OTB-Users-Day-2018.md

@@ -42,7 +42,7 @@ The morning session will be dedicated to short talks from users and contributors
 
 > Monitoring vegetation dynamics in nature reserves requires accurate mapping of habitats. In August 2017, we used a drone to acquire LAS images and high-resolution (2cm)orthophotos on islands of nature reserve of St-Mesmin along the Loire river. At the same time, we mapped habitats based on vegetation sampling every 15 m and the phytosociological nomenclature published by the Botanical Conservatory of the Paris Basin. The OTB workflow allowed us to map 9 vegetation types but with an overall kappa of 0.60 only. If the results were satisfactory for the differents ripparian forest types (min F-score = 0.70) , the various tools tested under OTB failed to correctly classify open areas as reed-bed (F-score = 0.31) and grassland (F-score = 0.18). Two hypotheses can explain this problem: the low accuracy of the field GPS data and some subjectivity in the interpretation of the phytosociological nomenclature.  
 
-* **[CONFIRMED]** Deforestation map in French Guyana, using Sentinel-1 and OTB through QGIS scripts.
+* **[CONFIRMED]** Deforestation map in French Guyana, using Sentinel-1 and OTB through QGIS scripts (Cedric Lardeux - ONFI)
 
 > Included in the Guiana Shield ecosystem which is one of the largest blocks of intact tropical forest worldwide, French Guiana play a critical role in mitigating climate change, preserving biodiversity and regulating water of the Amazon basin. Under low pressure in the past, degradation of this fragile ecosystem is growing, especially driven by gold mining activities or illegal agricultural activities.
 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.
@@ -52,7 +52,12 @@ This open source tool box is mainly based on Orfeo ToolBox for Sentinel-1 pre-pr
 
 ## 10:50 - 12:30 : Talks Part 2
 (*all talks must be confirmed*)
-* Testing OTB's Image Segmentation methods
+
+* **[CONFIRMED]** OTB Classification Confidence Map and Thematic Use on Land Change Characterization (Amélie Lombard - CEREMA)
+
+> 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.
+ 
 * Classification of tree species from MODIS & Sentinel-2 temporal series.
 * Maps of burning areas
 * Developing OTB applications to extract biophysical parameters from time-series.