ISPRS SC Webinar Series - Digital Animal Conservation: From Flying UAVs to Mapping with Deep Learning [21 May 2020]

 
Monitoring wildlife populations is a complex business, since it involves monitoring over large areas, with complex terrains and counting living animals that move (and can also be dangerous at close range). For all these reasons, as well as to increase frequency and reduce costs, Unmanned Aerial Vehicles (UAVs) are more and more used. UAVs indeed acquire large amounts of data, but then also raise the problem of detecting and counting the animals, in order to provide accurate counts in an automatic way.
 
In this talk, Dr. Devis Tuia from Wageningen University will talk about how deep learning can help, especially when assisted by enthusiastic nature lovers willing to screen images for protecting wildlife.

About the Lecturer - Dr. Devis Tuia

I have a Ph.D in environmental sciences from the University of Lausanne, Switzerland, which I got in 2009. Then, I traveled the world as a  Postdoc, first at the University of Valencia, and then at the University of Colorado, Boulder, CO and EPFL Lausanne. Between 2014 and 2017, I was an Assistant Professor at the University of Zurich. I am currently a Professor at  Wageningen University, the Netherlands. From September this year, I will join Ecole Polytechnique Fédérale de Lausanne, Switzerland, as an Associate Professor. The new lab will focus on environmental computational science and Earth observation (ECEO). It will search innovative ways to use computer vision and machine learning to tackle important problems in environmental science!  More info on http://devis.tuia.googlepages.com/ 

Schedule

Date: 21 May 2020

Time: 10:00 AM New York (EDT) |  2:00 PM UTC | 4:00 PM Berlin (CEST) | 11:00 PM Tokyo (JST) 

(click here for your time zone: Every Time Zone - Time Zone Converter)

The webinar will be hosted for about 1 hour and 10 minutes. Sona Guliyeva and Mustafa Ustuner will be moderating this webinar.

Activity

Duration

Welcome Remarks

5 minutes

Introduction of the Lecturer

5 minutes

Webinar Proper

40 minutes

Questions and Answers

15 minutes

Closing Remarks

5 minutes

Total time

1 hour 10 minutes

Registration

Please register here: https://forms.gle/AdrjjFjxwatDzVDU6

The link to the webinar will be sent to the email address you will provide upon registration.

Deadline for registration is on 18 May 2020.

 


 

Previous Webinar: Deep Learning for Photogrammetric Analysis and Remote Sensing [20 February 2020]

In today’s era of big data, deep learning techniques are becoming more vital to pursuing data intensive science. International space agencies are launching missions after missions and data are also collected using airborne and terrestrial remote sensing techniques at the regional and local levels. Exploring the potential and variety of applications from the vast quantity of remote sensing imagery calls for new tools that can automate and optimize the extraction of reliable and useful information and facilitate subsequent analyses.

Dr. Konrad Schindler is a professor at the Department of Civil, Environmental and Geomatic Engineering, Institute of Geodesy and Photogrammetry in ETH Zürich. He has completed his PhD in Computer Science in Graz University of Technology, Austria in 2003. Since then, he has published numerous papers on photogrammetry, remote sensing, computer vision and image interpretation. He has received several best presentation awards in various conferences and honours from international societies, including the U.V. Helava Award from ISPRS in 2012 and the Marr Prize Honourable Mention from the IEEE Computer Society in 2013.

For more information on Dr. Schindler, read our interview in the SpeCtrum, the official Newsletter of the ISPRS SC: http://sc.isprs.org/files/sc/newsletter/isprs_sc_SpeCtrum_vol12_no2.pdf

Recording