Earlier this week in COG Talk 4 we talked about doing large scale processing using Cloud Optimized GeoTIFF and mosaicJSON. Here is another example of how to create simple visualization tools when you store the data as Cloud Optimized GeoTIFF. — Data For Good: High Resolution Population Density Maps Ref: https://registry.opendata.aws/dataforgood-fb-hrsl/ Format: .TIFF (Cloud Optimized GeoTIFF) The dataset is formed of 294 Cloud Optimized GeoTIFF, representing six different variables stored in separate file.

Another example of large scale mosaicJSON — Earlier this week in COG Talk 4 we shared how to do large scale processing using Cloud Optimized GeoTIFF and mosaicJSON. Here is another example of how to create simple visualization tools when you store the data as Cloud Optimized GeoTIFF. Montreal LIDAR dataset Ref: http://donnees.ville.montreal.qc.ca/dataset/lidar-aerien-2015 Format: .LAZ (Point Cloud)

This blog is the fourth in a series called COG Talk, which looks at ways to use Cloud Optimized GeoTIFFs to efficiently render and analyze planetary data at massive scale. After a refresh of what COGs are in Part 1, the introduction of mosaics in Part 2, and a fun experiment in Part 3, today we are going to see how COGs can be useful for large scale spatio-temporal dataset. Cloud Optimized GeoTIFFs (COGs)

Today we’re releasing rio-tiler-mvt, a rio-tiler plugin to create Mapbox Vector Tiles from Cloud-Optimized GeoTIFFs (COGs). It enables better dynamic web map visualizations especially for sparse datasets stored. This is the result of recent work where we had the need to visualize LiDAR data in-browser. We experimented with generating our visualizations on-the-fly by generating vector data directly from the source Cloud-Optimized GeoTIFFs (COGs). While the initial approach felt clumsy at the time, we’ve since polished it up into a proper plugin with impressive performance.

This blog is the second in a series called COG Talk, which looks at ways to use Cloud Optimized GeoTIFF, and why we use them. — The first post is a refresh on the COG format and announces the release of version 1.0.0 of rio-tiler and rio-cogeo. Here, we’ll see how we can use them to build mosaics for web maps. COG vs Map Tiles Cloud Optimized GeoTIFF files, as the name implies, are specifically designed for easily accessing remote…

This blog is the first in a series called COG Talk, which looks at ways to use Cloud Optimized GeoTIFF, and why we use them. — For more than a year, we’ve been working on building out a suite of tools to make Cloud Optimized GeoTIFFs (COGs) easy to work with. Today we are excited to announce we are releasing version 1 of rio-tiler and rio-cogeo 🎂! Both modules are: well tested actively maintained

Note: This post was originally called: `The Ultimate data format` In this post we will focus on Cloud Optimized GeoTIFF and other formats used by public dataset (AWS pds, Digitalglobe Opendata, …). This post is mostly a brain dump of some though and knowledge I needed to share since the…