Cartography, geoinformatics and remote sensing

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International applicants for doctoral study (Czech and Slovak Republics applicants not included)
Submission deadline until midnight 30 Nov 2020

What will you learn?

The program Cartography, geoinformatics, and remote sensing aims to prepare top specialists in in given geographical disciplines including scientific and language skills. Study aims at the master graduates of geoinformatics and cartography but also at graduates of related disciplines like informatics or cognitive psychology from the Czech Republic and the whole Central European region.

Postgraduate study further develops theoretical as well as methodological skill focused on the particular scientific area of interest. Students regularly participate in ongoing projects both national ( (GAČR; TAČR Éta, Zéta; NAKI etc) and internationally based (H2020, Interreg etc).

Students also regularly cooperate with the commercial sector and further develop their communitacion, presentation, and team work skills.

Graduates of the program should be prepared primarily for further scientific careers in academic and research institutions, but also for potential employment in the private sector.

Practical training

Practical training (not including laboratory and field work) is not a compulsory part of the Ph.D. program.

Career opportunities

The graduates are able to cooperate both on the national and international level. They can apply the acquired qualification as leaders and senior scientist especially in following institutions:

  • academic and research institutions focused on cartography and geoinformatics (CzechGlobe, Geonika), cognitive sciences (Academy of Science).
  • commercial sector - research and development as well as project management in applied research.
  • management of science and project development.
  • state and ministry institutes (public administration bodies) at all levels of organisation (local, regional, country).

Graduates can generally address conceptual questions, scientific and organisational activities, and also teaching and transferring the experience knowledge.

Admission requirements

Data from the previous admission procedure (1 Jan – 30 Apr 2020)

The exam commission evaluates knowledge from cartography, geoinformatics and remote sensing maximally by 70 points; at least 35 points are necessary for fulfilment of this part. At least 15 points from 30 possible points are necessary for successful passing of exam from English language. This means that for successful finishing of the entrance exam it is necessary to obtain at least 50 points from 100 possible points; at the same time, minimal points from both parts of the exam have to be achieved.

Application guide

Deadlines

1 Aug – 30 Nov 2020

Submit your application during this period

Submit an application

Supervisors and dissertation topics

Supervisors

Dissertation topics

Single-subject studies

Prediction Analyses of Cloudiness for Multispectral Satellite Imagery

Supervisor: doc. RNDr. Tomáš Řezník, Ph.D.

OBJECTIVES: The research aims to explore mechanisms of cloudiness prediction analyses for multispectral satellite imagery, such as from Sentinel missions, for the purposes of applications in precision agriculture.

PLEASE NOTE: before initiating the formal application process to doctoral studies, all interested candidates are required to contact Assoc. Prof. Tomas Reznik (tomas.reznik [at] sci.muni.cz) for informal discussion.

Cartography for Virtual Reality

Supervisor: Mgr. Bc. Zdeněk Stachoň, Ph.D.

Práce se zabývá aplikovatelností metod kartografie a geinformatiky v prostředí virtuální reality (VR). Práce si klade za cíl:
– Zjistit, zda a jaké metody a přístupy běžně využívané v rámci GIS nebo 3D vizualizací lze implementovat a efektivně využít v rámci softwarových řešení pro VR a následně je případně prakticky aplikovat.
– Zjistit, jestli existuje rozdíl mezi uživateli/studenty pracujícími s prostorovými daty ve VR a uživateli/studenty, kteří s těmito daty pracují v reálném prostředí (v rámci desktopu, nebo přímo fyzicky s mapami či jinými formami prezentace prostorových informací).
– Identifikovat případné moderující/intervenujících proměnných, které by měly vliv na práci uživatele s prostorovými daty ve VR a jeho celkovou interakci s prostředím.
– Analyzovat možnosti využití stávajících dostupných prostorových dat v rámci VR; především pak jejich přenositelnost do VR a aplikovatelnost z pohledu formátu dat a jejich konverze do formátů použitelných ve VR.

Notes

Zdroje: GOODCHILD, M. F. et al., (2012). “Next-generation Digital Earth,” Proc. Natl. Acad. Sci., vol. 109, no. 28, pp. 11088–11094, Jul. 2012. KUBÍČEK, P. et al (2017). Identification of altitude profiles in 3D geovisualizations: the role of interaction and spatial abilities. International Journal of Digital Earth, Taylor & Francis, roč. 12, č. 2, s. 156-172. ISSN 1753-8947. doi:10.1080/17538947.2017.1382581. MACEACHREN, A. M. et al. (1999). “Virtual environments for geographic visualization,” in Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management - NPIVM ’99, pp. 35–40. ŠAŠINKA, Č. et al (2019). Collaborative Immersive Virtual Environments for Education in Geography. ISPRS International Journal of Geo-Information, Basel, Switzerland: MDPI, roč. 8, č. 1, s. Nestránkováno. ISSN 2220-9964. doi:10.3390/ijgi8010003.

Correction of hyperspectral data for water bodies

Supervisor: Ing. Kateřina Tajovská, Ph.D.

The research work will cooperate with the CzechGlobe scientific research projects in the area of correction of hyperspectral data from the Flying Laboratory of Imaging Systems (FLIS) with special attention to the area of water bodies. The candidate should have an advantage knowledge of remote sensing, basic programming skills, analytical thinking and ability of scientific publishing.

Optimisation of Farm Machinery Trajectory

Supervisor: doc. RNDr. Tomáš Řezník, Ph.D.

OBJECTIVES: The research aims to explore and evaluate environmental as well as socio-economic factors influencing the trajectory of farm machinery.

OUTCOMES: A parametric algorithm for optimised farm machinery trajectory is the primary outcome of the thesis.


NOTE: Before initiating the formal application process to doctoral studies, all interested candidates are required to contact Assoc. Prof. Tomas Reznik (tomas.reznik [at] sci.muni.cz) for informal discussion.

Use of advanced techniques for data creation for the purposes of humanitarian mapping

Supervisor: Mgr. Radim Štampach, Ph.D.

The research aims to explore possibilities of using artificial inteligence and automatic detection of objects on remote sensing imagery for humanitarian mapping. The goal is to make volunteer work on data creation more efficient.

The topic is reserved for Milan Fila.

VGE in spatial education tasks

Supervisor: doc. RNDr. Petr Kubíček, CSc.

Notes

Vypsáno pro Hana Švedová.

Study information

Provided by Faculty of Science
Type of studies Doctoral
Mode full-time Yes
combined Yes
Study options single-subject studies Yes
single-subject studies with specialization No
major/minor studies No
Standard length of studies 4 years
Language of instruction Czech
Collaborating institutions
  • The Czech Academy of Sciences
  • Ústav výzkumu globální změny AV ČR
Doctoral board and doctoral committees

Do you have any questions?
Send us an e-mail

doc. RNDr. Petr Kubíček, CSc.

Consultant

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