Remote sensing and spatial data analysis

The research group focuses primarily on the processing, integration, analysis, and practical application of remote sensing and other spatial data. Key research areas include the processing of satellite and UAV data, image analysis, the application of GIS methods, and the integration and analysis of data from multiple sources. Increasing emphasis is placed on machine learning and artificial intelligence methods, as well as on the assessment of data quality and uncertainty.

A major application area of the research is precision agriculture and agricultural digitalisation, including the assessment of within-field variability, crop monitoring, soil moisture and drought assessment, and yield estimation. In agricultural research, the group collaborates with farmers and professional partners and participates in international and industry-related research collaborations in selected areas.

Main Research Areas

1. Remote Sensing Data Processing and Image Analysis

  • processing and data mining of satellite remote sensing data;
  • processing and agricultural applications of UAV data;
  • image processing and image classification methods;
  • object-based image analysis (OBIA) and image segmentation;
  • machine learning and artificial intelligence methods, including decision trees, random forests, and neural networks;
  • investigation of the potential applications of super-resolution remote sensing data;
  • assessment of the quality and uncertainty of remotely sensed data.

2. GIS, Data Integration, and Spatial Analysis

  • integration of spatial and non-spatial data from different sources;
  • application of GIS methods for the management and analysis of agricultural and environmental data;
  • integrated analysis of satellite, UAV, field, and other data;
  • generation of digital elevation models and terrain analysis;
  • spatial decision-support methods;
  • satellite data mining for raster mapping applications.

3. Remote Sensing Applications in Precision Agriculture and Agricultural Digitalisation

  • mapping and analysis of within-field variability;
  • crop monitoring;
  • assessment of crop condition and development;
  • spatial detection of crop production and management problems;
  • yield potential mapping and yield estimation;
  • investigation of relationships between yield and factors affecting crop production;
  • application of UAV technologies for within-field analysis;
  • application of remote sensing data to support digital agricultural technologies and decision-making.

4. Soil Moisture and Drought Monitoring

  • field measurement and spatial analysis of soil moisture;
  • estimation of soil moisture from remote sensing data;
  • investigation and development of soil moisture estimation and modelling methods;
  • application of spectral indices and models derived from remote sensing data;
  • drought monitoring and assessment of the agricultural impacts of drought;
  • application of remote sensing for the integrated assessment of water availability and crop condition.

5. Environmental and Land-Use Applications of Remote Sensing

  • land-use and land-use change mapping;
  • land-cover mapping;
  • spatial and land-cover analysis of urban environments;
  • urban ecological studies using remote sensing and GIS methods;
  • assessment of soil loss and erosion susceptibility using remote sensing data;
  • investigation of the spatial distribution of agricultural phosphorus in relation to erosion.

6. Development and Collaborative Research Areas

  • professional and research collaboration related to nanosatellite development;
  • development of remote sensing technologies and data-processing methods in cooperation with industry partners;
  • international research and educational collaborations;
  • development of educational applications of advanced remote sensing and GIS methods.

Previous Research and Development Activities

  • spectrometric investigations of the Earth’s surface;
  • application of remote sensing to the assessment of soil loss and erosion susceptibility;
  • application of remote sensing to the assessment of agricultural phosphorus in relation to erosion;
  • land-use and land-use change mapping;
  • land-cover mapping in urban environments;
  • mapping and analysis of within-field variability;
  • crop monitoring and detection of crop production and management problems;
  • yield estimation and yield potential mapping;
  • investigation of the agricultural applications of super-resolution imagery;
  • investigation of UAV and oblique imaging technologies and their potential applications;
  • development of image-processing methods;
  • application of object-based image analysis (OBIA);
  • field measurement of soil moisture;
  • soil moisture estimation and modelling using remote sensing methods;
  • development of educational methods and tools.

Keywords: remote sensing, GIS, image analysis, OBIA, image segmentation, image classification, machine learning, artificial intelligence, data integration, satellite data, UAV, precision agriculture, agricultural digitalisation, soil moisture estimation, drought monitoring, within-field variability, crop monitoring, yield estimation, land-use change, urban ecology, digital elevation models.

Research Group Members

Grant and Project Activities

  • WAREMA – Water Resource Management in Protected Areas, project part-financed by the European Union, 2006–2008.
  • TÁMOP 4.2.1/B-09/1/KONV-2010-0006 – Development of Intellectual, Organisational and R&D Infrastructure at the University of West Hungary, 2010–2013.
  • Hungarian–Chinese S&T Cooperation Programme, Extraction and Assessment of Geoinformation Products in an Urban Ecological Environment, 2009–2010.
  • Hungarian–Chinese S&T Cooperation Programme, Investigation of GIS Models of Natural Resources in Urban Agriculture, 2009–2010.
  • IRSEL – Innovation on Remote Sensing Education and Learning, EU Erasmus+ project, 15 October 2017 – 14 October 2020. Development of an innovative educational platform to support the wider application of remote sensing in Asian countries; professional coordinator.
  • DSinGIS – Doctoral Studies in GeoInformation Sciences, EU Erasmus+ project, 15 October 2017 – 14 October 2020. Supporting sustainable development in Uzbekistan through the establishment of a new doctoral programme, development of innovative doctoral courses and teaching methodologies, and support for professional development in geoinformatics.
  • WREN – Water Resources in Efficient Networks, Development of Monitoring and Prediction Methods to Support Climate Change Adaptation Based on Remote Sensing Data and Validation Using Ground Sensor Network Data. GINOP_PLUSZ-2.1.1-21-2022-00040, 1 April 2023 – 30 June 2026.
  • AGROPATH – Advanced Geomatics and Remote Observation for Precision Agriculture in Higher Education. Grant Agreement No. 101238034. Funding Agency: European Education and Culture Executive Agency (EACEA). Programme: Erasmus+ International Capacity Building. 1 January 2026 – 31 December 2028.
  • V4 Best Practice Transfer: Digital Technologies in Precision Agriculture from V4 Countries to Ukraine, 1 November 2025 – 31 October 2027.

Collaborating Partners

  • Paris Lodron University of Salzburg (PLUS), Austria
  • Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan
  • Karakalpak State University named after Berdakh (KSU), Nukus, Uzbekistan
  • Astronomical Institute of the Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
  • AXIÁL Kft., Hungary
  • Lechner Knowledge Centre, Hungary
  • GeoIQ Kft., Hungary
  • Warsaw University of Life Sciences (WULS-SGGW), Poland
  • Jagiellonian University, Poland
  • Koszalin University of Technology, Poland
  • C3S Kft., Hungary
  • Lviv Polytechnic National University, Ukraine

Reference

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This page was updated on: 2026.10.08.