The ISPRS SC Webinar Series

Webinars are one of the commonly used ways of reaching out to a wider audience through seminars hosted over the web, providing the audience an opportunity to interact with lecturers and organizers through state-of-the-art software. The International Society for Photogrammetry and Remote Sensing (ISPRS) is an international organization of experts and scientists in the fields or remote sensing, photogrammetry and spatial information science. Each Technical Commission focuses on an area of expertise, with diverse members from the scientific community. The ISPRS SC, as the official representation of the youth in ISPRS, is introducing these experts and scientists within ISPRS through the Webinar Series, which was launched in 2018. The ISPRS SC has over the years has passed information to its members over the years, through the Newsletter, website and summer schools. The proposed topics in the Webinar Series will be decided by the members and will showcase the different experiences and current research of the featured lecturer from ISPRS.

 


 

Deep ensembles for global vegetation analysis

Worldwide analyzes and estimates of vegetation parameters such as biomass or vegetation height are essential for modeling climate change and biodiversity. Traditional allometric approaches usually have to be adapted for specific ecosystems and regions. It is therefore very difficult to carry out homogeneous, global modeling with high spatial and temporal resolution and, at the same time, good accuracy. Data-driven approaches, especially modern deep learning methods, promise great potential here. In the lecture, current research results for the global determination of vegetation height will be presented, which are being developed in the EcoVision Lab integrating probabilistic approaches and deep learning (Deep ensembles)

Speaker: Prof. Jan Dirk Wegner, University of Zurich & ETH Zurich
 
Date and time: Nov 19, 2021 12:00 CET (noon)
 
 

 


 

Webinar: Collaborative Humanitarian Mapping with PoliMappers and UN Mappers

The webinar consists in two parts:

  • a “theoretical” part with an introduction to the Collaborative Humanitarian Mapping and OpenStreetMap, the ecosystem that can be used for this purpose, to PoliMappers, the Association of Mappers of Politecnico di Milano and to UN Mappers, the community of UN Mappers;
  • a “practical” part with a mapathon (map marathon) where we will map together for one of the United Nations Mappers projects. During the mapping activity, participants will learn how to edit data on OpenStreetMap and provide geospatial support to UN Peacekeeping missions. The activity will involve the mapping of the road network in African countries following a step-by-step approach. Please, ensure to have a mouse and good Internet connection.

Aim of the webinar is to learn how we can contribute individually or as a team of students to the Collaborative Humanitarian Mapping process.

Link for registration.

Detailed Program:

  • 2:15-2:40 pm OSM and collaborative mapping (Maria A Brovelli)
  • 2:40-2:50 pm Introduction to PoliMappers, the YouthMappers Chapter of Politecnico di Milano (Chiara Ponti)
  • 2:50-3:00 pm UN Mappers (Michael Montani)
  • 3:00-3:15 pm break
  • 3:15-4:00 pm Mapping with UN Mappers (Michael Montani)

Speakers:

Maria Antonia Brovelli is Professor of GIS at the Politecnico di Milano (PoliMI) and member of the School of Doctoral Studies in Data Science at “Roma La Sapienza”. She is the chair of ISPRS WG IV/4 “Collaborative crowdsourced cloud mapping (C3M)”; member of ESA ACEO (Advisory Committee of Earth Observation); co-chair of the United Nations Open GIS Initiative, Chair of the UN-GGIM (Global Geospatial Information Management) Academic Network, mentor of the PoliMI Chapter of YouthMappers (PoliMappers).

 

 

Chiara Ponti is the President and one of the founding members of PoliMappers. She is enrolled in the MSc in Environmental Engineering at Politecnico di Milano and is currently working on her thesis about satellite data processing for mean dynamic ocean topography models.   

 

 

Michael Montani graduated in Geoinformatics Engineering at the Politecnico di Milano. He is a Senior GIS Consultant at United Nations Global Service Centre (UNGSC). He is Crowdsourcing Manager for the UN Mappers activities. Formerly, he has been Co-founder and President of PoliMappers and YouthMappers Research Fellow, modelling an endemic disease in Senegal with collaborative mapping and AI.

 

Relevant links:

OpenStreetMap is a free and editable map of the whole world that is being built by volunteers and released with an open-content license. The OpenStreetMap (OSM) project was born in 2004 to encourage the development and distribution of free geospatial data for anybody to edit, use, and share. https://www.openstreetmap.org/

YouthMappers is a worldwide international network of 219 university-student-led chapters. It organizes, collaborates, and implements mapping activities that respond to actual development needs around the globe - creating and using geospatial data and information that is made publicly available through open platforms. https://www.youthmappers.org/

PoliMappers is a group of students of Politecnico di Milano whose main goal is to promote mapping. Established in 2016, PoliMappers is the 1st Chapter in Europe of YouthMappers. https://polimappers.github.io/

Unite Maps is a mapping initiative that aims to assist UN peacekeeping missions in their field endeavors, such as peace and security, navigation and logistics, by providing its peacekeepers with topographic maps that will help them in their tactical and operational activities. Unite Maps crowdsources topographic data on OSM with a thriving community of mappers, the UN Mappers, ranging from UN personnel on the field (GIS groups, UN offices, military and police) to academia (high schools and universities), from local communities and NGOs to any remote volunteer in the world.

https://wiki.openstreetmap.org/wiki/Unite_Maps_Initiative/UN_Mappers

 

 


 

Previous Webinar: 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 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/ 

Recording

 


 

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.

About Dr. Konrad Schindler: 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