Jan Brodský, 409116, D-KADP, MUNI Brno, 2019
ZD261
RAPID MAPPING FOR CRISIS MANAGEMENT – INTRODUCTION
My dissertation topic focuses on rapid mapping and its use in crisis management. The basic
structure of my work consists of description of ways how to get data from endangered areas
very quickly and turn them into a format usable for emergency services, decision makers etc.
in real-time and efficiently. This thing has usually been difficult to do properly so I hope to
find a solution how to make it much better.
There are some ways to process the data from satellites for use in crisis management but
they are usually very slow and often not very accurate (for example making maps from the
OpenStreetMap by volunteers or Copernicus Emergency Management Site). My task in my
topic is to create a new way how to automatize the processing of the data and turning them
into a real tool for decision making.
One of the main tasks in my work is to develop a system of automated classification of
objects in endangered areas so that the final application of the system makes it possible to
put satellite data into the system and get the map with all features the user needs in realtime.
The real-time factor is very important here because the sooner the information gets to
the crisis management authorities, the better decisions and actions can be made and at the
end also more inhabitants and properties can be saved from the injuries/death and damage.
The problem of this task is to find out how to program the algorithms which could be
responsible for the process. A second part could be finding the right data sources for this
purpose (so that the algorithm works with high quality data). The main criteria for selecting
the input data for crisis management should be time resolution and availability. Therefore I
think that possibly the best choice should be data from Copernicus programme which are
very accurate and also free to use.
The sources for my topic vary depending on a selected area and phenomenon but I could
definitely use for example these ones:
BACHER, Uwe a Helmut MAYER: AUTOMATIC ROAD EXTRACTION FROM MULTISPECTRAL
HIGH RESOLUTION SATELLITE IMAGES. CMRT05 [online]. Vienna: IAPRS,
2005, XXXVI(3/W24), 29-34 [cit. 2019-04-26]. URL:
https://www.isprs.org/proceedings/XXXVI/3-W24/papers/CMRT05_Bacher_Mayer.pdf
Jan Brodský, 409116, D-KADP, MUNI Brno, 2019
ZD261
P. Lu, A. Stumpf, N. Kerle and N. Casagli: Object-Oriented Change Detection for Landslide
Rapid Mapping, in IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 4, pp. 701-705,
July 2011. doi: 10.1109/LGRS.2010.2101045
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5710959&isnumber=5910
657
VOIGT, Stefan a kol. Rapid Damage Assessment and Situation Mapping: Learning from the
2010 Haiti Earthquake. Photogrammetric Engineering and Remote Sensing [online].
2011, 77(9), 923-931 [cit. 2019-04-26]. DOI: 10.14358. URL:
https://www.researchgate.net/publication/231338199_Rapid_Damage_Assessment_and_Si
tuation_Mapping_Learning_from_the_2010_Haiti_Earthquake
VOIGT, Stefan a kol. Satellite Image Analysis for Disaster and Crisis-Management
Support. IEEE Transactions on Geoscience and Remote Sensing [online]. 2007, 45(6), 1520-
1528 [cit. 2019-04-26]. DOI: 10.14358. ISSN 1558-0644. URL:
https://ieeexplore.ieee.org/abstract/document/4215094
ROCHE, Stephane a kol. GeoWeb and crisis management: issues and perspectives of
volunteered geographic information. GeoJournal [online]. 2007, 78(1), 21-40 [cit. 2019-04-
26]. ISSN 1572-9893. URL: https://link.springer.com/article/10.1007/s10708-011-9423-9
https://link.springer.com/chapter/10.1007/11427995_39
FRIEDMANNOVÁ, Lucie, Milan KONEČNÝ a Karel STANĚK. An adaptive cartographic
visualization for support of the crisis management[online]. 2006 [cit. 2019-04-26]. URL:
https://www.researchgate.net/publication/228919107_An_adaptive_cartographic_visualiza
tion_for_support_of_the_crisis_management
ROBINSON, Anthony, Robert ROTH a Alan MACEACHREN. Challenges for Map Symbol
Standardization in Crisis Management. Proceedings of the 7 th International ISCRAM
Conference [online]. Seattle, 2010 [cit. 2019-04-26]. URL:
http://www.personal.psu.edu/users/a/c/acr181/222-Robinson_etal.pdf
KUBÍČEK, Petr a Jiří KOZEL. Cartographic Techniques for Adaptive Emergency Mapping. Risk
Models and Applications, [online]. CODATA-Germany, 2010, 49-62 [cit. 2019-04-26]. URL:
https://www.researchgate.net/publication/289532888_Cartographic_Techniques_for_Adap
tive_Emergency_Mapping