Marc Poupée
Enseignant-chercheur en Télédétection at Ecole Nationale des Sciences Géographiques- Claim this Profile
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LinkedIn User
Marc a assuré un suivi et un travail remarquables en Algérie sur le Projet AMECO ONS / Office National des Statistiques. ALGER. Sylvain GEVREY/ Ex Directeur régional IGN France International
LinkedIn User
Marc a assuré un suivi et un travail remarquables en Algérie sur le Projet AMECO ONS / Office National des Statistiques. ALGER. Sylvain GEVREY/ Ex Directeur régional IGN France International
LinkedIn User
Marc a assuré un suivi et un travail remarquables en Algérie sur le Projet AMECO ONS / Office National des Statistiques. ALGER. Sylvain GEVREY/ Ex Directeur régional IGN France International
LinkedIn User
Marc a assuré un suivi et un travail remarquables en Algérie sur le Projet AMECO ONS / Office National des Statistiques. ALGER. Sylvain GEVREY/ Ex Directeur régional IGN France International
Experience
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Ecole nationale des Sciences géographiques
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France
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Higher Education
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1 - 100 Employee
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Enseignant-chercheur en Télédétection
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Mar 2016 - Present
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IGN - French Mapping Agency (Institut Géographique National)
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France
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Government Administration
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500 - 600 Employee
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Research&Development Analyst
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Jul 2008 - Mar 2016
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Jamstec
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Yokohama, Kanagawa, Japon
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Master Student
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Jul 2015 - Dec 2015
Latitudinal and geomorphological analysis of NDVI values on Lena River Basin (2001-2013), focusing on forestry species in competition. The boreal region supported a faster temperature increase than lower latitudes. The Lena River basin is characterized by the lowest temperature at those Eurasian latitudes and in accordance covered by a larger coniferous deciduous population, able to resist strong winters (Dwd in Köppen classification). This species, the Larch, is especially sensitive to temperature, which is its limiting factor. As a consequence, vegetation activity is changing, which impacts, in turn, the energetic balance of this area (Albedo, Carbon storage). Larch and evergreen coniferous have a different impact on this balance. It is required to better understand the differences between those 2 main types of tree species to predict their evolution. Raster (MODIS) data from the satellite Terra are dedicated to the monitoring of this area in lack of enough field information. In order to obtain an overall understanding of the area and limite the snow interference, we compiled the maximum values of each annual period of NDVI calculation. This dataset is combined with other layers (DTM, waterbodies information, exposition) to classify the climatic external factors, and remove the inappropriate values. Differences between spring and autumnal variations were detected. Impact of snow on exposition is also clearly visible and could be a variable of evergreen northern progress. Focusing on those forest massifs is the work in progress. Show less
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IGN FI
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France
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IT Services and IT Consulting
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1 - 100 Employee
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Expert
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Apr 2012 - Dec 2013
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Expert junior
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May 2010 - Sep 2011
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Education
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Université Paris 1 Panthéon-Sorbonne
Master 2, Remote sensing and Geomatics applied to environmental study