We are pleased to announce that the GIScience 2021 Conference will host a Thematic Seminar on Integrated qualitative and quantitative data in geodiversity mapping organised by the Working Group on Landform Assessment for Geodiversity of the International Association of Geomorphologists.
The Seminar is supported by the journal Quaestiones Geographicae that may consider the Seminar papers in transdisciplinary approach for publication.
Organizer: Prof. Dr. Zbigniew Zwoliński (ZbZw@amu.edu.pl)
Co-organizers: Dr. Joanna Gudowicz, MA Alicja Najwer
Venue: Online
Time: 27 September 2021
Program
The thematic seminar will take place in the GIScience2021: TS1 geodiversity mapping room
11:00-11:15 Welcome
11:15-11:45 Aleksandra Ibragimow, Lech Kaczmarek – Application of GIS data resources in interdisciplinary studies on the Polish-German borderland
11:45-12:15 Muhammad Yaseen, Abbas Ali Naseem – First detailed preliminary assessment of geological resources from Hingol National Park, Baluchistan to evaluate the potential of the area to become Global Geopark
12:15-12:30 Break
12:30-13:00 Gianluca Tronti, Irene M. Bollati, Roberto S.Azzoni, Anna Masseroli, Manuela Pelfini – A Geodiversity approach to the assessment of proglacial areas evolution using GIS–based data analysis
13:00-13:30 Nenad Buzjak, Valerija Butorac – Geodiversity research in the service of nature protection - an example of Natura 2000 site Sava near Hruščica (Croatia)
13:30-14:30 Lunch
14:30-15:00 Irene M. Bollati, Marco Cavalli – A GIS-based approach to investigate the relationship between geomorphodiversity and sediment connectivity
15:00-15:30 Thomas Y. Chen – Assimilating Earth Observation Data to Map Geomorphological Change in Geodiverse Landscapes over Time
15:30-15:45 Break
15:45-16:15 Liang Zheng – Does the declaration and construction of the UNESCO Global Geopark achieve the goal of ecological sustainability? A scenario-based study in Dabieshan, China
16:15-16:45 Alicja Najwer, Piotr Jankowski, Zbigniew Zwoliński, Jacek Niesterowicz – Geodiversity assessment with global and local spatial multicriteria analysis