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UID:pretalx-foss4g-europe-2026-PXCHPM@talks.osgeo.org
DTSTART;TZID=EET:20260629T123000
DTEND;TZID=EET:20260629T130000
DESCRIPTION:Over the past years\, mapchete has evolved from a tile-based ra
 ster and vector processing library into a modular ecosystem for building a
 nd operating large-scale geospatial data processing pipelines. Previous pr
 esentations at FOSS4G focused on the core package and touching scalable pr
 ocessing patterns using dask and mapchete.\n\nThis talk presents the next 
 step: the open source publication of additional components developed in a 
 production context\, including mapchete EO\, mapchete Hub\, and mapchete H
 ub CLI. These packages extend mapchete's core processing model towards Ear
 th Observation (EO) use cases and distributed execution\, with a focus on 
 reproducibility\, scalability\, and a variety of (pre)processesing capabil
 ities relevant for EO.\n\nmapchete EO provides higher-level primitives for
  working with satellite imagery (primarily Sentinel-2)\, including typical
  preprocessing steps such as cloud masking\, BRDF correction\, and tempora
 l compositing. These components are derived from operational pipelines use
 d in the EOxCloudles (cloudless.eox.at) product line\, where consistent la
 rge-scale processing and data quality constraints are critical.\n\nmapchet
 e Hub introduces a service layer for orchestrating distributed processing 
 of mapchete tasks. Processing jobs can be submitted\, scheduled\, and moni
 tored via an API. The API design is oriented towards the OGC API - Process
 es standard\, aligning mapchete-based workflows with emerging interoperabl
 e interfaces in the geospatial ecosystem. The accompanying CLI (mapchete h
 ub CLI) provides a minimal interface for interacting with this system with
 out requiring custom integration.\n\nIn addition to the software component
 s\, the talk covers recent changes in packaging and distribution. All pack
 ages are now published via both PyPI and Conda\, and container images are 
 provided through GitHub Container Registry. All packages were moved to a d
 edicated mapchete organization.
DTSTAMP:20260604T234143Z
LOCATION:A13
SUMMARY:From Tile-Based Processing to Distributed Execution: Extending the 
 mapchete stack - Joachim Ungar
URL:https://talks.osgeo.org/foss4g-europe-2026/talk/PXCHPM/
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UID:pretalx-foss4g-europe-2026-FZYGGU@talks.osgeo.org
DTSTART;TZID=EET:20260630T113000
DTEND;TZID=EET:20260630T120000
DESCRIPTION:mapchete EO extends mapchete with abstractions and utilities to
  read from Earth Observation (EO) archives\, with a primary focus on Senti
 nel-2 data. While mapchete provides a tile-based execution model for raste
 r and vector processing\, mapchete EO enables reading multidimensional arr
 ays (time series) from well known data archives.\n\nClass-based abstractio
 ns for handling Sentinel-2 products were engineered to also enable usage o
 utside of the mapchete context. They provide a unified interface to variou
 s data and metadata archives to automatically mask data using all availabl
 e metadata masks (SCL\, L1C\, etc.) as well as to apply BRDF correction wh
 ile reading the datza.\n\nThe second part of the talk focuses on operation
 al experience from processing Sentinel-2 data at global scale for the EOxC
 loudless product line. At this scale\, the system has to have multiple lay
 ers of fallbacks and retries in order to accomodate I/O related and tempor
 ary failures.\n\nAdditional challenges arise when processing data across t
 he antimeridian\, where data coverage is not consistent between various ar
 chives. These edge cases expose limitations that are not apparent in small
 er-scale workflows and require careful handling within global processing p
 ipelines.\n\nThe presentation will outline these challenges and discuss th
 eir implications for the design of robust\, large-scale Sentinel-2 process
 ing pipelines within an open source framework.
DTSTAMP:20260604T234143Z
LOCATION:A12
SUMMARY:mapchete EO: Abstractions for Sentinel-2 Data Access and Processing
  - Joachim Ungar
URL:https://talks.osgeo.org/foss4g-europe-2026/talk/FZYGGU/
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