OTB-Users-Day-2018.md

@@ -47,10 +47,6 @@ The morning session will be dedicated to short talks from users and contributors
 In this context and for a project provided by the french forest national office (ONF), in order to deliver a near real tile deforestation monitoring process, we develop a set of tools allowing to monitor deforestation using Sentinel-1 data. The main process of the approach are (i) Calibration and Orthorectification over user study area (shape file), (ii) Temporal Adaptive speckle filtering, (iii) Adjust time series level and smooth it, (iv) Deforestation analysis. Deforestation analysis is based on applying a threshold of the differences between a reference date (usually the oldest date) to the current date. If this change is significant we expect a deforestation process and give the current date as deforested label in the deforestation map.
 This open source tool box is mainly based on Orfeo ToolBox for Sentinel-1 pre-processing and is based on specific python script. All the toolbox is integrated in QGIS and available in a QGIS RemoteSensing toolbox for windows or using the following for Ubuntu users https://gitlab.com/clardeux/FOSS4G-fr-2018-Atelier-Radar.
 
-* **[CONFIRMED]** Differential SAR Interferometry in OTB (Usseglio Gaelle - THALES SERVICES)
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-> The differential SAR interferometry (DInSAR) technique relies on the processing of two SAR images of the same portion of the Earth's surface taken at different time. The aim is to analyze potential events (earthquake, destruction, ...) by highlighting differences between SAR images. DInSAR involves a set of tools such as creation of deformation grids , coregistration or building of interferograms. An Orfeo Toolbox remote module (DiapOTB) contains all necessary steps and allows to launch a complete DInSAR chain. The DiapOTB module were used with Sentinel-1 data with satisfactory results.
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 ## 10:30 - 10:50 : Coffee break
 
 ## 10:50 - 12:30 : Talks Part 2
@@ -60,6 +56,10 @@ This open source tool box is mainly based on Orfeo ToolBox for Sentinel-1 pre-pr
 
 > For 5 years now, CEREMA's satellite team is engaged in designing a large scale land cover map by supervised classification coupled with specific database processing. In order to follow public policy in territorial planning, these maps over several acquisition dates are compared to detect land change and monitor the landscape. Because of uncertainty of each measurement, the comparison introduces a lot of over-detection. These differences have to be filtered to identify relevant ground change.
 > Since OTB's latest version offers a function to produce confidence map linked to classification, it has been tested to characterize difference areas. This experimentation shows how this map, representing classification algorithm capability, cannot directly be used as a quality layer and must be upgraded to become suitable for thematic users.
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+* **[CONFIRMED]** Differential SAR Interferometry in OTB (Usseglio Gaelle - THALES SERVICES)
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+> The differential SAR interferometry (DInSAR) technique relies on the processing of two SAR images of the same portion of the Earth's surface taken at different time. The aim is to analyze potential events (earthquake, destruction, ...) by highlighting differences between SAR images. DInSAR involves a set of tools such as creation of deformation grids , coregistration or building of interferograms. An Orfeo Toolbox remote module (DiapOTB) contains all necessary steps and allows to launch a complete DInSAR chain. The DiapOTB module were used with Sentinel-1 data with satisfactory results.
  
 * Classification of tree species from MODIS & Sentinel-2 temporal series.
 * Maps of burning areas