1.
Masó, Joan
OGC Cloud Optimized GeoTIFF Standard Technical Report
2023.
Abstract | Links | BibTeX | Tags: cloud optimised, GeoTIFF
@techreport{nokey,
title = {OGC Cloud Optimized GeoTIFF Standard},
author = {Joan Masó},
url = {https://docs.ogc.org/is/21-026/21-026.html },
year = {2023},
date = {2023-07-14},
urldate = {2023-07-14},
journal = {OGC Cloud Optimized GeoTIFF Standard},
abstract = {The Cloud Optimized GeoTIFF (COG) relies on two characteristics of the TIFF v6 format (tiles and reduced resolution subfiles), GeoTIFF keys for georeference, and the HTTP range, which allows for efficient downloading of parts of imagery and grid coverage data on the web and to make fast data visualization of TIFF or BigTIFF files and fast geospatial processing workflows possible. COG-aware applications can download only the information they need to visualize or process the data on the web. Numerous remote sensing datasets are available in cloud storage facilities that can benefit from optimized visualization and processing. This standard formalizes the requirements for a TIFF file to become a COG file and for the HTTP server to make COG files available in a fast fashion on the web.
The key work for crafting this OGC Standard was undertaken in the Open-Earth-Monitor Cyberinfrastructure (OEMC) project, which received funding from the European Union’s Horizon Europe research and innovation program under grant agreement number 101059548 and in the All Data 4 Green Deal - An Integrated, FAIR Approach for the Common European Data Space (AD4GD) project, which received funding from the European Union’s Horizon Europe research and innovation program under grant agreement number 101061001.},
keywords = {cloud optimised, GeoTIFF},
pubstate = {published},
tppubtype = {techreport}
}
The Cloud Optimized GeoTIFF (COG) relies on two characteristics of the TIFF v6 format (tiles and reduced resolution subfiles), GeoTIFF keys for georeference, and the HTTP range, which allows for efficient downloading of parts of imagery and grid coverage data on the web and to make fast data visualization of TIFF or BigTIFF files and fast geospatial processing workflows possible. COG-aware applications can download only the information they need to visualize or process the data on the web. Numerous remote sensing datasets are available in cloud storage facilities that can benefit from optimized visualization and processing. This standard formalizes the requirements for a TIFF file to become a COG file and for the HTTP server to make COG files available in a fast fashion on the web.
The key work for crafting this OGC Standard was undertaken in the Open-Earth-Monitor Cyberinfrastructure (OEMC) project, which received funding from the European Union’s Horizon Europe research and innovation program under grant agreement number 101059548 and in the All Data 4 Green Deal - An Integrated, FAIR Approach for the Common European Data Space (AD4GD) project, which received funding from the European Union’s Horizon Europe research and innovation program under grant agreement number 101061001.
The key work for crafting this OGC Standard was undertaken in the Open-Earth-Monitor Cyberinfrastructure (OEMC) project, which received funding from the European Union’s Horizon Europe research and innovation program under grant agreement number 101059548 and in the All Data 4 Green Deal - An Integrated, FAIR Approach for the Common European Data Space (AD4GD) project, which received funding from the European Union’s Horizon Europe research and innovation program under grant agreement number 101061001.