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UID:pretalx-foss4g-2022-GPPKXW@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T100000
DTEND;TZID=CET:20220825T103000
DESCRIPTION:## Abstract\n\n[pygeofilter](https://github.com/geopython/pygeo
 filter/) is a library to support the integration of geospatial filters. It
  is split into frontend language parsers (CQL 1 + 2 text/JSON\, JFE\, FES)
  \, a common Abstract Syntax Tree (AST) representation and several backend
 s (database systems) where the parsed filters can be integrated into queri
 es.\n\n## Parsers\n\nCurrently pygeofilter supports CQL 1\, CQL 2 in both 
 text and JSON encoding\, OGC filter encoding specification (FES) and JSON 
 filter expressions (JFE) as input languages. Additionally pygeofilter prov
 ides utilities to help create parsers for new filter languages.\nThe filte
 rs are parsed to an AST representation\, which is a common denominator acr
 oss all filter capabilities including logical and arithmetic operators\, g
 eospatial comparisons\, temporal filters and property lookups. An AST can 
 also be easily created via the API\, if necessary.\n\n## Backends\n\npygeo
 filter provides several backends and helpers to roll your own. Built-in ba
 ckends are for Django\, SQLAlchemy\, raw SQL\, (Geo)Pandas dataframes\, an
 d native Python lists of dicts or objects.\n\n## Usage\n\npygeofilter is u
 sed in several applications\, such as [PyCSW](https://pycsw.org/)\, [EOxSe
 rver](https://github.com/EOxServer/eoxserver/) and [ogc-api-fast-features]
 (https://github.com/microsoft/ogc-api-fast-features/)
DTSTAMP:20260403T193005Z
LOCATION:Room Onice
SUMMARY:pygeofilter: geospatial filtering made easy - Fabian Schindler-Stra
 uss
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/GPPKXW/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-foss4g-2022-JDGNJD@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T151500
DTEND;TZID=CET:20220825T154500
DESCRIPTION:To enable sustainable and impactful Open Science in the long-te
 rm\, ESA Earth Observation looks to design and implement a comprehensive O
 pen Science framework\, which includes a dedicated set of integrated tools
  and common practices for effective scientific data management\, seeking t
 o support Open Innovation\, advance Science and increase community partici
 pation. The framework will build on and advance existing Open Science elem
 ents and will develop new capabilities to achieve the ambitions and vision
  set forth in the 2025 Agenda\, supporting the European Green Deal. The fo
 ur main pillars of the initiative are: i) EO Digital Platforms\, interoper
 ability and standardisation\, ii) Accessible and Reproducible EO Science\,
  iii) Inclusive and collaborative research and iv) Strategic Partnerships.
  Contributing to the second pillar\, ESA is developing an EO Open Science 
 Catalogue tool to enhance the discoverability and use of products\, data a
 nd knowledge resulting from Scientific Earth Observation exploitation stud
 ies. Adhering by design to the "FAIR" (findable\, accessible\, interoperab
 le\, reproducible/reusable) principles\, the Open Science Catalogue aims t
 o support better knowledge discovery and innovation\, and facilitate data 
 and knowledge integration and reuse by the scientific community. \n\nThe O
 pen Science Catalogue is based upon the [EO Exploitation Platform Common A
 rchitecture](https://eo4society.esa.int/2022/01/26/interoperability-sharin
 g-your-application-where-the-data-sit/) (EOEPCA) and shares its basic Open
  Source components\, but extends it with additional functionalities:\n - T
 he Static Catalogue is a hosted STAC Catalogue\, comprised of static Catal
 ogue\, Collection\, and Items that represent the Themes\, Variables\, Proj
 ects\, and Products\n - The Open Science Catalogue Frontend is a Vue.js ba
 sed client application\, that allows the efficient browsing of the Open Sc
 ience Catalogue\n - The Backend API allows users to make submissions to cr
 eate\, update\, and delete Themes\, Variables\, Projects\, and Products. T
 hese submissions are then handled as GitHub Pull Requests\, where they can
  be further reviewed\, discussed\, and finally accepted or denied.\n\nThe 
 Open Science Catalog makes use of various geospatial Open Source technolog
 ies such as pycsw\, PySTAC\, and OpenLayers.\n\nIn this presentation we wi
 ll review the EO Open Science Catalogue architecture\, technology stack\, 
 and how this tool can be used to discover and publish Earth System Science
  products from ESA activities. We'll also look at future evolutions of the
  product and how it contributes to the overall ESA EO Open Science Framewo
 rk.
DTSTAMP:20260403T193005Z
LOCATION:Auditorium
SUMMARY:EO Open Science Catalogue initiative by ESA - Stephan Meißl\, Fabi
 an Schindler-Strauss
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/JDGNJD/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-foss4g-2022-K8JQMZ@talks.staging.osgeo.org
DTSTART;TZID=CET:20220826T151500
DTEND;TZID=CET:20220826T154500
DESCRIPTION:geotiff.js is a reusable library to abstract remote (Geo)TIFF f
 iles. With it\, both rich visualization frontends or statistical or data a
 ccess services can be implemented\, as it is possible to inspect the geosp
 atial metadata and the full spectrum raster values of the original data\, 
 instead of only 8-bit RGB(A).\n\nDue to its file abstractions\, it is poss
 ible to only read the relevant portions of a file\, thus greatly reducing 
 bandwidth and response times. This effect can be further increased when re
 ading Cloud Optimized GeoTIFF (COG) files.\n\nThe library tries to be as f
 eature complete as possible in terms of file layout\, raster cell values\,
  RGB transformation\, image data compression and metadata.\n\nThis talk wi
 ll detail the features of geotiff.js\, as well as its most recent addition
 s. Additionally\, it will shed light on the greater ecosystem of geospatia
 l libraries and applications where geotiff.js is embedded or building the 
 foundation of.
DTSTAMP:20260403T193005Z
LOCATION:Room Onice
SUMMARY:geotiff.js - efficient GeoTIFF exploration in the browser and serve
 r - Fabian Schindler-Strauss
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/K8JQMZ/
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