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SUMMARY:ENAC Seminar Series by Dr. J. Wegner\, Prof. N. Vercauteren & Dr. 
 L. Gilarranz
DTSTART:20190115T090000
DTEND:20190115T121500
DTSTAMP:20260429T150905Z
UID:103e9308becc116b7f6a852fbafa4a6ef157cf726c7d927d86df2a51
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. J. Wegner\, Prof. N. Vercauteren & Dr. L. Gilarranz\n9:00 
 – 10:00 – Dr. Jan Wegner\nSenior Researcher and Lecturer\, Dept. of Ci
 vil\, Environmental and Geomatic Engineering\, ETHZ\n\nDeep Machine Learni
 ng for Environmental Sciences\n\nDr. Wegner will present data-driven metho
 ds at the interface of computer science\, ecology\, and engineering that e
 stimate a rich set of environmental variables at very large scale. After a
  short introduction to deep learning\, he will talk about projects on vege
 tation monitoring\, sustainability\, and hydrology to highlight the great 
 potential of modern machine learning and point at possible pitfalls.\nHe w
 ill demonstrate how we can combine deep learning with publicly available d
 ata to map hundreds of thousands of street trees. A similar approach can e
 stimate tree defoliation of forest trees across Switzerland to investigate
  the impact of climate change on vegetation in high alpine regions. He wil
 l further show a highly automated approach to stop deforestation in tropic
 al regions using satellite images and how we can count individual trees of
  specific species at country scale with deep semantic density estimation. 
 Finally\, he will explain how we can use computer vision for quantifying u
 rban flood events using social media images. Partially submerged objects l
 ike cars\, bicycles or humans are automatically identified in the images t
 o estimate their submersion level.\n \n\n10:15 – 11:15 – Prof. Nikki 
 Vercauteren\nAssistant Professor\, Dept. for Mathematics and Computer Scie
 nces\, Freie Universitaet Berlin\, Germany\n\nTowards stochastic modeling 
 of turbulence in the stably stratified atmospheric boundary layer\n\nAtmos
 pheric boundary layers with thermally stable stratification are the least 
 understood type of boundary layers due to suppressed turbulence and the pr
 esence of myriads of processes on multiple spatiotemporal scales that modu
 late the turbulence. Stable boundary layers (SBLs) are however the norm in
  Polar and winter alpine environments\, and more generally at nighttime. C
 omplex alpine terrain results in even more scale interactions due to orogr
 aphic effects on small-scale atmospheric dynamics. In such environments\, 
 turbulence is typically unsteady and intermittent. Classical approaches to
  turbulence parameterization fail to reproduce turbulent dissipation in SB
 L context and this is a known source of errors in larger scale atmospheric
  models\, including climate models. In this presentation Prof. Vercauteren
  will approach the question of intermittency of turbulence and its partial
  modulation by non-turbulent motions based on multiscale data analysis and
  statistical clustering methods. The multitude of small-scale non-turbulen
 t motions affecting the SBL is poorly understood\, and even state-of-the-a
 rt Large Eddy Simulation (LES) tools cannot generate those sources of non-
 stationarity of turbulence. She will show how analyzing turbulence data ba
 sed on statistically classified flow regimes helps unravel organizing prin
 ciples in complex the dynamics of near-surface SBL turbulent flows. She wi
 ll suggest a novel framework to include stochastic inflow structures repre
 senting characteristics of classified field data in a LES tool. Such a fra
 mework will enable simulations of intermittent flows by LES\, and will add
 itionally serve as a computational method to study and derive new types of
  stochastic parameterizations for weather and climate models.\n\n\n11:15 
 – 12:15 – Dr. Luis Gilarranz\nPostdoctoral researcher\, Swiss Federal 
 Institute of Aquatic Science and Technology (EAWAG)\n\nCommunity Ecology i
 n Light of Complex Networks: biodiversity across space and time\n\nEcosyst
 ems worldwide are experiencing an unprecedented rate of degradation. This 
 not only has tremendous consequences for wildlife but our lives and econom
 ies as well. After decades of research\, we wonder if we have a good enoug
 h understanding of ecological systems to revert the situation. Such unders
 tanding should come from a dialogue between theoretical advances and exper
 iments and synthesis that may support or debunk such theories.\nIn this ta
 lk\, Dr. Gilarranz will contrast theory against data to show that species 
 interactions\, perturbations\, and dispersal routes play an important role
  in determining the health of ecological communities. Complex networks eme
 rge as powerful tools to understand the relationships between species and 
 community dynamics. They allow us to unveil previously undocumented effect
 s of anthropogenic activities\, to understand the geographical factors tha
 t determine the number of species coexisting at a certain location\, or un
 derstanding how perturbations spread. However\, most networks are static d
 escriptions of the systems they represent. In the absence of time series\,
  our observations are hidden in the invisible present. The perspectives fo
 r advancing the field have never been so exciting.
LOCATION:CM 1 106 https://plan.epfl.ch/?room==CM%201%20106
STATUS:CONFIRMED
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