Géoportail de la Wallonie

Les GéoDataDays, votre nouveau rendez-vous géomatique !

L'AFIGEO et DécryptaGéo s'associent à la Région Normandie, à la Communauté de l'agglomération havraise (CODAH), au Département de la Seine-Maritime et à la Coordination régionale de l'information géographique en Normandie (CRIGE Normandie) pour rassembler les acteurs de la géographie numérique autour de rencontres nationales inédites, au Havre, les 3 et 4 juillet 2018.

Supervised characterization of land cover and land use using optical time-series data
by Professor Matthew C. Hansen
University of Maryland, USA

Content
Algorithms, feature space, and training data elements of the supervised characterization of land cover and land use extent and change will be examined. Newer machine learning methods will be compared to traditional algorithms. Methods for deriving feature spaces derived from multi-temporal, multispectral data will be presented, as will be strategies for collecting training data. Validation will be emphasized, for both accuracy assessment and area estimation. Various applications will be illustrated, all with a focus on large area studies.

Bio
Prof. Matthew Hansen is a world’s leading remote sensing scientist with a research specialization in large area land cover and land use change mapping. His Global Land Analysis and Discovery lab (glad.umd.edu) is focused on developing
improved algorithms, data inputs and thematic outputs which enable the mapping of land cover change at regional, continental and global scales. Exhaustive mining of the Landsat archive has been used to map forest disturbance at the global scale (e.g. High-Resolution Global Maps of 21st-Century Forest Cover Change, Science, 2013). Improving global cropland monitoring capabilities is another research focus, leading to global soybean cultivated area estimation using MODIS, Landsat and RapidEye.

Admission and registration
Remote sensing basics are prerequisite to attend this summer course. The attendance to three full days is mandatory for all participants. The number of seats available is limited and the participants are invited to register at the earliest using the following form https://goo.gl/forms/riV03JyhVFM0OKHP2. No fee is required to attend the short course and sandwiches will be supplied at lunchtime. Participants cover their own travel and housing expenses, visa fees and pocket money. A certificate of attendance from the Université catholique de Louvain will be delivered to all participants attending the short course.

Organization and location
This short course is organized by the Research Lab in Environmetry and Geomatics (Pr. P. Defourny) with the support of Lifewatch-WB infrastructure and UCLouvain. The class is scheduled from 9:00 to 17:15 in the
SUD 01 auditorium located in Université catholique de Louvain’s premises in Croix du Sud, Louvain-la-Neuve (Parking 20 – Biéreau)

For more information: Ms A. Bellavia (aurelie.bellavia@uclouvain.be) or Mrs P. Thiran +32 10 47 36 81

Let's build a community with everybody interested in OpenStreetMap!

The target audience is everybody! From hearing the word OpenStreetMap a few seconds ago to the total expert in no time. There will be someone you can discuss and have a drink with we’re an interational community speaking English, Dutch, French so come join us!

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Les données DAO sont généralement utilisées dans des workflows en ingénierie et en aménagement. Lors de cette formation, vous apprendrez à visualiser les données DAO avec des ressources SIG dans ArcGIS, à les utiliser dans des processus de géotraitement et d’analyse et à les importer dans une géodatabase. Ce cours vous exposera les meilleures techniques pour convertir les données et supporter des workflows DAO/SIG. http://www.esribelux.com/download/training2018/overview%202018%20FR.pdf