BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-2022//speaker//HNBRKL BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2022-DWHZKD@talks.staging.osgeo.org DTSTART;TZID=CET:20220825T113000 DTEND;TZID=CET:20220825T120000 DESCRIPTION:Orfeo Toolbox (OTB) is a free and open-source remote sensing so ftware. It is available on multiple platforms\, Linux\, Windows and MacOs\ , and was developed primarily by CNES (French Space Agency) and CS Group i n the frame of the development of the ORFEO program (French and Italian su pport program for Pleiades and Cosmo-Skymed). \n\nOTB can process large i mages thanks to its built-in streaming and multithreading mechanisms. Its data processing schema is primarily based on ITK pipelines\, and uses GDAL dependency to read and write raster and vector data. Many formats are sup ported by the library (at least those supported by GDAL) as CosmoSkyMed\, Formosat\, Ikonos\, Pleiades\, QuickBird\, Radarsat 2\, Sentinel 1\, Spot 5\, Spot 6/7\, TerraSarX or WorldView 2. \n\nOTB provides a lot of applic ations to process optical and SAR products: ortho-rectification\, calibrat ion\, pansharpening\, classification\, large-scale segmentation and more. The library is written in C++ but all the applications can also be accesse d from Python\, command line launcher\, QGIS and Monterverdi\, a powerful satellite image visualization tool bundled in the OTB packages capable of manipulating large images efficiently. \n\nThe library also facilitates ex ternal contributions thanks to the remote module functionality: users can add new applications without modifying the core of the library. If this ne w remote module is relevant\, it could be added as an official remote modu le\, like DiapOTB (differential SAR interferometric processing chain) and OTBTensorflow (multi-purpose deep learning framework\, targeting remote se nsing images processing). \n\nMoreover\, several operational image process ing chains are based on OTB: their algorithms use the framework of OTB App lications while the orchestration is written in python. Some of the chains are also open source: Let It Snow (Snow cover detection)\, iota2 (Large S cale Land Surface Classification)\, WASP (Multitemp images fusion)\, S1Til ing (Sentinel-1 calibration and MAJA (Maccs-Atcor Joint Algorithm). The Or feo Toolbox is also a part of the Sentinel 2 ground segment\, being integr ated in the S2 Instrument Processing Facility (IPF) module where it is use d for radiometric corrections and resampling. \n\nIn the latest releases ( from 7.x to 8.0)\, several features have been added as new SAR sensor mode ls and new applications\, and the OSSIM dependency - used for geometric se nsor modelling and metadata parsing – has been removed in favor of funct ionalities available in GDAL. The aim of the presentation is to present th e major features of OTB\, the latest updates\, the future features and arc hitecture of the library and how OTB is used at CNES and CS Group to proce ss data from scientific and developer points of view. DTSTAMP:20260404T222311Z LOCATION:Room Verde SUMMARY:Orfeo ToolBox: open source processing of remote sensing images - Ju lienOsman URL:https://talks.staging.osgeo.org/foss4g-2022/talk/DWHZKD/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-2022-DZZCTY@talks.staging.osgeo.org DTSTART;TZID=CET:20220825T120000 DTEND;TZID=CET:20220825T123000 DESCRIPTION:The Orfeo ToolBox is used as development framework for satellit e image processing over large dataset in several operational projects. Ind eed\, its image processing functionalities (multithreading\, streaming\, r am configuration) allow to process big images quite fast. The operational processing chains use OTB from the Python API and C++ API. \n\nAmong the optical chain processing using OTB\, we can list: MAJA\, WASP\, BIOPHY and IOTA2. MAJA (Maccs-Atcor Joint Algorithm) is an atmospheric correction an d cloud screening software\, based on multi temporal and multi-spectral pr ocessing. This chain uses L1C products to generate high quality L2A surfac e reflectance time series for Landsat8\, Venus\, and Sentinel 2 missions\, it is mainly used by THEIA distribution center. The core algorithms of Ma ja are based on the Orfeo Toolbox. To process a product\, the chain uses a erosol contents\, cloud and shadow detection and various atmospheric effec ts to estimate accurate surface reflectance values. The main problem of th e L2A products is the presence of clouds in time series which is why WASP was created. Indeed WASP (Weighted Average Synthesis Processor) delivers L 3 products which provide monthly syntheses of cloud-free reflectance for S entinel2 and Venus L2A products distributed by THEIA. This processor mainl y includes a directional correction to normalize data and a weighted avera ge of surface reflectance. Two other operational chains which uses OTB are BIOPHY - the goal of this processing chain is to create L2A products cont aining biophysical variables (FAPAR\, FCOVER\, LAI) related to the presenc e of vegetation in the image over a year – and IOTA2 - a soil occupation processor over a year of Sentinel1 and Sentinel2 data\, the algorithms us e the classification toolbox provided by OTB to process large areas\, to d etermine the areas covered by buildings. \n\nOrfeoToolBox is also used for radar processing chain\, like diapOTB or S1Tiling. S1TIling is a generic processing chain for Sentinel-1 time series developed with open-source sof tware. Its main goal is to produce time series of Analysis ready data S1 i mages for large areas. The algorithms are using the SAR processing toolbox from OTB to take profit of its in-memory pipelining capabilities. DiapOTB is a differential SAR interferometry processing. It uses two SAR images o f the same portion of the Earth’s surface taken at different time as inp ut and aims to analyze potential events (earthquake\, destruction …) by highlighting differences between SAR images. \n\nTo conclude\, OTB is the central framework for a large scale of operational chains in remote sensin g. Its genericity permits to cover a lot of use cases in one single tool. Note that it is also distributed in other projects like WorldCereal\, SNAP \, AI4GEO as toolbox or RUS as training and formation aim. DTSTAMP:20260404T222311Z LOCATION:Room Verde SUMMARY:OTB integration in operational processing chains - JulienOsman\, Ju lie Brossard URL:https://talks.staging.osgeo.org/foss4g-2022/talk/DZZCTY/ END:VEVENT END:VCALENDAR