Remote sensing and spatial data analysis

Remote sensing and spatial data analysis

The members of the research group are mainly engaged in the processing and practical application of remote sensing data. A key research area is the analysis of image processing, artificial intelligence, data integration, and data from multiple sources in support of precision farming. Digitization in agriculture, international cooperation in some research topics. Cooperation with farmers on agricultural research topics.
Main research areas:

  • Satellite data mining in raster mapping
  • Data integration
  • Digitization in agriculture
  • Image classification methods: object-based image processing (OBIA), artificial intelligence: decision trees, random forests, neural networks, etc.
  • Plant monitoring
  • The role of UAVs in agricultural plant analysis
  • Humidity estimation by remote sensing methods, research of estimation models
  • Drought monitoring
  • Research on the relationship between yield and factors influencing crop production
  • Precision farming
  • The role of GIS in the management, analysis, and retrieval of agricultural data
  • Practical applications of remote sensing, e.g. mapping land use change, mapping the urban environment
  • Decision support with GIS methods
  • Production of terrain models, terrain analysis
  • Data quality and uncertainty issues

Some previous tasks:

  • Surface spectrometric studies
  • Use of remote sensing to estimate soil loss and erosion vulnerability
  • Application of remote sensing to determine phosphorus of agricultural origin as a function of erosion
  • Mapping land use and changes with remote sensing
  • Surface mapping in urban environments
  • Precision agriculture
  • Investigation of the agricultural application of super-resolution images
  • UAV, OBLIQUE technology application possibilities
  • Development of image processing methods
  • Object Based Image Processing (OBIA)
  • Development of teaching methods and tools

Keywords: space research, remote sensing, image analysis, OBIA, segmentation, classification algorithms, artificial intelligence, data integration, satellite data and UAV agricultural applications, precision farming, urban ecology, agricultural informatics, digital terrain models

