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UID:pretalx-qgis-uc2024-9HPZUQ@talks.staging.osgeo.org
DTSTART;TZID=CET:20240910T090000
DTEND;TZID=CET:20240910T103000
DESCRIPTION:This workshop will introduce participants to the modern approac
 h to working with large datasets in QGIS. Modern data formats - such as Cl
 oud-Optimized GeoTIFFs (COG)\, Cloud-Optimized Point Clouds (COPC)\, and F
 latGeoBuf (FGB) allow datasets to be streamed from cloud storage without h
 aving to download entire files. Spatial Temporal Asset Catalog (STAC) prov
 ides a standardized way to query cloud-hosted datasets. Combined with QGIS
 \, these technologies allow users to visualize and analyze large datasets 
 which was not possible before. \n\nParticipants of this workshop will lear
 n how to perform analysis on large global datasets with built-in QGIS func
 tionality that smartly streams only the required data and uses local compu
 tation avoiding expensive server costs. You will perform Zonal Statistics 
 on a global population raster and compute the population in your chosen re
 gion in just a few seconds. Working with a STAC API Catalog\, you will loa
 d a global landcover data and perform a landcover change analysis to find 
 lost surface water without incurring any cloud computation cost. \n\nCome 
 and learn the modern computing paradigm that is set to transform how we wo
 rk with geospatial data.
DTSTAMP:20260413T165547Z
LOCATION:B308
SUMMARY:Cloud Native Geospatial Workflows with QGIS - Ujaval Gandhi
URL:https://talks.staging.osgeo.org/qgis-uc2024/talk/9HPZUQ/
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