The Laboratory of Remote Sensing Spectroscopy and Geographic Information Systems (GIS) serves the educational and research needs of collecting and processing of Earth observation data by applying methods of terrestrial, aerial and satellite remote sensing by the use of suitable sensors. The spectral sensors (image and point) used by the laboratory for soil survey, water and vegetation related to various review levels (proximal overview - proximal sensing, satellite remote sensing - satellite remote sensing and field survey - in situ sensing, and confirmation of ground validation. The majority of sensors used by the laboratory for environmental review are based on the principles of spectroscopy and are part of the Internet of Things. Additionally, the laboratory suppliers (and in some cases develops) terrestrial and aerial carrying the sensors, including individually low flight means (UAVs), spektroradiometra, electromagnetic and optical scanners soil and plants. The collection of Earth observation data through the use of appropriate spectroscopy-based sensors results, among other things, in the creation and constant updating of spectral signature libraries for soil, water and vegetation.

In addition, the laboratory with the use of Geographic Information System (GIS)  performs spatial analysis procedures and creates the appropriate spatio-temporal databases, corresponding thematic maps and the corresponding spatio-temporal simulation and fusion of these levels of information so that they can the corresponding services to end users are produced.

The main areas in which the laboratory explores the data collected through remote sensing are the agronomic applications of remote sensing, spectroscopy and GIS, including the wider area of ​​rural activity and its impact on the environment:

  • Monitoring and evaluation of agricultural resources (crop mapping, digital soil mapping, rural water use, aquaculture mapping, land use changes over time, etc.).
  • Monitoring of the impact of agricultural activity on the environment (modeling of soil erosion, mapping of downstream wetland and aquatic vegetation, monitoring of the quality of downstream water bodies, development of early warning systems, erosion risk assessment, desertification risk assessment, etc. ,).
  • Precision agriculture applications.
  • Estimation of qualitative and quantitative properties of soil, water and vegetation (estimation of leaf surface index, evaporation, soil humidity, biomass, diagnosis of tropophenes, pathogens and other factors of aging of agricultural crops, etc.).


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