e-8399-4e66-a70a-5b29f7ea1924"},"created_at":"2025-03-05T13:09:13.913Z","updated_at":null,"aco":{"summary":"This website provides a technical overview of Cloud Optimized GeoTIFF (COG) technology. It explains how COG utilizes GeoTIFF's ability to organize pixel data and HTTP GET range requests to enable efficient access and processing of geospatial imagery in cloud environments. The key features of COG are tiling, overviews, and compression, which allow for selective retrieval of data based on specific needs. The website also emphasizes the importance of community involvement and encourages users to contribute to the project on GitHub. \n","tags":[],"key_entities":[],"classification":null,"language":null,"confidence":null,"provenance":null,"token_counts":{"approximate":145},"content_hash":null,"acp_version":"0.2","body_available":false,"body_tokens":0,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/339e17fa-4980-43ba-84e2-c04c9d172022.json","html":"https://stacklist.com/card/339e17fa-4980-43ba-84e2-c04c9d172022","md":"/api/public/card/339e17fa-4980-43ba-84e2-c04c9d172022.md","stack_json":"/api/public/stack/605a4e8e-8399-4e66-a70a-5b29f7ea1924.json"}}