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......@@ -44,22 +44,22 @@ The morning session will be dedicated to short talks from users and contributors
## 09:00 - 09:30 : Welcome (Amphitheatre Louis Malassis)
* Introduction to OTB User Day 2018 (Rémi Cresson - IRSTEA)
* What's new in OTB ? Who is behind OTB? How to participate? (Manuel Grizonnet - CNES)
* [Introduction to OTB User Day 2018 (Rémi Cresson - IRSTEA)](uploads/475f039c088072a3f233360de0ba3fef/1-welcome.pdf)
* [What's new in OTB ? Who is behind OTB? How to participate?](uploads/90647cb4813680ab9d790d6b4efff9ee/2-whats_new_in_otb.pdf) (Manuel Grizonnet - CNES)
## 09:30 - 10:30 : Talks Part 1 (Amphitheatre Louis Malassis)
* Chairman: Yannick Tanguy (CNES)
* **[CONFIRMED]** Testing OTB's Segmentation methods (Agustin Lobo - ICTJA-CSIC)
* **[CONFIRMED]** [Testing OTB's Segmentation methods](uploads/45755e7d4fabf2b5d4613308f62bd244/3-alobo_otb2018.pdf) (Agustin Lobo - ICTJA-CSIC)
> Image segmentation partitions the image into patches that are internally consistent in terms of image properties. This is an important step in those (most common) cases in which landscape units of interest are configured by many non-uniform pixels and thus single-pixel properties are not sufficient to characterize a unit type. Segmentation becomes increasingly important as remotely sensed imagery becomes of increasing spatial resolution. In this presentation, after a brief introduction, I will focus on practical aspects of segmentation with OTB such as the impact of varying the different parameters involved in Mean-Shift based segmentation.
* **[CONFIRMED]** Automatic segmentation of Loire habitats: Example of the islands of the Mareaux-aux-Prés National Nature Reserve (Martin Hilaire - IRSTEA)
* **[CONFIRMED]** [Automatic segmentation of Loire habitats: Example of the islands of the Mareaux-aux-Prés National Nature Reserve](uploads/78e22aeedac66fc798ebfb0e1ff248fb/4-diapo151018-compressed.pdf) (Martin Hilaire - IRSTEA)
> 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 different riparian 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 (Cedric Lardeux - ONFI)
* **[CONFIRMED]** [Deforestation map in French Guyana, using Sentinel-1 and OTB through QGIS scripts](uploads/b61ed690ced6b1f304ed5521114d4bcf/5-OTB_User_Day-ONFInternational_Sentinel1DeforestationMonitoring.pdf) (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.
......@@ -73,23 +73,24 @@ This open source tool box is mainly based on Orfeo ToolBox for Sentinel-1 pre-pr
* Chairman: Julien Michel (CNES)
* **[CONFIRMED]** ZOO-Project: the way to use OTB applications as WPS services (Gérald Fenoy - Geolabs)
* **[CONFIRMED]** [ZOO-Project: the way to use OTB applications as WPS services](uploads/5b07fdbd69d128b4c161bf5e86a7475b/6-otbday-compressed.pdf) (Gérald Fenoy - Geolabs)
> The ZOO-Project is an open source software which provides a Web Processing Service (WPS) compliant and developer-friendly framework to easily create and chain Open Geospatial Consortium (OGC) Webservices. It supports both 1.0.0 and 2.0.0 versions of the OGC specification. It can handle execution of WPS Services implemented in various programming languages and can also take advantages of various processing engine such as OrfeoToolBox (OTB). Using this ZOO-Project support gives users the capacity to use OTB applications remotely from any WPS client. The presentation will quickly introduce the specific capabilities of the ZOO-Project such as automatic publication of result using OGC Web Services through MapServer and how this can used when using OTB applications as WPS services. Also the current development status of the High Performance Computing (HPC) support in the ZOO-Project will be presented. With this support, one will be able to not only to execute OTB applications that runs locally to the WPS Server but also invoke OTB applications that will run on HPC server.
* **[CONFIRMED]** OTB Classification Confidence Map and Thematic Use on Land Change Characterization (Amélie Lombard - CEREMA)
* **[CONFIRMED]** [OTB Classification Confidence Map and Thematic Use on Land Change Characterization](uploads/774294e7340c9715f3cadce929eb6073/7-Cerema_ConfidenceMap_OTB_v1.pdf) (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.
* **[CONFIRMED]** Classification of tree species from MODIS temporal series (Jean-Philippe Denux, DYNAFOR)
* **[CONFIRMED]** [Classification of tree species from MODIS temporal series](uploads/00ff0cb06870cb3575bebb93b2b216b0/8-Otb_users_day_2018__JP_Denux.pdf) (Jean-Philippe Denux, DYNAFOR)
> Time series of remote sensing images can be used to produce homogeneous and up-to-date landcover maps. We used Orfeo ToolBox to test whether MODIS time series can be classified using a detailed nomenclature alike national forest inventories nomenclatures. To identify best practices for classifying time series, three algorithms were compared: Maximum Likelihood, Support Vector Machine and Random Forest. For each algorithm, we optimized training, temporal compositing and selection of input features. Our results showed a clear improvement in classification accuracy when spectral bands were used instead of vegetation indices alone. Temporal compositing had a major impact when the whole phenological cycle was used for three consecutive years. Random Forest produced the best classification.
* **[CONFIRMED]** Differential SAR Interferometry in OTB (Usseglio Gaelle - THALES SERVICES)
* **[CONFIRMED]** [Differential SAR Interferometry in OTB](uploads/f0dd2ac242e7a33293c5e4979279be94/9-OTBUsersDay_gaelle.pdf) (Usseglio Gaelle - THALES SERVICES)
> 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.
* **[CONFIRMED]** GeoStorm on EO IPT Poland: a private initiative to provide EO adding value data in a geospatial platform (Mickael Savinaud - CS)
* **[CONFIRMED]** [GeoStorm on EO IPT Poland: a private initiative to provide EO adding value data in a geospatial platform](uploads/0b40e7d6449732141b81c099e02b1c53/10-20181019-GeoStormIPTPoland.pdf) (Mickael Savinaud - CS)
> GeoStorm is a geospatial platform developed by CS SI since several years to handle various types of data from satellite, GIS database, IoT network or social network and performs analytics on them. It was instantiated on the Earth Observation Innovative Platform Testbed Poland (EO IPT Poland). CS SI has try to integrate in this platform a set of open source processing from Orfeo ToolBox, SNAP Toolbox and Sentinel-2 For Agriculture and Theia expertise centers. We will present in this presentation the feedback of this experience.
## 12:20 - 13:30 : Lunch
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