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 earthly, aerial and remote sensing methods. The spectral sensors are used by the laboratory for soil survey, water and vegetation and are related to various review levels (proximal overview - proximal sensing, satellite remote sensing - satellite remote sensing and field survey - in situ sensing) and for 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 is being supplied (and in some cases develops) earthly and aerial sensors, including individually low flight means (UAVs), spektroradiometers, electromagnetic and optical scanners for soil and plants. The collection of Earth observation data through the use of the appropriate spectroscopy-based sensors results, contributes in the creation and constant updating of spectral signature libraries for soil, water and vegetation.

Also 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 spatio-temporal simulation and fusion of these levels of information, in order the corresponding services to be available to the end users.

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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