Thematic mapping of Burundi using geospatial data and satellite images processed by geoinformatics methods

Authors

DOI:

https://doi.org/10.47456/geo.v4i39.46177

Keywords:

remote sensing, mapping, satellite images

Abstract

This paper presents the implementation of the integrated cartographic approach for environmental mapping of Burundi, East Africa. Monitoring different types of land cover in Africa by remote sensing is presented using GRASS SIG methods. The series of thematic maps of vegetation and habitat types, landscapes, topographic, geomorphic and geological context of Burundi is created in QGIS and GMT software. The methodological issues concerning the processes of cartographic scripting are discussed with commented snippets of programming codes using syntax of GRASS GIS. Several modules are used for satellite image mosaic, processing vector and raster data, and classification. The paper documents environmental features of Burundi, such as vegetation types, land cover patterns, geologic setting and landscape distribution using digital cartographic tools. A series of the thematic maps is proposed to support environmental policies on agricultural management in Burundi.

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Author Biography

Polina Lemenkova, Università di Bologna

Cartographer with strong experience in shell scripting, GIS, data analysis and visualization.
Author of 160+ journal articles; 90+ papers in conference proceedings; 50+ presentations/posters.
Reviewer of 700+ manuscripts, WoS ID R-8828-2018: https://www.webofscience.com/wos/author/rid/R-8828-2018
Editorial Board Member: 1) Front. Environ. Sci.; 2) Front. Mar. Sci.; 3) J. Appl. Eng. Sci.; 4) Acta Univ. Lodz. Folia Geogr. Phys.; 5) CEJGSD.

Technical Skills: GMT scripting toolset, GRASS GIS, QGIS, ArcGIS, MapInfo. Image processing: GRASS GIS, R, Erdas Imagine, ILWIS, ENVI, Idrisi. Programming: Python, R, Octave/MATLAB, Unix utilities, shell/bash scripts, awk, grep. Markup languages: TeX (strong user of LaTeX). Statistical data analysis: Python, R, SPSS, Gretl, Gnuplot. Data sharing: GitHub.

Professional activities: Attendee of numerous (50+) scientific events on Earth Sciences/Education/IT: conferences, workshops, meet-ups, training courses. Enthusiast of cartography, mapping, data science, Earth observation in RS and GIS applications.

Education: MSc (2011) in GIS and Earth Observation jointly awarded from the University of Southampton (UK), University of Twente (Netherlands), University of Warsaw (Poland) and Lund University (Sweden) with a fieldwork on Crete Island (Greece). Multiple research stays at European universities. Additional studies at: University of Vienna (Austria), University of Lapland (Finland), Eötvös Loránd University (Hungary), University of Tartu (Estonia), Matej Bel University (Slovakia), Université Libre de Bruxelles (Belgium), OUC, NTU (China), Ege University (Turkey), TU Dresden (Germany), Charles University in Prague (Czech Republic). BSs in Geography and Cartography: Lomonosov Moscow State University, 2004 (Summa Cum Laude). University Gold Medal for Academic Excellence. Participation in the ANT/XXIII-4 Antarctic expedition by AWI, Germany (R/V "Polarstern"), 2006: South Pacific Ocean, Amundsen Sea, Bellingshausen Sea. Research foci: Data analysis, cartography, geoinformatics, modelling, mapping, data visualization, algorithms, applied programming, machine learning, ocean/marine studies, statistical analysis, GIS, remote sensing, satellite image processing, environmental monitoring. Fellowships: 20+ research grants awarded by: DAAD, AWI (Germany), ESKAS (Switzerland), Erasmus Mundus (EU Committee), ÖAD (Austria), CIMO (Finland), HSB (Hungary), ESF (EU), WBI (Belgium), Belgian Science Policy Office, Federal Science Policy (BELSPO), TÜBİTAK (Turkey), MOE Taiwan (China), SAIA (Slovakia), CSC/SOA Marine Scholarship (China), Russian scholarships, travel grants:  Rijksuniversiteit Groningen (Netherlands, 2013), Maison des Sciences de l’Homme et de l‘Environnement Claude Nicolas Ledoux (France, 2014).

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Published

18-11-2024

How to Cite

LEMENKOVA, Polina. Thematic mapping of Burundi using geospatial data and satellite images processed by geoinformatics methods. Geografares, Vitória, Brasil, v. 4, n. 39, 2024. DOI: 10.47456/geo.v4i39.46177. Disponível em: https://periodicos.ufes.br/geografares/article/view/46177. Acesso em: 21 nov. 2024.

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Vol. 4 No. 39 (2024): Revista Geografares (julho-dezembro 2024)

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