Participants

References

[1] The Making of a Joint E-Learning Platform for Remote Sensing Education: Experiences and Lessons Learned, Remote Sensing 13(9):1718 DOI: 10.3390/rs13091718
[2] M. Wojtaszek Verőné, V. Szabó, J. Kauser, A. Kocsis, L. Lippmann: Mapping of soil moisture variability within a field by the OPTRAM model, Pages: 459 – 466, In Precision agriculture’21, Editor: John V. Stafford, https://doi.org/10.3920/978-90-8686-916-9_55
[3] Malgorzata Verone  Wojtaszek, Levente Ronczyk , Zokhid Mamatkulov, and Mamanbek Reimov: Object-based  approach  for  urban  land  cover mapping using high spatial resolution data. E3S Web of Conferences 227, 01001 (2021)GI 2021 https://doi.org/10.1051/e3sconf/202122701001
[4] M.V Wojtaszek, I Abdurahmanov: Crop Water Condition Mapping by Optical Remote Sensing, International Journal of Geoinformtics Vol. 17 No. 1 (2021): Volume 17, No. 1 January – February 2021 https://journals.sfu.ca/ijg/index.php/journal/issue/view/221
[5] M., Verőné Wojtaszek: Mapping within-field soil water condition using Sentinel 2
In: Orosz, Gábor Tamás; Petőné Csuka, Ildikó (szerk.) 15th International Symposiumon Applied Informatics and Related Areas organized in the frame of Hungarian Science Festival 2020 : AIS 2020, Székesfehérvár, Hungary, Óbuda University (2020) pp. 103-106. , 4 p.
[6] Verőné, Wojtaszek Malgorzata: Mapping of Spatial Variability within a Field by Using Remote Sensing, INTERNATIONAL JOURNAL OF GEOINFORMATICS 15 : 4 pp. 53-58. , 6 p. (2019)
[7] Verőné, Wojtaszek Malgorzata: Remote sensing application in site-specific farming
MEMORCHILIK VA QURILISH MUAMMOLARI / PROBLEMS OF ARCHITECTURE AND CONSTRUCTION MC pp. 37-42. Paper: 2901-5004 , 6 p. (2019)
[8] Malgorzata, Verőné Wojtaszek, Remote Sensing Based Detection of Spatial Variability within a Field, JOURNAL OF GEOGRAPHICAL SOCIETY OF UZBEKISTAN 7 pp. 169-175. , 5 p. (2018)
[9] Malgorzata, Verőné Wojtaszek et al.: Comparison of Three Image Classification Methods in Urban Environment. JOURNAL OF GEOSCIENCE AND ENVIRONMENT PROTECTION 2015 : 3 pp. 54-59. , 6 p. (2015)
[10] Verőné, Wojtaszek Malgorzata: Szuperfelbontású felvételek osztályozásának kihívásai városi környezetben (Challenges of classifying high-resolution images in an urban environment) TÁVÉRZÉKELÉSI TECHNOLÓGIÁK ÉS TÉRINFORMATIKA / REMOTE SENSING TECHNOLOGIES AND GIS ONLINE 6 : 8 pp. 480-482. , 3 p. (2016)
[11] Malgorzata, Verőné Wojtaszek: Opportunities of Object-based Image Analysis for Detecting Urban Environment In: Jancsó, Tamás; Engler, Péter (ed.) IGIT 2015
[12] Chen, G ; Guo, D ; Wojtaszek, M V ; Márkus, B
Land use and land cover change based on remote sensing and GIS in Changping, Beijing, China and Lake Velence watershed, Hungary: ADVANCED MATERIALS RESEARCH 403-408 pp. 1543-1547. , 5 p. (2012)
[13] Verőné, Dr. Wojtaszek Malgorzata ; Ronczyk, Levente: Object-based Classifiation of Urban Land Cover Extraction Using High Spatial Resolution Imagery
In: Neményi, M; Heil, B (szerk.) The Impact of Urbanization, Industrial and Agricultural Technologies on the Natural Environment : International Scientific Conference on Sustainable Development and Ecological Footprint, Budapest, Hungary: National Textbook Publisher (2012) 400 p. pp. 171-181. , 11 p.
[14] Zhou, X. ; Verőné, Wojtaszek Malgorzata ; Chen, Ch. ; Jancsó, T.
Urban Land Cover Mapping Based on Object Oriented Classification Using WorldView 2 Satellite Remote Sensing Images, In: Neményi, M; Heil, B (ed.) The Impact of Urbanization, Industrial and Agricultural Technologies on the Natural Environment : International Scientific Conference on Sustainable Development and Ecological Footprint
Budapest, Hungary: National Textbook Publisher (2012) 400 p. Paper: ZVWChJ , 7 p.
[15] Chen, G ; Verőné, Wojtaszek M ; Markus, B ; Guo, D
Land Use and Land Cover Change Monitoring for Ecological Sustainability
In: Zhiwei, Ye (ed.) The 2nd International Conference on Information Engineering and Computer Science (ICIECS 2010), (2010) p. 8
[16] Verőné, Wojtaszek Malgorzata: Távérzékelés alkalmazása talajerózió becslésében (Application of remote sensing in estimating soil erosion)
AGROKÉMIA ÉS TALAJTAN 1-2 pp. 31-44. , 14 p. (1996)
[17]     Balázsik, V. ✉ ; Tóth, Z.;  Abdurahmanov, I.: Analysis of Data Acquisition Accuracy with UAV, INTERNATIONAL JOURNAL OF GEOINFORMATICS 17 : 1 pp. 1-10. , 10 p. (2021)
[18]     Balázsik Valéria: Domborzat- és felszínmodellek a GIS-ben /Terrain and surface models in GIS, In: Márkus, Béla (ed.) GIS 2014: 20 years of the Department of GIS, Székesfehérvár, Hungary: Óbuda University, Alba Regia Technical Faculty (2014) 400 p. pp. 7-19. , 13 p.
[19] Gábor, Nagy ; Tamás, Jancsó ; Chongchen, Chen: The Fitting Disc Method, a New Robust Algorithm of the Point Cloud Processing, ACTA POLYTECHNICA HUNGARICA 14 : 6 pp. 59-73. , 15 p. (2017)
 [20  Nagy, G: Matplotlib in the geospatial analyzes
In: AIS 2017 – 12th International Symposium, Székesfehérvár, Hungary: Óbuda University (2017) 204 p. pp. 90-93.
[21] G., Nagy: Analysing the pyramid representation in one arc-second SRTM model, 11th International Symposium on Applied Informatics and Related Areas (AIS 2016), Székesfehérvár, Hungary: Óbuda University (2016) pp. 79-83.
[22]  G.Nagy: Interpolation methods for digital elevation models, 9th International Symposium on Applied Informatics and Related Areas – AIS2014, Székesfehérvár, Hungary: Óbuda University, (2014) pp. 72-74.
[23]  Nagy, Gábor: Korszerű grafikus eszközök lehetőségei a domborzatmodellek térhatású megjelenítésében/ Possibilities of modern graphical tools in the spatial representation of terrain models, GEOMATIKAI KÖZLEMÉNYEK / PUBLICATIONS IN GEOMATICS 12 pp. 335-338. , 4 p. (2009)
[24]   Nagy, Gábor: Digitális domborzatmodellek tárolásának hatékony módszerei/ Efficient methods for storing digital terrain models, GEOMATIKAI KÖZLEMÉNYEK / PUBLICATIONS IN GEOMATICS 10 pp. 25-27. , 3 p.
[25] Busics Gy., Kiss A., Tarsoly P. (2013): Geodéziai mérések az egységes referenciarendszer biztosításához/ Geodetic measurements to ensure a unified reference system, in:Városok komplex öko-környezetének vizsgálata a Nyugat-dunántúli régióban, TÁMOP-4.2.1/B-09/1/KONV-2010-0006 Szellemi, szervezeti, és K+F infrastruktúrafejlesztés a Nyugat-magyarországi Egyetemért, Kiadó: Nyugat-magyarországi Egyetem Kiadó, (Investigation of the complex eco-environment of cities in the Western Transdanubia region, TÁMOP-4.2.1 / B-09/1 / KONV-2010-0006 Intellectual, organizational and R&D infrastructure development in the Western Transdanubia region for the University of West Hungary, Publisher: University of West Hungary Publisher,), ISBN 978-963-334-084-4, Sopron, pp.115-122
[26] Tarsoly, P.(2009):Digital topographical maps-positional accuracy (How CMAS-method works in the practise). 7th FIG Regional Conference, Hanoi, Vietnam, Oct. 19-22. 2009. CD.p 11

