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UID:pretalx-foss4g-2022-9RRYZM@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T110000
DTEND;TZID=CET:20220824T113000
DESCRIPTION:The SpatioTemporal Asset Catalog (STAC) specification is a comm
 on language for describing geospatial information that is flexible enough 
 to extend across domains and use cases. In this talk\, we walk through bes
 t practices for building STAC catalogs and using STAC extensions\, using r
 eal world examples. These best practices are informed by documentation\, c
 onversations with STAC contributors\, and discussions within the wider com
 munity. We survey the ecosystem of open-source STAC software\, which inclu
 des libraries and tools written in Python\, Node.js\, and more. We show ex
 amples of reading\, modifying\, and writing STAC catalogs with a selection
  of software\, including PySTAC and stactools\, and we show which metadata
  to include in your STAC objects to ensure interoperability with powerful 
 tools like xarray and pandas. Whether you are new to the STAC ecosystem or
  an experienced contributor\, this talk will provide you with the context 
 and tools you need to build your best STAC!
DTSTAMP:20260411T122639Z
LOCATION:Room Onice
SUMMARY:STAC Best Practices and Tools - Matthew Hanson\, Pete Gadomski
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/9RRYZM/
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UID:pretalx-foss4g-2022-FSK8U3@talks.staging.osgeo.org
DTSTART;TZID=CET:20220824T120000
DTEND;TZID=CET:20220824T123000
DESCRIPTION:The vision of “Cloud-Native Geospatial” is a new paradigm o
 f performing efficient computing and data access in the cloud in an intero
 perable way in order to achieve scalable and repeatable analysis of geospa
 tial data. The last few years have seen major developments in open standar
 ds and open software that are helping make this vision possible\, supporti
 ng full end to end interoperable workflows on remote sensing data\, from d
 ata discovery to publishing of interoperable derived products.\n\nThis tal
 k will present the current state of the Spatio Temporal Asset Catalog (STA
 C) specifications (stac-spec and stac-api-spec)\, updates in the published
  STAC extensions\, and the latest community developments around Analysis R
 eady Data (ARD). We will cover the landscape of current recommended cloud-
 optimized file formats\, for raster\, vector\, and point-cloud data format
 s (COG\, Zarr\, GeoParquet\, COPC). Finally\, we will provide recommendati
 ons for open-source client software to use to take advantage of the emergi
 ng geospatial clouds.
DTSTAMP:20260411T122639Z
LOCATION:Room Onice
SUMMARY:The State of Cloud-Native Geospatial - Matthew Hanson
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/FSK8U3/
END:VEVENT
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UID:pretalx-foss4g-2022-YPHAZB@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T153500
DTEND;TZID=CET:20220825T154000
DESCRIPTION:The term Analysis Ready Data started as a way to describe a Lan
 dsat product that would efficiently allow time-series based analysis by pr
 oviding a consistent\, grid and pixel-aligned product corrected to surface
 -based measurements. Since then it has come to mean a wide range of things
 \, but without a clear set of standards on how to characterize ARD there i
 s little to no interoperability among datasets that call themselves ARD.\n
 \nThe Analysis Ready Metadata initiative uses the SpatioTemporal Asset Cat
 alog (STAC) spec as the vehicle for describing well-characterized data. Th
 is goes beyond the basic geospatial and temporal characteristics captured 
 in the core STAC spec and into detail about the processing level of the da
 ta\, corrections that have been applied\, as well as spatial and measureme
 nt uncertainties.  Having well-characterized data through it’s STAC meta
 data enables discovery of usable data\, automated processing using interop
 erable workflows\, and tracking of data provenance of derived products.\n\
 nThe CEOS ARD (previously CARD4L) specifications require certain metadata 
 and processing to be done for it to be compliant and can use this STAC met
 adata to automatically assess the potential for a dataset to be compliant 
 with the needed requirements. This talk will cover elements of STAC\, ARD\
 , and the CARD4L family product specifications.
DTSTAMP:20260411T122639Z
LOCATION:Modulo 0
SUMMARY:Analysis Ready (Meta)Data - Matthew Hanson
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/YPHAZB/
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