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UID:pretalx-foss4g-2022-DZZCTY@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T120000
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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:20260404T140134Z
LOCATION:Room Verde
SUMMARY:OTB integration in operational processing chains - JulienOsman\, Ju
 lie Brossard
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/DZZCTY/
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