Tender activity

  • WAREMA Water resource management in protected areas. Project financed by the European Union. 2006-2008.
  • SROP 4.2.1 / B-09/1 / KONV-2010-0006, Development of Intellectual, Organizational and R&D Infrastructure at the University of West Hungary, 2010-2013
  • Hungarian-Chinese R&D, 2009-2010, Extraction and evaluation of GIS products in an urban ecological environment.
  • Hungarian-Chinese R&D, 2009-2010, Investigation of GIS models of natural resources in urban agriculture.
  • IRSEL (Innovation on Remote Sensing Education and Learning), EU ERASMUS + project 2017.10.15- 2020.10. 14., Development of an innovative education platform for Asian countries to make widespread use of remote sensing, professionally responsible
  • DSinGIS (Doctoral Studies in GeoInformation Sciences), EU ERASMUS + project 2017. 10.15. -2020.10. 14. Supporting the sustainable development of Uzbekistan, establishing a new doctoral program,
    developing innovative doctoral courses and methodologies, and supporting further training in geoinformatics.

Cooperating partners

Paris Lodron University of Salzburg (PLUS) (Austria)
Tashkent Institute of Irrigation and Melioration (TIIAME) Tashkent (Uzbekistan)
Karakalpak State University named after Berdakh (KSU) Nukus (Uzbekistan)
Astronomical Institute of Uzbek Academy of Sciences, Tashkent (Uzbekistan)
AXIAL LTD. (Hungary)
Gyermelyi Zrt. (Hungary)
Lechner Knowledge Center (Hungary)
GeoIQ Kft. (Hungary)
Warsaw University of Life Sciences (Poland)
Jagiellonian University (Poland)