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 7YL
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UID:pretalx-foss4g-2024-workshop-MRC7YL@talks.staging.osgeo.org
DTSTART;TZID=-03:20241202T140000
DTEND;TZID=-03:20241202T180000
DESCRIPTION:This workshop will address the data products and software tools
  of the Brazil Data Cube Platform (http://brazildatacube.org/). The Brazil
  Data Cube (BDC) project is producing more than 2 petabytes of Analysis-Re
 ad Data (ARD) and multidimensional data cubes of satellite images Landsat-
 8/-9\, Sentinel-2\, CBERS-4/-4A and Amazonia for the entire Brazilian terr
 itory. Besides that\, the BDC project is developing software tools to deal
  with big data sets\, to extract image time series from Earth observation 
 (EO) data cubes and to produce land use and land cover information using i
 mage time series and machine learning. \n\nThis workshop will address conc
 epts of EO data cubes and satellite image time series analysis as well as 
 promote hands-on activities using Python language for: (1) Discovering\, a
 ccessing and viewing EO data cubes\; (2) Extraction of satellite image tim
 e series from EO data cubes\; (3) Analysis of satellite image time series\
 ; and (4) Extraction of land use and land cover trajectories. All software
  tools of the BDC platform will be demonstrated: BDCExplorer\, TerraCollec
 t\, Satellite Image Time Series (SITS) R package and the web services\, Sp
 atioTemporal Asset Catalog (STAC)\, Web Time Series Service (WTSS) and  We
 b Land Trajectory Service (WLTS). \n\nThe main goal of the BDC is to suppo
 rt environmental monitoring\, land use and land cover applications\, agric
 ultural management\, and other applications that require consistent and te
 mporally structured EO satellite images and geospatial information. Image 
 time series extracted from EO data cubes improve our understanding of envi
 ronmental patterns and processes. Instead of selecting individual images f
 rom specific dates and comparing them\, researchers can track change conti
 nuously. Satellite image time series analysis captures subtle changes in e
 cosystems and improves the quality of land classification.\n\nBDC provides
  ARD and multidimensional data cubes of images from sensors onboard Landsa
 t-8\, Landsat-9\, Sentinel-2\, CBERS-4\, CBERS-4A and AMAZONIA-1 satellite
 s. Products like MOD13Q1 and MYD13Q1\, which are derived from TERRA/MODIS 
 and AQUA/MODIS satellite/sensor are also incorporated into BDC as data cub
 es. Using the same technologies to produce EO data cubes\, BDC also produc
 es Visualization Mosaics. BDC manages more than 2 petabytes of data\, whic
 h brings big data challenges. Thus\, the BDC platform also provides softwa
 re tools to efficiently deal with these big EO data sets. \n\nThe software
  tools of the BDC platform that will be presented in this workshop are: (1
 ) BDCExplorer: web portal to access\, visualize and download EO data cubes
  and extract image times series\; (2) TerraCollect: web application to col
 lect and analyze land use and land cover samples\, based on satellite imag
 e time series\; (3) Satellite Image Time Series (SITS) R package for land 
 use and land cover classification using satellite image times series and m
 achine learning\; and (4) Web services and R and Python clients. The web s
 ervices include: (1) Spatio Temporal Asset Catalog (STAC)\; Web Time Serie
 s Service (WTSS) to extract image time series from EO data cubes\; (3) Web
  Land Trajectory Service (WLTS) to extract land use and land cover traject
 ories from distinct data sets.
DTSTAMP:20260505T233320Z
LOCATION:Room Mangal das Garças (C Block)
SUMMARY:Brazil Data Cube Platform: Earth observation data cubes and satelli
 te image time series analysis - Karine Ferreira\, Rennan F. B. Marujo\, Ba
 ggio Luiz de Castro e Silva\, Gabriel Sansigolo
URL:https://talks.staging.osgeo.org/foss4g-2024-workshop/talk/MRC7YL/
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